A Lightweight Frozen Multi-Convolution Dual-Branch Network for Efficient sEMG-Based Gesture Recognition. [PDF]
Wu S, Lv Z, Li Y, Fang C, You T, Gui J.
europepmc +1 more source
ABSTRACT Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground–background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly
Tianxu Yan +8 more
wiley +1 more source
Visualising backward information propagation in deep reinforcement learning from a variational data assimilation perspective. [PDF]
Wang KY.
europepmc +1 more source
Neural Network Repair With Shapley‐Guided Search
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du +4 more
wiley +1 more source
An enhanced bat algorithm based intelligent inspired architecture for resilient macroeconomic prediction. [PDF]
Mou S, Gan J, Yang Y, Lan Y, Rao C.
europepmc +1 more source
ABSTRACT Converter transformer vibration failures, primarily because of winding and core vibrations, severely impact the safe operation of high voltage direct current (HVDC) systems. These vibrations are influenced by voltage and current, and are transmitted through transformer oil and structural components to the tank. Current numerical models fail to
Peiyu Jiang, Fanghui Yin, Liming Wang
wiley +1 more source
Robust Trajectory Prediction for Mobile Robots via Minimum Error Entropy Criterion and Adaptive LSTM Networks. [PDF]
Xie D, Li Z, Zhang C, Wang C, Wei X.
europepmc +1 more source
Training convolutional neural networks with the Forward-Forward Algorithm. [PDF]
Scodellaro R +3 more
europepmc +1 more source
One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail +3 more
wiley +1 more source
Research on the sports training effect based on GABP neural network and artificial intelligence. [PDF]
Li L, Hao A.
europepmc +1 more source

