Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis. [PDF]
Shahariar Parvez AHM +7 more
europepmc +1 more source
Optimization of Magnetic Milli‐Spinner for Robotic Endovascular Intervention
This work presents the design optimization of a multifunctional magnetic milli‐spinner for high‐speed propulsion and efficient clot debulking. The optimized design achieves an ultrafast swimming velocity of 55 cm/s (≈175 body lengths/s) in saline water, enabling stable upstream swimming against strong physiological flows and establishing magnetic milli‐
Lu Lu +3 more
wiley +1 more source
Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc +1 more source
Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod +14 more
wiley +1 more source
BloodImage: Benchmarking vision transformers for blast detection in digital blood films using public and clinical datasets. [PDF]
Piazzese C +10 more
europepmc +1 more source
Comparison of Vision Transformer and ResNet under Federated Learning in Human Action Recognition [PDF]
Yicheng Li
openalex +1 more source
This study explores the use of N, S co‐doped carbon quantum dots (NS‐CQDs) as carriers for riboflavin, creating NS‐CQDs‐RF composite photosensitizers. These composites improve riboflavin absorption, enhance ROS generation efficiency, and preserve corneal epithelium integrity.
Tinghong Xu +9 more
wiley +1 more source
Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers. [PDF]
Mwaibale U, Mduma N, Laizer H, Mgawe B.
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source

