Publications

@conference{Akermi2023,

title = {A Review of RPL Based Routing Protocols in Vehicular Ad Hoc Networks (VANET)},

author = {W. Akermi and N. Alyaoui and A. Benfradj Guiloufi and K. Chabir},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182918682\&doi=10.1109%2fIW_MSS59200.2023.10369450\&partnerID=40\&md5=f22d01e6c19b06223728871ee184f440},

doi = {10.1109/IW_MSS59200.2023.10369450},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In the present day, the Internet of Things is becoming more and more popular. Enabling continuous connectivity and packet routing in this kind of network is difficult because of the resource limitations that are a feature of IoT. Reduce end-to-end latency, conserve energy, and balance network load are the three basic objectives of lightweight routing protocol. In this paper, we give a quick review of the IPv6 Routing Protocol for Low-Power and Lossy Networks-based routing protocols of VANET already in use and discuss their advantages and disadvantages. More specifically, we examine a few chosen VANET routing protocols and contrast their performance based on metrics like packet delivery ratio, Throughput, End to end delay, Routing- Cost, etc. © 2023 IEEE.},

note = {cited By 0},

keywords = {Conserve energy; End to end latencies; IoT; Low Power Networks; Network load; Packet routing; Resource limitations; Routing-protocol; RPL; Vehicular Adhoc Networks (VANETs), Internet of things; Internet protocols; Low power electronics; Mobile telecommunication systems; Vehicular ad hoc networks, Routing protocols},

pubstate = {published},

tppubtype = {conference}

}

@conference{BenHassen2023,

title = {Control of an Uncertain Nonlinear System},

author = {W. Ben Hassen and T. Abdelkrim and N. Abdelkrim and A. Tellili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182923062\&doi=10.1109%2fIW_MSS59200.2023.10369415\&partnerID=40\&md5=e264458a100137624061429867ba30a6},

doi = {10.1109/IW_MSS59200.2023.10369415},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This article presents an advanced control approach for nonlinear and uncertain dynamic systems using two powerful methods: Backstepping and Adaptive Backstepping. Nonlinear and uncertain systems are common in many industrial applications, and achieving effective control for them is a major engineering challenge. The Backstepping method, a control technique based on recursion, is first introduced to stabilize nonlinear and uncertain dynamic systems. It allows for the design of successive control laws by progressively moving up the chain of the system's state variables, stabilizing them one by one. This approach offers significant flexibility in handling a variety of nonlinear and uncertain systems. Next, Adaptive Backstepping is presented as an extension of the basic method. This approach takes into account uncertainties and parametric variations in the system, making it particularly well-suited for systems whose characteristics may change over time. Adaptive Backstepping automatically adjusts control laws to maintain system stability and performance, even in the presence of unknown disturbances and uncertainties. © 2023 IEEE.},

note = {cited By 0},

keywords = {Adaptive backstepping; Adaptive Control; Advanced control; Control approach; Control laws; Lyapunov; Non-linear dynamic systems; Uncertain; Uncertain dynamic systems; Uncertain nonlinear systems, Adaptive control systems; Backstepping; Control theory; System stability, Uncertain systems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Abdelkrim2023,

title = {Diagnosis and FTC : descriptor approach},

author = {T. Abdelkrim and W. B. Hassen and N. Abdelkrim and A. Tellili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182942646\&doi=10.1109%2fIW_MSS59200.2023.10369866\&partnerID=40\&md5=3c62704ef7cfe74e28f5f066859b3d8c},

doi = {10.1109/IW_MSS59200.2023.10369866},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper we propose an approach of fault diagnosis and identification (FDI) and fault tolerant control(FTC) applied for time-delay continuous linear systems. To estimate the sensors faults descriptor approach is investigated. This method consists in augmenting the state system by considering the fault as an auxiliary state. The used observer can simultaneously estimate both the state system and sensors faults. The observer gains are then determined according to Linear Matrix Inequalities (LMI) technique. For fault tolerant control we present two control strategies which stabilize the system not only in free-fault case, but also in the fault occurrence. The first one consists in determine the state-feedback gain and the second one is based on the static output-feedback control. A numerical example is proposed to demonstrate the effectiveness and the merit of the given design. © 2023 IEEE.},

note = {cited By 0},

keywords = {Continuous time systems; Delay control systems; Fault detection; Fault tolerance; Feedback control; Linear systems; State feedback; Time delay; Timing circuits, Descriptor approach; Fault diagnosis and identification; Fault estimation; Faults tolerant controls; Linear matrix in equalities; Observer; Sensors faults; System faults; Time-delay systems; Time-delays, Linear matrix inequalities},

pubstate = {published},

tppubtype = {conference}

}

@conference{Habib2023,

title = {Trust Management Techniques in the Internet of Things},

author = {M. Habib and R. Kilani and A. Zouinkhi and H. Dahman},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182943741\&doi=10.1109%2fIW_MSS59200.2023.10369881\&partnerID=40\&md5=b68ac11920f330e991bb5f5c1c65e559},

