Abstract: Excellent performance in supervised learning-based radar signal modulation recognition (RSMR) techniques relies on the quantity and quality of labeled datasets, while the high cost and ...
See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
By Joseph MondayMaximus Monaheng Sefotho is a South African academic whose work spans educational psychology, disability studies, inclusive education, and career development. Born in Maseru, Lesotho, ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Small-Sample Recognition of Work Modes in Multifunctional Radar: A Semi-Supervised Learning Approach
Abstract: Work mode recognition of Multifunctional Radar is crucial in the context electromagnetic environments Perception. Traditional approaches face significant challenges due to limited sample ...
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