PROJECT TITLE : Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction ABSTRACT: We propose a novel statistical approach, which we call Statistically Discriminative Sub-trajectory Mining
PROJECT TITLE : Fast Multi-Criteria Service Selection for Multi-User Composite Applications ABSTRACT: Paradigms such as Software as a Service (SaaS) and Service-Based Systems (SBSs), which are becoming more prevalent as cloud
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated
PROJECT TITLE : Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images Techniques and Clinical Applications ABSTRACT: Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous
PROJECT TITLE : Semisupervised Multiple Choice Learning for Ensemble Classification ABSTRACT: Due to the fact that it is so effective at enhancing the predictive performance of classification models, ensemble learning has a wide