doi = {10.1109/IW_MSS59200.2023.10369881},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Internet of Things encompasses a network of interconnected devices that are furnished with sensors, processing capabilities, and communication components, enabling them to share data not only amongst themselves but also with external systems. The swift proliferation of interconnected devices, coupled with the escalating volume of data exchanged among them, has underscored the imperative for establishing trust management mechanisms among the diverse nodes within the IoT landscape. Within the confines of this paper, we elucidate the myriad techniques employed for trust management within IoT systems. This investigation seeks to offer a methodical delineation of pertinent trust management strategies, furnishing researchers with a comprehensible insight into how diverse IoT systems can effectively function and exchange information under a framework of trust. Comparative studies between the different approaches to trust management in IoT systems are presented and concluded by a synthesis in order to show the most interesting method applied to manage trust between IoT nodes. © 2023 IEEE.},

note = {cited By 0},

keywords = {Communication components; External systems; Management techniques; Processing capability; Security; Sensor processing; Trust contribution; Trust management; Trust management technique, Electronic data interchange; Information management; Trusted computing, Internet of things},

pubstate = {published},

tppubtype = {conference}

}

@conference{Farhat2023,

title = {Design and Implementation in VHDL-AMS of a Novel Reconfigurable Mono-bit Sigma Delta Modulator},

author = {F. Farhat and H. Dahman and J. Lloret and N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182947451\&doi=10.1109%2fIW_MSS59200.2023.10369711\&partnerID=40\&md5=41dd1832647f1471a7bfda2f87cd5b1f},

doi = {10.1109/IW_MSS59200.2023.10369711},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This work presents the VHDL-AMS design and implementation of an innovative reconfigurable third-order single-bit sigma-delta analog-to-digital converter (ΣΔ ADC) tailored for a global ISM band radio receiver, covering Bluetooth, Zigbee, and Wi-Fi. The novelty of this design departs from the common use of integrators in ΣΔ modulators by emphasizing the design of delay components. This unique architecture maintains the oversampling frequency across different bands. The reconfigurability of the ADC is achieved by altering the modulator's order. Specifically, in the Bluetooth and Zigbee bands, only the top two stages (2nd order mash 11) are active, while in the Wi-Fi band, all three stages (3rd order mash 111) are engaged. The reconfigurable ADC is implemented on a Xilinx board for practical application. © 2023 IEEE.},

note = {cited By 0},

keywords = {1-bit sigma delta ADC; Bluetooth/wi-fi/zigbee; Design and implementations; Reconfigurable; Reconfigurable sigma-delta modulator; Sigma Delta modulator; Single-bit; Third order; VHDL-AMS; Wireless sensor network applications, Bluetooth, Delta sigma modulation; Digital radio; Modulators; Radio receivers; Wireless local area networks (WLAN); Wireless sensor networks; Zigbee},

pubstate = {published},

tppubtype = {conference}

}

@conference{Chouikhi2023,

title = {Improvement in Isolation Between MIMO Antennas Using MTM Stop-Band Cells in the mm-Wave Band},

author = {L. Chouikhi and C. Essid and H. Sakli and B. Ben Salah},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186139814\&doi=10.1109%2fMMS59938.2023.10421712\&partnerID=40\&md5=014a5477eaa21b8cd0c2bf83f327838b},

doi = {10.1109/MMS59938.2023.10421712},

issn = {21579822},

year  = {2023},

date = {2023-01-01},

journal = {Mediterranean Microwave Symposium},

publisher = {IEEE Computer Society},

abstract = {In our work, an efficient method to minimize the mutual coupling (MC) from two symmetrical rectangle antennas (Ra) functioning at 26 GHz band is described. This is achieved by adding an arrangement of three split-ring resonator (SRR) cells (placed in the Y-plane) between 2-element MIMO antennas that are positioned in the X-plane. The SRR design is intended to provide bandstop functionality within the antenna bandwidth. As a result, the mutual coupling level is reduced by 23 dB while maintaining the antenna's performance and by packing the MIMO structure with three cells of SRR. In addition, the prototype antenna's simulated isolation varies from -32 to -55 dB on the frequency band of 25.5-26.6 GHz. The reflection coefficient is roughly -40 dB at 26 GHz, with a high gain of 7.5 dB and efficiency higher than 90%. This makes our antenna an effective competitor for MIMO applications at the 26 GHz band enabling the fifth generation (5G) cellular communications. © 2023 IEEE.},

note = {cited By 0},

keywords = {5G mobile communication systems; Millimeter waves; Optical resonators; Ring gages, 5g; GHz band; Isolation; MIMO structure; MIMO-antennas; Mm-wave band; Mutual coupling; Splitring resonators; Stopband; X-Plane, Microwave antennas},

pubstate = {published},

tppubtype = {conference}

}

@conference{BenYamna2023,

title = {High Efficiency Rectifier for 5G Applications},

author = {M. Ben Yamna and N. Dakhli and H. Sakli and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186143566\&doi=10.1109%2fMMS59938.2023.10421552\&partnerID=40\&md5=8f57835b045c686db29d3932116e21fa},

