A5098907775- Handwritten Text Recognition Techniques
- Blockchain Technology Applications and Security
- Hand Gesture Recognition Systems
- Software-Defined Networks and 5G
- Hearing Impairment and Communication
- Advanced Neural Network Applications
- FinTech, Crowdfunding, Digital Finance
- Caching and Content Delivery
- Smart Grid Security and Resilience
- Industrial Vision Systems and Defect Detection
- AI in cancer detection
- Artificial Intelligence in Healthcare
- IoT and Edge/Fog Computing
- Advanced Data and IoT Technologies
- Speech and dialogue systems
- Radiomics and Machine Learning in Medical Imaging
- Sleep and Work-Related Fatigue
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Fire Detection and Safety Systems
- Ergonomics and Musculoskeletal Disorders
Mohamed I University
2024-2025
In an era where the demand for efficient and practical machine learning (ML) solutions on resource-constrained devices is evergrowing, realm of tiny (TinyML) emerges as a promising frontier. Motivated by need lightweight, low-power models that can be deployed edge devices, this research paper presents innovative TinyML model tailored to recognize Arabic hand gestures executed in mid-air. With primary emphasis precise classification numbers through these expressive movements, unveils...
Drowsy driving poses a significant challenge to road safety worldwide, contributing thousands of accidents and fatalities annually. Despite advancements in driver drowsiness detection (DDD) systems, many existing methods face limitations such as intrusiveness delayed reaction times. This research addresses these gaps by leveraging facial analysis state-of-the-art machine learning techniques develop real-time, non-intrusive DDD system. A distinctive aspect this is its systematic assessment...
Large Language Models (LLMs), like GPT and BERT, have significantly advanced Natural Processing (NLP), enabling high performance on complex tasks. However, their size computational needs make LLMs unsuitable for deployment resource-constrained devices, where efficiency, speed, low power consumption are critical. Tiny (TLMs), also known as BabyLMs, offer compact alternatives by using compression optimization techniques to function effectively devices such smartphones, Internet of Things (IoT)...
<title>Abstract</title> Mask detection has emerged as an essential technology for ensuring safety and compliance in both public private settings. This paper presents end-to-end application utilizing Vision Wake Words (VWW) within the realm of Tiny Machine Learning (TinyML) to detect mask adherence real-time. Capitalizing on efficient MobileNetV2 architecture with Depthwise Separable Convolutions, our model minimizes memory foot- print computational demands Microcontroller Units (MCUs). We...
The application of tiny machine learning (TinyML) in human-computer interaction is revolutionizing gesture recognition technologies. However, there remains a significant gap the literature regarding effective complex scripts, such as Arabic, real-time applications. This research aims to bridge this by leveraging TinyML for accurate Arabic numbers and simple letters through gesture-based air handwriting. For first time, we introduce novel deep (TinyDL) model that utilizes lightweight...
Software-Defined Networking (SDN) has revolutionized network management by providing unprecedented flexibility, control, and efficiency. However, its centralized architecture introduces critical security vulnerabilities. This paper a novel approach to securing SDN environments using IOTA 2.0 smart contracts. The proposed system utilizes the Tangle, directed acyclic graph (DAG) structure, improve scalability efficiency while eliminating transaction fees reducing energy consumption. We...
Software-Defined Networking (SDN) has revolutionized network management by providing unprecedented flexibility, control, and efficiency. However, its centralized architecture introduces critical security vulnerabilities. This paper a novel approach to securing SDN environments using IOTA 2.0 smart contracts. The proposed system utilizes the Tangle, directed acyclic graph (DAG) structure, improve scalability efficiency while eliminating transaction fees reducing energy consumption. We...
Morocco's Vision 2030, known as Maroc Digital aims to position the country a regional leader in digital technology by boosting infrastructure, fostering innovation, and advancing skills. Complementing this initiative, Pacte ESRI 2030 strategy, launched 2023, seeks transform higher education, research, innovation sectors integrating state-of-the-art technologies. In alignment with these national strategies, paper introduces BlockMEDC, blockchain-based system for securing managing Moroccan...
Software-Defined Networking (SDN) has revolutionized network management by providing unprecedented flexibility, control, and efficiency. However, its centralized architecture introduces critical security vulnerabilities. This paper presents an innovative approach to securing SDN environments using IOTA 2.0 smart contracts. The proposed system leverages the Tangle, a directed acyclic graph (DAG) structure, enhance scalability efficiency while eliminating transaction fees reducing energy...