Results 141 to 150 of about 19,047 (251)
Noninvasive Acoustic Recognition of Water Flow Sources for Human Activity Monitoring in Smart Homes. [PDF]
Comai S +3 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes. [PDF]
Lu Y, Xu S, Liu Y, Jiang X.
europepmc +1 more source
sMRT: Multi-Resident Tracking in Smart Homes With Sensor Vectorization. [PDF]
Wang T, Cook DJ.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Empowering People with Disabilities in Smart Homes Using Predictive Informing. [PDF]
Periša M +3 more
europepmc +1 more source
Dietary Nutritional Information Autonomous Perception Method Based on Machine Vision in Smart Homes. [PDF]
Li H, Yang G.
europepmc +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques. [PDF]
Saroha P +7 more
europepmc +1 more source
Two-stage RFID approach for localizing objects in smart homes based on gradient boosted decision trees with under- and over-sampling. [PDF]
Abudalfa S, Bouchard K.
europepmc +1 more source