doi = {10.1109/MMS59938.2023.10421552},

issn = {21579822},

year  = {2023},

date = {2023-01-01},

journal = {Mediterranean Microwave Symposium},

publisher = {IEEE Computer Society},

abstract = {This article presents a rectifying circuit suitable for transfer and energy harvesting applications. The rectifier is designed by using microstrip technology on FR4 substrate, it is based on a single diode in series as topology and operates at 3.5 GHz corresponding to 5G band. The structure represents good results which demonstrate more than 21 dB input power range with an efficiency higher than 30 % and a peak of efficiency reached 67.6% and a voltage of 2.51 V for an input power of 14.8 dBm and a load of 310 Ω. © 2023 IEEE.},

note = {cited By 0},

keywords = {5g band; FR4 substrates; Higher efficiency; Input power; Microstrip Technology; Power conversion efficiencies; Power conversion efficiency; Rectenna; Rectifier; Schottky diodes, 5G mobile communication systems; Conversion efficiency; Electric rectifiers; Rectennas; Rectifying circuits; Schottky barrier diodes, Energy harvesting},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi20239455,

title = {Zonotope-based Fault Estimation for Uncertain Discrete-Time Switched Linear Systems},

author = {L. Dadi and T. N. Dinh and R. Lamouchi and H. Ethabet and T. Ra\"{i}ssi and M. Aoun},

editor = {Imura J. Ebihara Y. Ishii H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184963025\&doi=10.1016%2fj.ifacol.2023.10.240\&partnerID=40\&md5=f71bb669c8449ccdfc84abc94e681683},

doi = {10.1016/j.ifacol.2023.10.240},

issn = {24058963},

year  = {2023},

date = {2023-01-01},

journal = {IFAC-PapersOnLine},

volume = {56},

number = {2},

pages = {9455-9460},

publisher = {Elsevier B.V.},

abstract = {This paper investigates actuator fault estimation for discrete-time switched linear systems subject to unknown but bounded disturbances and measurement noises. By taking the fault as an auxiliary state vector, the proposed method consists of two steps. First, a switched L∞-based descriptor observer attenuating the effect of uncertainties is designed to obtain simultaneous point estimate of the system state and the fault term. Second, interval estimation is achieved by integrating robust point estimation with zonotopic analysis techniques. The observer gains are calculated by solving Linear Matrix Inequality (LMI) derived using a common Lyapunov function. Finally, the effectiveness of the proposed approach is demonstrated through a numerical example. Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)},

note = {cited By 0},

keywords = {Actuator fault; Discrete time; Discrete-time switched linear system; Fault estimation; LMI; Peak analysis; Peak-to-peak; Peak-to-peak analyse; Switched linear system; Zonotopes, Linear matrix inequalities, Linear systems; Lyapunov functions; Uncertainty analysis},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mechri2023780,

title = {Experience Feedback and Probabilistic Graphical Model for Failure Causes Isolation},

author = {Walid Mechri and Christophe Simon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177465282\&doi=10.1109%2fCoDIT58514.2023.10284473\&partnerID=40\&md5=bd55a7443889cebd39e98d67836b25c0},

doi = {10.1109/CoDIT58514.2023.10284473},

year  = {2023},

date = {2023-01-01},

journal = {9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023},

pages = {780 \textendash 785},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mechri2023914,

title = {Alternating Test Strategy for Multi-State Safety System Performance Analysis},

author = {Walid Mechri and Christophe Simon and Wahbi Rajhi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177447130\&doi=10.1109%2fCoDIT58514.2023.10284360\&partnerID=40\&md5=e4a1396ea31962ac94a48648f5b07f5e},

doi = {10.1109/CoDIT58514.2023.10284360},

year  = {2023},

date = {2023-01-01},

journal = {9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023},

pages = {914 \textendash 919},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Darghouthi2023,

title = {Equalizers Performance Enhancing in MISO-OTFS Configuration},

author = {A. Darghouthi and A. Khlifi and B. Chibani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182943471\&doi=10.1109%2fIW_MSS59200.2023.10369509\&partnerID=40\&md5=21e89488c5488424bc138e4778068b81},

doi = {10.1109/IW_MSS59200.2023.10369509},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {For future mobile communications networks, a key challenge is to offer and retain a number of parameters, like high data rates, while preserving a greater degree of service quality (QoS). Main performance indexes lower latency and power consumption. It's widely known that this is the most reliable choice for the post-fifth physical layer. Mobile networks adopt a famous modulation model named OTFS (Orthogonal Time-Frequency Space). So, the paper concerns how better an equalization procedure will be based on both ZF (zero forcing) and MMSE (minimum mean square error equalization) with respect to offered complexity. The effectiveness of these various strategies will be investigated in this study with reference to the obtained simulation results. © 2023 IEEE.},

note = {cited By 0},

keywords = {Bit error rate, Bit-error rate; Diversity; High data rate; High data-rates; High mobility; Mobile communication networks; Performance enhancing; Space configuration; Time-frequency space; Waveforms, Equalizers; Mean square error; Mobile telecommunication systems; Network layers; Quality of service; Wireless networks},

