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Showing 1-30 of 245 projects
Cette Ă©tude prĂ©sente la conception et lâĂ©valuation dâun systĂšme intelligent de dĂ©tection et de rĂ©duction des pertes Ă©nergĂ©tiques dans les micro-rĂ©s...
This work presents a real-time detection and classification framework for rare events in video streams, leveraging quantized neural networks (QNNs) and hardware...
This study presents the design, development, and evaluation of an advanced musical recommendation system that leverages emotion analysis from audio signals and ...
Ce travail propose un systĂšme intelligent de diagnostic prĂ©coce des maladies Ă partir dâimages mĂ©dicales multimodales, intĂ©grant lâapprentissage fĂ©dĂ©...
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Ce travail prĂ©sente le dĂ©veloppement dâun systĂšme de recommandation Ă©thique fondĂ© sur lâapprentissage fĂ©dĂ©rĂ© afin de protĂ©ger la vie privĂ©e des ut...
Ce travail propose une approche innovante dâoptimisation des rĂ©seaux de capteurs sans fil (WSN) en combinant lâapprentissage fĂ©dĂ©rĂ© et des mĂ©canismes d...
Ce travail prĂ©sente le dĂ©veloppement dâun systĂšme de recommandation multimodal conçu pour dĂ©tecter et prĂ©venir les fuites de donnĂ©es dans les environne...
This study presents a novel framework for early fault detection in urban electrical distribution networks by integrating federated learning (FL) and the Interne...
Le systĂšme proposĂ© vise Ă amĂ©liorer la dĂ©tection et la prĂ©vision des embouteillages urbains en combinant lâapprentissage fĂ©dĂ©rĂ© et lâanalyse de don...
Ce travail prĂ©sente une approche innovante dâoptimisation dâun systĂšme de recommandation mult critĂšre dĂ©ployĂ© sur des plateformes Ă©ducatives en ligne,...
Cette Ă©tude compare lâefficacitĂ© de diffĂ©rents algorithmes dâapprentissage profond pour la dĂ©tection des anomalies dans des ensembles de donnĂ©es multim...
Ce projet propose le dĂ©veloppement dâun systĂšme intelligent de réécriture musicale adaptative, sâappuyant sur lâintĂ©gration conjointe de rĂ©seaux de ...
L'optimisation des performances des réseaux neuraux profonds par quantification dynamique et compression distribuée propose une approche intégrée pour amél...
Ce travail prĂ©sente le dĂ©veloppement dâun systĂšme intĂ©grĂ© combinant lâapprentissage profond et des capteurs IoT pour la dĂ©tection prĂ©coce des maladie...
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Ce travail prĂ©sente le dĂ©veloppement dâun systĂšme intelligent capable de dĂ©tecter et de prĂ©dire les pannes dans les rĂ©seaux Ă©lectriques en sâappuyant...
La présente étude explore une approche innovante pour la détection et la prévision des comportements présynaptiques dans des réseaux de neurones à appren...
This study presents the design and deployment of an ethical recommendation system that leverages federated learning to protect sensitive user data within an ind...
Ce travail propose une approche dâoptimisation dâun systĂšme de transport intelligent pour les villes intelligentes, fondĂ©e sur lâapprentissage fĂ©dĂ©rĂ©...
Ce travail propose une approche dâoptimisation dâun systĂšme de dĂ©tection dâintrusion (IDS) pour les rĂ©seaux IoT industriels en sâappuyant sur lâapp...
This research focuses on the development of a mobile application aimed at promoting sustainable urban waste management practices among residents and municipal a...
This research focuses on the development of a mobile application designed to promote sustainable waste management in urban areas, addressing the increasing chal...
This research aims to develop a comprehensive mobile application dedicated to promoting sustainable waste management practices among households. With the increa...
This research explores the multifaceted impacts of artificial intelligence (AI) on the process of learning foreign languages within the school environment, aimi...
The transition towards renewable energy sources in France is a crucial step in addressing global climate change and achieving sustainable development goals, yet...
The rapid proliferation of emerging technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, blockchain, and smart i...
The rapid expansion of renewable energy projects across sub-Saharan Africa is driven by the continentâs urgent need to address energy security, reduce depende...
The rapid advancement of mobile technology has revolutionized language learning by providing accessible and interactive platforms that cater to diverse learner ...
This research focuses on developing an intelligent waste management application tailored for urban environments, aiming to optimize waste collection, reduce env...