Results 201 to 210 of about 53,606 (313)
0119 Explainable AI for skin cancer detection using convolutional neural networks(CNNs) with SE and grad-CAM [PDF]
Balu Kamaraj +7 more
openalex +1 more source
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
Pioneering efficient deep learning architectures for enhanced hepatocellular carcinoma prediction and clinical translation. [PDF]
Akbulut S, Colak C.
europepmc +1 more source
Improving Visible Light Positioning Accuracy Using Particle Swarm Optimization (PSO) for Deep Learning Hyperparameter Updating in Received Signal Strength (RSS)-Based Convolutional Neural Network (CNN) [PDF]
Chun-Ming Chang +2 more
openalex +1 more source
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
Improved one-dimensional residual network high-voltage DC diagnosis for high-precision fault identification. [PDF]
Li R, Zhang X, Hao W, Wang T.
europepmc +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source