pubstate = {published},

tppubtype = {conference}

}

@conference{Troudi2023,

title = {Bandwidth With FSS Antennas Enhancement Using MoM Approach},

author = {I. Troudi and B. Chibani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182929533\&doi=10.1109%2fIW_MSS59200.2023.10368792\&partnerID=40\&md5=b55e5a53552c8da68f321eb3b2813df4},

doi = {10.1109/IW_MSS59200.2023.10368792},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper presents a study concerning an antenna behavior optimization approach based on Frequency Selective Surfaces (FSS). This is done using the Method of Moments (MoM). Periodic structures can select, filter, and manipulate electromagnetic waves based on their frequency. Antenna design could be enhanced using FSS to improve antennas' performance. They can be used to enhance antenna gain or act as a Frequency Selective Surface to reject unwanted frequencies. © 2023 IEEE.},

note = {cited By 0},

keywords = {Antenna behavior; Antenna design; Antenna gains; Antenna performance; Frequency-selective surfaces; Optimization approach, Bandwidth; Electromagnetic wave absorption; Electromagnetic waves; Method of moments, Frequency selective surfaces},

pubstate = {published},

tppubtype = {conference}

}

@conference{Monia2023,

title = {Benefits of high speed telecommunication in telemedicine for rural zone health problems},

author = {Ibrahim Monia and Dadi Mohamed-Bechir and Rhaimi B. Chibani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182936883\&doi=10.1109%2fIW_MSS59200.2023.10369855\&partnerID=40\&md5=322f722e9925bec89d638f3d33aaa6b2},

doi = {10.1109/IW_MSS59200.2023.10369855},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Souid20231136,

title = {Full Interpretability CBMIR to Help Minimize Radiologist Analysis Search Time},

author = {A. Souid and S. B. Othman and M. Hamroun and H. Sakli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167737946\&doi=10.1109%2fIWCMC58020.2023.10183105\&partnerID=40\&md5=e4d8ee981345e84ba778805d96cfe8d9},

doi = {10.1109/IWCMC58020.2023.10183105},

isbn = {9798350333398},

year  = {2023},

date = {2023-01-01},

journal = {2023 International Wireless Communications and Mobile Computing, IWCMC 2023},

pages = {1136-1141},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The area of medical imaging has experienced a remarkable expansion in recent times, with radiologists heavily depending on medical images for precise diagnoses. However, radiologists often encounter difficulties when presented with cases of uncertain diagnoses as they struggle to find comparable cases in both public and internal databases to assist them in their decision-making. This manual search process not only detracts from the ability to diagnose new cases but also places a considerable burden on radiologists' workflow. To tackle these challenges, this study suggests a computer-aided system that can automatically retrieve annotated medical images with similar content. This system incorporates a feature extractor based on deep learning, designed to simplify the process of identifying comparable images from an extensive chest radiograph database. The main focus of this study is on the feature extractor, which utilizes YOLOv5 and EfficientNet. YOLOv5 is known for its fast and efficient object detection framework, while the EfficientNet-B0 encoder block serves as an image retrieval and EfficientNet-B3 helps prevent noisy predictions. The study conducted experiments on a large dataset to evaluate the performance of the proposed solution. The results demonstrate that the model outperforms other classical approaches, with a mean average precision of 0.488 at a threshold of 0.9, which is higher than the performance of YOLOv5+ResNet, and EfficientDet of 0.234 and 0.257 respectively. Moreover, the model precision was significantly higher, with a precision of 0.864 for all pathologies, which was 0.352 higher than YOLOv5+ResNet and EfficientDet. Overall, the proposed computer-assisted system has the potential to enhance the efficiency of radiologists' workflow by offering a more effective and efficient tool for retrieving similar annotated medical images. This study is a significant advancement in the development of intelligent and efficient image retrieval systems in the medical imaging field. The proposed solution has the potential to significantly impact the diagnosis of complex medical cases, particularly in emergency departments. © 2023 IEEE.},

note = {cited By 1},

keywords = {CBMIR; Deep learning; Feature extractor; Interpretability; Lung pathology; Performance; Single stage; Single-stage detection; Work-flows; X-ray analyse, Computer aided analysis; Computer aided instruction; Decision making; Deep learning; Diagnosis; Energy dispersive X ray analysis; Image annotation; Image enhancement; Image retrieval; Large dataset; Object detection; Pathology; Search engines, Medical imaging},

pubstate = {published},

tppubtype = {conference}

}

@conference{Souid2023,

title = {Explainable CBMIR features extractor module to ease Thoracic aortic aneurysm retrieving preventing potential Acute Aortic Dissection},

author = {Abdelbaki Souid and Soufiene Ben Othman and Mohamed Hamroun and Hedi Sakli and Mohamed Naceur Abdelkarim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179551511\&doi=10.1109%2fINISTA59065.2023.10310391\&partnerID=40\&md5=da47096b8ebf6a0326e3c3e3e3929882},

