Abstract: Traffic congestion in semiurban areas presents unique challenges due to limited road capacity, growing vehicle volumes, school zone peak demand, and environmental disruptions such as flooding. Traditional fixed-time traffic control systems often fail to adapt to dynamic traffic conditions, leading to prolonged delays, safety risks, and reduced mobility efficiency. … [Read more...] about Rethinking traffic congestion in semiurban areas: Artificial intelligence and Internet of Things solutions for school zones and floods
Machine learning
Smart assisted living: A data-centric and machine learning approach to intelligent home systems
Abstract: The evolution of smart homes is marked as one of the most profound integrations of artificial intelligence (AI) into everyday life. Novelty gadgets or remote-controlled devices no longer define modern intelligent living spaces; instead, they are recognized as cognitive ecosystems capable of perceiving environmental and behavioral cues; learning from routine patterns; … [Read more...] about Smart assisted living: A data-centric and machine learning approach to intelligent home systems