Amal EL FALLAH - SEGHROUCHNI

Two important pieces of information: The deadline is fast approaching: June 15 Some articles (2 to 4) will be selected for publication in Elesevier Signal Processing: Image communication journal under a fast track. Aladine Chetouani Mohammed El Hassouni IPTA - International Conference on Image Processing Theory, Tools and Applications

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Call For Papers (Scopus indexed) : 2nd IEEE Conference on Advanced Supply Chain and New Technologies (ASCaNT’25) will be held within the IEEE CiSt’2025 international congress the week of 04th - 10th October 2025, Ouarzazate - Marrakech, Morocco. https://lnkd.in/eJ7jP7qx All Accepted papers will be published in the proceeding and submitted for publication in the IEEE Xplore Library, Scopus and DBLP. #conference #supplychain #scopus #ieee

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Hot of the press our new MDPI journal paper about distinguishing between human generated text and AI-generated text co-authored with my Ph.D. Student Hamed Alshammari. Current AI detection systems often struggle to distinguish between Arabic human-written text (HWT) and AI-generated text (AIGT) due to the small marks present above and below the Arabic text called diacritics. This study introduces robust Arabic text detection models using Transformer-based pre-trained models, specifically AraELECTRA, AraBERT, XLM-R, and mBERT. While our focus was on Arabic language due to its writing challenges, the model architecture is adaptable to any language.

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Dear Network, Please find an extended version of the Short Course entitled "Introduction to Machine Learning and Scientific Machine Learning" given at the pre-Conference doctoral courses of the 1st CEACM Int. Conference on Synergy between Multiphysics/ Multiscale Modeling and Machine Learning S4ML, held at the Faculty of Civil Engineering CTU Prague, June 17-21, 2024

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Dear LinkedIn Friends, Please consider submitting your work to ICSOC'24! ICSOC 2024 - 22st International Conference on Service-Oriented Computing Tunis, 3 - 6 December 2024 https://lnkd.in/gYPTi292 ===========================================* ICSOC, the International Conference on Service-Oriented Computing, is the premier international forum for academics, industry researchers, developers, and practitioners to report and share groundbreaking work in service-oriented computing. ICSOC 2024, the 22st event in this series, will take place in Tunis, Tunisia from 3 to 6 December 2024. Important dates ---------------- Regular paper abstract submissions due: 10 July 2024 (MANDATORY) Regular paper submissions due: 24 July 2024 Final notification to authors: 20 September 2024 Camera ready manuscripts due: 27 September 2024 Author registration: 28 September 2024 All deadlines are in Anywhere on Earth time (AOE = GMT - 12). Check the time in the AOE Zone here: https://time.is/AOE Areas of interest ------------------ ICSOC is the premier international forum for presenting the most recent and significant research contributions in service-oriented computing. These include, but are not limited to: Service design, specification, discovery, customization, composition, and deployment Service change management Theoretical foundations of Service Engineering Service monitoring and adaptive management Secure service lifecycle development Privacy management aspects for services Secure service lifecycle development Privacy management aspects for services Trust management for services Service mining and analytics Data-provisioning services Cloud service management Cloud and fog computing Edge service orchestration Metaverse services IoT services Lightweight service deployment and management Social networks and services Innovative service business models Service-based business process management In addition to the traditional topics, which include theoretical and empirical evaluations, as well as practical and industrial experiences, with emphasis on results that solve open research problems and have significant impact on the field of digital services and service-oriented computing, ICSOC welcome specific new 4 areas, which are presented below. Focus Area 1: Service Oriented Technology Basics and Trends Focus Area 2: AI for Services and as-a-Service Focus Area 3: Novel Service Frameworks for Cloud Continuum and Smart Environments Focus Area 4: Emerging Technologies

