Results 191 to 200 of about 129,201 (249)

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking

Advanced Intelligent Systems, EarlyView.
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

Utilizing deep learning models for early detection and classification of fruit diseases: towards sustainable agriculture and enhanced food quality. [PDF]

Sci Rep
Alrashdi I, Sharawi M, Ali AM, Sallam KM, Arain B, Abdel-Basset M.   +5 more
europepmc   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, EarlyView.
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, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Da Ye Kim, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
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, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]

Sci Rep
Liu J, Ahmad FA, Samsudin K, Hashim F, Kadir MZAA.   +4 more
europepmc   +1 more source

Development of a preoperative prediction model for neoplastic polyps of the gallbladder based on a convolutional neural network model using ultrasonic images. [PDF]

Transl Gastroenterol Hepatol
Zhu Y, Lu Y, Zeng Q, Wang P, Cheng M, Wu S, Mo Y, Wang Y, Zhu Z, Zhang Y, Ren Y, Zhang Y.   +11 more
europepmc   +1 more source

Identification of Micrometastasis in Cervical Lymph Nodes - A Machine Learning-Based Approach. [PDF]

Int Dent J
Mondal K, Sv S, Augustine D, Karthikeyan BR, Venkataiah VS, Patil S.   +5 more
europepmc   +1 more source