doi = {10.1109/INISTA59065.2023.10310391},

year  = {2023},

date = {2023-01-01},

journal = {17th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2023 - Proceedings},

volume = {13},

number = {1},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Sakli2023,

title = {Deep Learning-Based Multi-Stage Analysis for Accurate Skin Cancer Diagnosis using a Lightweight CNN Architecture},

author = {Marwen Sakli and Chaker Essid and Bassem Ben Salah and Hedi Sakli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179555438\&doi=10.1109%2fINISTA59065.2023.10310615\&partnerID=40\&md5=8e0012f4b06db07df0bb207524b2b3b4},

doi = {10.1109/INISTA59065.2023.10310615},

year  = {2023},

date = {2023-01-01},

journal = {17th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2023 - Proceedings},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Sakl20231142,

title = {DL Methods for Skin Lesions Automated Diagnosis In Smartphone Images},

author = {M. Sakl and C. Essid and B. B. Salah and H. Sakli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167710093\&doi=10.1109%2fIWCMC58020.2023.10183254\&partnerID=40\&md5=114719a149be9621210ab8022b8b21ed},

doi = {10.1109/IWCMC58020.2023.10183254},

isbn = {9798350333398},

year  = {2023},

date = {2023-01-01},

journal = {2023 International Wireless Communications and Mobile Computing, IWCMC 2023},

pages = {1142-1147},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Skin lesions classification is a crucial endeavor in dermatology, as precise diagnosis is critical for improving patient outcomes and lowering the incidence of skin cancer. The PAD-UFES-20 dataset is very relevant for this task since it contains 2,298 imbalanced skin lesions smartphone images. Thus, data sampling techniques such as Random Over Sampling (ROS) and SMOTE were applied to overcome this issue. This work is based on two scenarios. The first scenario aims to classify the whole six classes figuring in this dataset, using various powerful proposed methods based on Deep Learning (DL) models. The best performance was achieved when employing EfficientNetB0 with data ROS, as it reached an accuracy of 92.01%, F1-score of 92.01%, and AUC of 97.12%. The objective of the second scenario is to make a triage between two skin lesions: Melanoma and Nevus using DL techniques. The results of the use of an EfiicientNetB1 with data ROS demonstrated a high level of accuracy, F1-score, and AUC, with a measurement of 98.98%, 99.22%, and 99.95%, respectively. The study's high-performance shows that these methods might have the potential to be a useful tool for clinicians in the examination and diagnosis of skin lesions, thereby enhancing the healthcare quality. © 2023 IEEE.},

note = {cited By 1},

keywords = {Classification (of information); Computer aided diagnosis; Deep learning; Dermatology; mHealth; Oncology, Deep learning; F1 scores; Melanoma; Over sampling; Performance; Random over sampling; Skin lesion; Smart phones; Smartphone image; SMOTE, Smartphones},

pubstate = {published},

tppubtype = {conference}

}

@conference{Ghabri2023,

title = {AI-enhanced thyroid detection using YOLO to empower healthcare professionals},

author = {H. Ghabri and W. Fathallah and M. Hamroun and S. Ben Othman and H. Bellali and H. Sakli and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182950474\&doi=10.1109%2fIW_MSS59200.2023.10369271\&partnerID=40\&md5=67e47b260997d2d01a4a6b578d9d3e3e},

doi = {10.1109/IW_MSS59200.2023.10369271},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

volume = {13},

number = {1},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this research, we present an approach to improve thyroid diagnosis and provide experts in medical fields by leveraging artificial intelligence (AI) technology. Our research aims to speed up the diagnostic process, particularly in emergency situations where specialized medical personnel are not always available. Our technology includes a user-friendly interface that enables healthcare professionals to efficiently submit ultrasound scans of their patients' thyroids. The images are then analyzed using integrated AI algorithms based on the YOLOv5 object detection model. In real-time, these algorithms efficiently and rapidly identify and localize thyroid areas. With an overall precision rate of 0.879 and a recall rate of 0.862, the results show a high degree of precision and recall. The average precision (mAP50) is 0.892, confirming the accuracy of localization. The system offers invaluable support to healthcare professionals with comprehensive reports and annotations, facilitating informed decision-making and patient care. The combination of AI technologies presented in this study yields promising results, highlighting their potential to transform thyroid detection and professional assistance in the medical field. © 2023 IEEE.},

note = {cited By 1},

keywords = {Artificial intelligence technologies; Diagnostic process; Emergency situation; Health care professionals; Medical diagnose healthcare assistance; Medical fields; Objects detection; Speed up; Ultrasound thyroid detection; YOLO, Decision making; Diagnosis; Health care; Object recognition; Ultrasonic applications, Object detection},

pubstate = {published},

tppubtype = {conference}

}

@conference{Farah2023,

title = {High level petri nets modeling of advanced vehicle control},

author = {K. Farah and K. Chabir and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182941638\&doi=10.1109%2fIW_MSS59200.2023.10368635\&partnerID=40\&md5=0160db61a1a1c9bab0e8612c6871cc80},