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Our paper "FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging" got accepted in #MICCAI2024 (27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION 6-10 October 2024 • MARRAKESH / MOROCCO) (core rank A)(https://lnkd.in/gf55hhAk). Authors: Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, and Samrat Mondal Heartiest congratulations to all authors! Abstract: Despite recent advancements in federated learning (FL) for medical image diagnosis, addressing data heterogeneity among clients remains a significant challenge for practical implementation. A primary hurdle in FL arises from the non-IID nature of data samples across clients, which typically results in a decline in the performance of the aggregated global model. In this study, we introduce FedMRL, a novel federated multi-agent deep reinforcement learning framework designed to address data heterogeneity. FedMRL incorporates a novel loss function to facilitate fairness among clients, preventing bias in the final global model. Additionally, it employs a multi-agent reinforcement learning (MARL) approach to calculate the proximal term for the personalized local objective function, ensuring convergence to the global optimum. Furthermore, FedMRL integrates an adaptive weight adjustment method using a Self-organizing map on the server side to counteract distribution shifts among clients' local data distributions. We assess our approach using two publicly available real-world medical datasets, and the results demonstrate that FedMRL significantly outperforms state-of-the-art techniques, showing its efficacy in addressing data heterogeneity in federated learning.

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Our paper "Deep Neural Networks via Complex Network Theory: a Perspective" has been accepted at the IJCAI International Joint Conferences on Artificial Intelligence Organization #IJCAI2024 !

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Thank you Robert Basmadjian for the insightful webinar. For more details about the specifications of the Toubkal Supercomputer, how to gain access, and additional information, you can watch the video available at this link. MoroccoHPC Toubkal Supercomputer

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Call for Book Chapters Book Title: Robotics and Artificial Intelligence in Sports Medicine and Sports Services Publisher: Elsevier (Free of Charges) Indexing: Scopus Editor: Prof. Olfa Boubaker, INSAT - Institut National des Sciences Appliquées et de Technologie, University of Carthage, Tunisia We are thrilled to invite contributions for our forthcoming book, "Robotics and Artificial Intelligence in Sports Medicine and Sports Services," to be published by Elsevier and indexed in Scopus free of charges. This book will delve into innovative applications of robotics and AI in sports medicine and sports services, highlighting future opportunities and advancements. Key Topics (Not limited to): Robotics and Artificial Intelligence Innovations in Sports Medicine - Injury Prevention and Rehabilitation - Performance Enhancement - Wearable Technology and Monitoring - Robotics in Physiotherapy - AI-driven Training Programs - Biomechanics and Motion Analysis - Data Analytics in Sports Performance - Brain-Computer Interfaces in Rehabilitation Medicine - Virtual Reality and Augmented Reality for Rehabilitation - Integration of IoT, Cloud, Embedded Systems, and Security Tools - Ethical and Legal Considerations in Sports Technology Service Robots in Sports Training, Competitions, and Logistics - Robotic-Assisted Sports Equipment - Sports Training Robots and Devices - Ping Pong and Tennis Sports Robots - Service Robots in Stadium Logistics - Robotic Drones in Sporting Events - Robotic Groundmen and Green Keepers - Robot Sporting Competitions Submission Guidelines: Original, unpublished chapters. Figures and tables must be original or properly attributed with permissions. Formatting per Elsevier guidelines. Important Dates: Abstract Submission Deadline: September 16, 2024 (Submission via e-mail to [email protected]) Full Chapter Submission Deadline: November 30, 2024 (Submission via Elsevier Interface) For detailed guidelines and submission, please refer to the Call for Chapters: https://lnkd.in/dnX-Xvge We look forward to your valuable contributions! #Robotics #AI #SportsMedicine #SportsServices #Innovation #Technology #Research #CallForChapters #Elsevier #Scopus

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[🌐💡 SEMINAR SERIES: Dr. Mohamed Maghenem] The UM6P College of Computing was pleased to host an engaging seminar on "Distributed Gradient-Descent Estimation in Discrete Time," featuring Dr. Mohamed MAGHENEM from Centre national de la recherche scientifique (CNRS), Grenoble, France. Dr. Maghenem explored the complexities of estimating constant unknown parameters in linear input/output relationships in discrete time. His innovative method employs a network of gradient-descent estimators, which exchange their estimates through a directed-graph topology. This approach aims to overcome poor local data and ensure accurate parameter recovery, validated by a Lyapunov-based analysis. Through theoretical insights and numerical simulations, Dr. Maghenem's seminar provided a thorough understanding of this advanced method and its practical implications. We extend our gratitude to Dr. Mohamed Maghenem for an enriching seminar and for contributing to the academic advancement at our College. #SeminarSeries #UM6PCollegeOfComputing #GradientDescent #ControlSystems #Research #Academics #Morocco #UM6P UM6P - Mohammed VI Polytechnic University

