Cognitive-semantic communication encodes task-relevant meaning rather than raw bits, improving 6G spectral efficiency and reducing latency, yet evidence remains fragmented across methods, evaluations, and deployments. This PRISMA-based review screens 782 records (2019-2025) from seven databases, retaining 73 studies organized into five method families: neural semantic codecs, KG-based pipelines, LLM-assisted codecs, cross-modal encoders, and semantic relays. We examine how goal-oriented semantics, knowledge graphs, and LLMs shape representation, compression, and task quality under rate and latency constraints across UAVs, NTNs, ISAC, Metaverse, and IoT. Reported gains include bandwidth reduc... More >

Falls are a major cause of injury, hospitalization, and loss of independence among older adults, spurring interest in visual intelligence-based automated fall detection for timely response and continuous monitoring. This article presents a systematic review of such systems, focusing on YOLO-based approaches. Following PRISMA guidelines, the review covers 2016–2025 literature, identifying 637 records and including 63 studies after screening. We examine datasets, preprocessing strategies, evaluation protocols, metrics, and hardware platforms, comparing reported accuracy, efficiency, and real-time feasibility across different designs. Evidence is strongest for YOLOv3 through YOLOv9, while evi... More >