doi = {10.1109/IW_MSS59200.2023.10368635},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this document we propose improvements in terms of communication between parts of the existing cooperative conduct system. These modifications make the system expandable in number of vehicles. That is to say, along its route, this platoon will send a aleatory call to all connected drivers, to join it. Each vehicle wishing to be part of this platoon must send a configuration and registration message and must provide the necessary information to be part of the platoon. This new feature can reduce traffic congestion and save energy. This article, paves the way for the emergence of a new type of driving system that we will call "EX-platoon"extensible platoon abbreviation. Thus, through this document, we will develop a model based on a Petri network describing the flow of messages exchanged between the different parts of this system necessary to allow the cooperative driving system to be extensible. This article presents a high-level model based on the Petri network for internal and external communication flow in a scalable cooperative driving system. © 2023 IEEE.},

note = {cited By 0},

keywords = {Advanced vehicle; Cooperative driving; Driving systems; Expandable cooperative driving system (EX-platoon); High-level Petri net modeling; High-level Petri nets; Inscription; Model-based OPC; Petri network; Vehicle Control, Control system synthesis; Cooperative communication; Petri nets; Vehicle to vehicle communications; Vehicles, Traffic congestion},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yahia2023,

title = {A new approach for monitoring disease progression in Multiple Sclerosis Lesions using 3D Magnetic Brain Image},

author = {S. Yahia and Y. Ben Salem and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182934544\&doi=10.1109%2fIW_MSS59200.2023.10368989\&partnerID=40\&md5=1db63676e6dd4ef5f174eddba821b57a},

doi = {10.1109/IW_MSS59200.2023.10368989},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Multiple Sclerosis (MS) lesions is a chronic autoimmune inflammatory disease that affects the nerves in the spinal cord and the brain. Magnetic Resonance Imaging (MRI) is a successful, highly sensitive MS lesion diagnostic technique. It is used to monitor the activity and progression of this disease. Monitoring the progression of multiple sclerosis (MS) is crucial for timely intervention and treatment adjustments, as it can help improve patients' quality of life and contribute to ongoing research efforts to better understand the disease. This paper uses two techniques to monitor MS lesions progression: the Decimal Descriptor Pattern (DDP) and the Local Binary Pattern (LBP). These operators are used to extract the most important features and to characterize the properties of the structures in the brain. 3D MRI brain are described using a collection of orthogonal planes. We have developed an extension to the DDP descriptor to improve the performance in MS evolution. Our results are proof that our approach is effective and fast. © 2023 IEEE.},

note = {cited By 0},

keywords = {3d magnetic resonance image; Brain images; Descriptors; Disease progression; Features extraction; Multiple sclerose lesion evolution; Multiple sclerosis; Multiple sclerosis lesions; New approaches; Orthogonal plane, Brain mapping; Diagnosis; Diseases; Local binary pattern; Patient treatment, Magnetic resonance imaging},

pubstate = {published},

tppubtype = {conference}

}

@conference{Salem2023,

title = {Polynomial battery control for photovoltaic systems},

author = {Mariem Hadj Salem and Yemna Bensalem and Karim Mansouri and Eric Cauveau and Mohamed Naceur Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182930683\&doi=10.1109%2fIW_MSS59200.2023.10368884\&partnerID=40\&md5=d68fe8a5febb247a3a2be00007689a5d},

doi = {10.1109/IW_MSS59200.2023.10368884},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Kilani2023,

title = {Monetization of Industrial IoT services using Blockchain and smart contract},

author = {R. Kilani and A. Zouinkhi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182931639\&doi=10.1109%2fIW_MSS59200.2023.10369375\&partnerID=40\&md5=68c38f57ca41b931bd0bec20a45124e4},

doi = {10.1109/IW_MSS59200.2023.10369375},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Internet of Things (IoT) plays a very important and remarkable role in many fields such as smart grids, healthcare, industry, etc. IoT also makes people's lives easier and improves their interactions with each other by using devices and sensors of different sizes that are heterogeneous or homogeneous. As a key part of Industry 4.0, IoT has been widely used in various industrial fields. The integration of Blockchain and IoT technologies in Industry 4.0 plays an important role in improving the performance of systems in Industry. This integration improves classic deterministic interactions between industrial devices to become intelligent interactions. Blockchain is an advanced technology that leads to robust distributed applications. It is a tamperproof, decentralized, immutable and transparent database. In this paper, we present the principle of monetization as a principle of interaction between industrial objects. By integrating Blockchain and smart contract technology, industrial objects can exchange services according to the principle of monetization in a transparent and secure manner. © 2023 IEEE.},

note = {cited By 0},

keywords = {Block-chain; Different sizes; Healthcare industry; Industrial fields; Industrial internet of thing; Internet of things technologies; Key parts; Monetization; Performance of systems; Smart grid, Blockchain; Industry 4.0; Internet of things, Smart contract},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mhamdi2023,