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Together with Samira Maghool and Ernesto Damiani I am organizing the "2024 IEEE CSR Workshop on Synthetic Data Generation for a Cyber-Physical World (SDG)" to be held on 2-4 September in London (hybrid event). We kindly ask you to spread the word to your colleagues and students who may find it interesting. Prospective authors are encouraged to submit unpublished contributions from a broad range of topics, which include but are not limited to the following: - Synthetic data generation algorithms - Privacy-preserving in healthcare data - Algorithms for debiasing datasets (in the pre-processing phase of ML modeling) - Algorithms for debiasing the ML models’ results - Uncovering and mitigating synthetic data algorithmic bias - Assurance and certification of the dataset and ML models - Synergy of ABM with ML focusing on the rule extraction - Domain-dependent/independent synthetic data generation challenges and opportunities - FAIR (findability, accessibility, interoperability, and reuse) and ethical synthetic data generation - Explainability and interpretability aspects in synthetic data generation ## Important Dates - Paper submission deadline: June 3, 2024 AoE - Authors’ notification: July 3, 2024 AoE - Camera-ready submission: July 14, 2024 AoE - Early registration deadline: July 20, 2024 AoE - Workshop date: September 2-4, 2024 https://lnkd.in/eZ5Rm82t https://lnkd.in/eArDum7a

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Our article titeld : "Decision Making in Managing the Choice of UAV Threat Detection Systems in the Protection of Critical Infrastructure Facilities" is now available on the IEEE platform. Please, check the link below ⬇️ https://lnkd.in/eDGj_QYp

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#article_introduce Title: An approximate algorithm for maximizing modularity by estimating the domain of influence Author: #Seyfollah_Soleimani #Rouhollah_Javadpour_Boroujeni Journal: #Computational_Intelligence_in_Electrical_Engineering Publisher: #University_of_Isfahan Keywords: #Approximate_algorithm #Community_detection #Reverse_Influence_Sampling_RIS_Framework #Social_networks #Influential_nodes #Modularity Access link: https://lnkd.in/gTPC_-vC

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100+ Citations for One of Our Published Papers The paper titled “Semiconductor technologies for 5G implementation at millimeter wave frequencies – Design challenges and current state of work,” which we published in 2021, has crossed 100 citations on Google Scholar (83 on Scopus). In this paper, we discussed in detail how evolving semiconductor technologies are contributing toward employing underutilized millimeter wave (mmW) frequencies for 5G cellular network implementation. Anybody who is working in the area of hardware design for future cellular network implementation will find this paper useful. The paper has been co-authored by Dr. RAJNISH SHARMA and Dr. Rajendra Pratap, Ph.D., under whom I completed my PhD at Chitkara University. It was published by Elsevier in the journal entitled ‘Engineering Science and Technology, an International Journal’ - https://lnkd.in/gkMcNbF9 #ChitkaraU #Elsevier #Research #semiconductor #5G Chitkara University Publications Chitkara University

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🚀 Exciting News in IoT Security! 🌐🔒 Join us in congratulating our PhD student Moemedi Lefoane on the publication of their latest research article titled "Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection" in the IEEE Open Journal of the Communications Society !  This latest research tackles the rising threat of IoT botnet attacks, which have caused billions in losses. 💥📉 This paper introduces a cutting-edge two-phase detection system: 1️⃣ Detects malicious IoT traffic with advanced models. 2️⃣ Analyses this traffic to identify attack campaigns using Latent Semantic Analysis (LSA) and graph theory. Join us in celebrating this leap forward in securing our digital world! 🌟🔐 Faculty of Engineering and Digital Technologies, University of Bradford #IoTSecurity #Cybersecurity #Innovation #SmartTech #DigitalTransformation An early access version of this article can be accessed at https://lnkd.in/eYThjUVt

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A new lecture in the Course: "Introduction to Quantum Computing", has been published: https://lnkd.in/dAbjGRHk Lecture 14: The CHSH Game In this lecture we introduce nonlocal games, and in particular the CHSH game. It is one of the Bell tests that show the proper difference between quantum information and the counterpart classical realm. We game protocol is defined and we show that any classical strategy has at most 75% of winning. However, by going quantum, particularly, sharing and entanglement-bit between Alice and Bob, an 85% chance of winning is achieved. The instruction language is Arabic, however, all the material, slides, examples, definitions, concepts, etc., are all given in English.

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