Results 191 to 200 of about 2,694,275 (323)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

An incentive-aware federated bargaining approach for client selection in decentralized federated learning for IoT smart homes. [PDF]

Sci Rep
L JV.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
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, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Noninvasive Acoustic Recognition of Water Flow Sources for Human Activity Monitoring in Smart Homes. [PDF]

Sensors (Basel)
Comai S, Cortinovis M, Girelli R, Salice F.   +3 more
europepmc   +1 more source

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung, Heeju Mun, Seyed Farokh Atashzar, Ki‐Uk Kyung   +3 more
wiley   +1 more source

Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes. [PDF]

Sci Rep
Lu Y, Xu S, Liu Y, Jiang X.
europepmc   +1 more source

sMRT: Multi-Resident Tracking in Smart Homes With Sensor Vectorization. [PDF]

IEEE Trans Pattern Anal Mach Intell, 2021
Wang T, Cook DJ.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques. [PDF]

Sci Rep
Saroha P, Singh G, Lilhore UK, Simaiya S, Khan M, Alroobaea R, Alsafyani M, Alsufyani H.   +7 more
europepmc   +1 more source

Dietary Nutritional Information Autonomous Perception Method Based on Machine Vision in Smart Homes. [PDF]

Entropy (Basel), 2022
Li H, Yang G.
europepmc   +1 more source