Smart Applications and Data Analysis

AI-Driven Methods 1.- Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering.- Automatic SPECT Image Processing For Parkinson's Disease Early Detection.- Graph Convolution Networks For Unsupervised Learning.- Collaborative kernel discriminant analysis for large-scale multi class problems.- Spectral clustering based on a graph model for airspace sectorization.- Networking technologies & IoT.- Solar charging station for electric vehicles with IoT solution for monitoring energy production.- Low-cost smart irrigation system based on Internet of Things and fuzzy logic.- AI-Driven Methods 2.- autoTimeSVD++: A temporal Hybrid Recommender System based on Contractive Autoencoder and Matrix Factorization.- Toward a Holistic Public Procurement 4.0. Case study: Moroccan Public Procurement.- Classifiers-Based Personality Disorders Detection.- Green Energy, Computing and Technologies 1.- Investigationof Di erent Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor.- Performing Energy-E cient Motions for Wheeled Mobile Robots by Designing an Orientation Controller.- Study of path optimization of an electric vehicle: Morocco.- AI-Driven Methods 3.- Scalable meta-bayesian based hyperparameters optimization for machine learning.- A Novel Graded Multi-label Approach to Music Emotion Recognition.- Data-driven solutions for electricity price forecasting: The case of EU Improvement Project.- Determination of the probability of factors occurrence impacting warehouse planning by Bayesian networks.- Green Energy, Computing and Technologies 2.- Smart Grid Production Cost Optimization by Bellman Algorithm.- Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC) For PV Application.- Statistical analysis of PV-Wind-Battery hybrid system energy e ciency for green buildings power