title = {A Brief Overview of Blockchain Technology and Access Control in IoT},

author = {H. Mhamdi and A. Zouinkhi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182931642\&doi=10.1109%2fIW_MSS59200.2023.10369788\&partnerID=40\&md5=84147ee67dd8fe576c7ea7ecac0adc04},

doi = {10.1109/IW_MSS59200.2023.10369788},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Internet's lightning-fast growth and the smartphone industry has led to the emergence of the Internet of Things (IoT), which aims to connect all objects/devices to the Internet so that automated objects can interact with their environment and communicate data eliminating the need for human interaction. IoT has the potential to transform industries and enable new forms of innovation and efficiency, but it also poses challenges in terms of privacy, security, and data management. As the number of connected devices continues to grow, it will be essential to develop standards and best practices to assure IoT system reliability and safety. To accomplish these obstacles of efficient data sharing and authorized access control, otherwise decentralized automation, security, and stakeholder trust management in the IoT, a new technology called Blockchain has emerged. In this context, this paper introduces Blockchain technology, which is characterized by decentralization, transparency, and immutability. It can be used to solve some of the challenges facing IoT systems, such as data security and confidentiality. In addition, this paper presents a study on the contribution of blockchain technology (BC) and access control (AC) methods in IoT systems. © 2023 IEEE.},

note = {cited By 0},

keywords = {Access control; Blockchain; Information management; Internet of things, Best practices; Block-chain; Data Sharing; Fast growths; Humaninteraction; New forms; Smart phones; Standard practices; System reliability; System safety, Smart contract},

pubstate = {published},

tppubtype = {conference}

}

@conference{Benjemaa2023,

title = {State feedback control for LPV neutral time delay descriptor systems},

author = {R. Benjemaa and A. Elhsoumi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182928110\&doi=10.1109%2fIW_MSS59200.2023.10369343\&partnerID=40\&md5=a2e529e1caf90174007d9e29e5c7536a},

doi = {10.1109/IW_MSS59200.2023.10369343},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This work investigates the stability and the control problem of linear parameter varying (LPV) neutral time delay systems. The state feedback controller is considered in this case. The proposed control method is a classic state feedback control which presents to maintain the stability of closed loop LPV systems. The simulation results proven the effectiveness of the state feedback controller method for the LPV neutral time delay systems. © 2023 IEEE.},

note = {cited By 0},

keywords = {Closed loop control systems; Controllers; Delay control systems; Feedback control; State feedback; System stability; Timing circuits, Control problems; Descriptor systems; Linear parameter varying; Linear parameter varying systems; LMI; Neutral time delay; Neutral time-delay system; State feedback control; State feedback controller; Time-delays, Time delay},

pubstate = {published},

tppubtype = {conference}

}

@conference{HadjSalem2023,

title = {Simulation of an Energy Management System and Control in a Multi-Source System},

author = {Mariem Hadj Salem and Karim Mansouri and Eric Cauveau and Yemna Bensalem and Mohamed Naceur Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182917541\&doi=10.1109%2fIW_MSS59200.2023.10368935\&partnerID=40\&md5=147cd5876aa69b5aac36691ce4a8276e},

doi = {10.1109/IW_MSS59200.2023.10368935},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Saada2023,

title = {Examining DIDIM and IV Approaches through the Double Least Squares Method for Comparative Assessment},

author = {F. Saada and K. Chabir and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182941796\&doi=10.1109%2fIW_MSS59200.2023.10369269\&partnerID=40\&md5=3b2e0c922b926ee775dfe3a963844772},

doi = {10.1109/IW_MSS59200.2023.10369269},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Typically, the process of determining dynamic parameters for robots entails the utilization of the Inverse Dynamic Model (IDM), which exhibits linearity concerning the parameters under identification. This is coupled with the application of Linear Least Squares (LLS) techniques. To execute this method, it is imperative to acquire highly accurate measurements of both torque and position at a high sampling frequency. Moreover, it is necessary to estimate velocities and accelerations by applying a band-pass filtering method to the positional data. Because of the presence of noise within the observation matrix and the iterative nature of the identification process, we have adapted the Instrumental Variable (IV) method to tackle the challenge of noisy observations. A recent successful application involved a novel identification approach called the Direct and Inverse Dynamic Identification Model (DIDIM), which relies solely on torque measurements as its input variables. The experimental findings demonstrate that the IV and DIDIM techniques yield comparable numerical results. In this paper, we undertake a comparative analysis of these two approaches using a double step least squares (2SLS) examination. To substantiate our findings, we carry out experimental validation using a 2-degree-of-freedom planar robot. © 2023 IEEE.},

note = {cited By 0},

keywords = {Acceleration, Direct and inverse dynamic identification model method; Direct dynamics; Double least square; Dynamic identification; Identification; Identification modeling; Instrumental variables; Inverse dynamics; Least Square; Model method; Robotic dynamics, Inverse problems; Iterative methods; Least squares approximations; Parameter estimation; Robotics},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mizouri2023,

title = {Functional Interval Estimation for Uncertain Continuous-time Linear Parameter-Varying Multivariable Systems},

