As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand ...
Abstract: In emergency rescue scenarios, air-to-ground (A2G) integrated mobile ad hoc networks (MANETs) face challenges such as dynamic topology, limited resources, and unstable communication ...
The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...
Abstract: This paper examines Decision Tree Classifier (DTC) Machine Learning (ML) algorithms that are constructed using node-splitting techniques, including variance-related measures, Statistical ...
Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
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