author = {H. Mizouri and R. Lamouchi and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182948352\&doi=10.1109%2fIW_MSS59200.2023.10369308\&partnerID=40\&md5=22538226eb9d2307c12e8b4aa894a2d4},

doi = {10.1109/IW_MSS59200.2023.10369308},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper presents the design of a functional interval observer (FIO) adapted to continuous-time uncertain Linear Parameter-Varying (LPV) multivariable systems. This system is subject to parameter uncertainties, external disturbances and measurement noise. Under the assumption that these uncertainties are unknown but bounded within known intervals, an FIO is recommended to estimate the boundaries of the functional state. An L∞ performance criterion is employed to improve stability and estimation accuracy. Ultimately, a numerical example is utilized to validate the effectiveness of the suggested approach. © 2023 IEEE.},

note = {cited By 0},

keywords = {Continous time; Functional interval; Functional interval observer; Interval estimation; Interval observers; Linear parameter varying; Linear parameter varying systems; L∞ performance; Multi-variables system; ∞performance, Continuous time systems; Linear systems; Parameter estimation; Uncertainty analysis, Multivariable systems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi2023,

title = {Functional Interval Observers Design for Linear Discrete-time Switched Systems},

author = {R. Lamouchi and R. Akremi and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182941782\&doi=10.1109%2fIW_MSS59200.2023.10368636\&partnerID=40\&md5=d0650ec23ad255545a38e2df04ebd53e},

doi = {10.1109/IW_MSS59200.2023.10368636},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper deals with the problem of robust state estimation for linear discrete-time switched systems with uncertainties. In order to reduce both complexity and observer order, the proposed approach is based on Functional Observers (FO) which provide guaranteed estimates of the functional state instead of estimating the real state vector. Assuming that the uncertainties are unknown but bounded by known bounds, the Switched Functional Interval Observer (SFIO) is designed based on interval analysis. Necessary and sufficient conditions for observer existence are established to compute the observer matrices. Numerical example is given to show the applicability of the proposed method. © 2023 IEEE.},

note = {cited By 0},

keywords = {Digital control systems; Discrete time control systems; Uncertainty analysis, Discrete - time systems; Functional interval; Functional observer; Interval analysis; Interval observers; Linear discrete time switched system; Observers designs; Robust state estimation; Switched system; Uncertainty, Numerical methods},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mizouri2023434,

title = {L∞-Functional Interval Observers for Continuous-time Linear Parameter-Varying Multivariable Systems},

author = {H. Mizouri and R. Lamouchi and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167802741\&doi=10.1109%2fMED59994.2023.10185821\&partnerID=40\&md5=bedeb166743e9bb0e95812ae4b62239b},

doi = {10.1109/MED59994.2023.10185821},

isbn = {9798350315431},

year  = {2023},

date = {2023-01-01},

journal = {2023 31st Mediterranean Conference on Control and Automation, MED 2023},

pages = {434-439},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {A functional interval estimation method is proposed for Linear Parameter-Varying (LPV) multivariable systems with external disturbance and measurement noise. According to the interval analysis, the proposed estimator gives the upper and lower boundaries of the linear functional state. An L∞ criterion is used to enhance stability and estimation accuracy. The design conditions are stated in the form of Linear Matrix Inequalities (LMIs). Finally, a numerical example is considered to check the validity of the proposed methodology. © 2023 IEEE.},

note = {cited By 2},

keywords = {Continous time; Functional interval; Functional interval observer; Interval estimation; Interval observers; Linear matrix in equalities; Linear parameter varying; Linear parameter varying systems; L∞ formalism; Multi-variables system, Continuous time systems; Linear systems; Multivariable systems, Linear matrix inequalities},

pubstate = {published},

tppubtype = {conference}

}

@conference{BenMoussa2023,

title = {Fractional PID controllers tuned by Particle Swarm Optimization for Multi-Input-Single-Output systems control},

author = {N. B. Ben Moussa and M. Chetoui and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182929784\&doi=10.1109%2fIW_MSS59200.2023.10369692\&partnerID=40\&md5=f91c08bd3fce6c58d621708928e29cc3},

doi = {10.1109/IW_MSS59200.2023.10369692},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper deals with design of fractional-order PID controllers for Multiple-Input Single-Output (MISO) systems control. The controllers parameters are tuned by using the Particle Swarm Optimization (PSO) technique. The proposed idea is to design a SISO fractional order controller of each SISO subsystem by using the whole MISO system output and the desired-loop performances. Three different criteria are used in the PSO optimization technique. The performances of the fractional-order controllers are compared with those obtained with rational-order controllers through a numerical example. © 2023 IEEE.},

note = {cited By 0},

keywords = {Controllers, Electric control equipment; Particle swarm optimization (PSO); Proportional control systems; Three term control systems; Time domain analysis, Fractional-order controllers; Multiple input single output systems; Multiple inputs single outputs; Particle swarm; Particle swarm optimization; PID; PID controllers; Swarm optimization; System control; Time domain},

pubstate = {published},

tppubtype = {conference}

}