Results 171 to 180 of about 134,020 (300)
Deep learning for medical image analysis /
"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts ...
Zhou, S. Kevin,editor. +2 more
core
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Applications of artificial intelligence in chronic kidney disease: a systematic review. [PDF]
Bittencourt JAS +9 more
europepmc +1 more source
XeraBorg: Neural Control of Tail‐Flick Escape for Backward Propulsion in Cyborg Crayfish
This work presents the first controlled tail‐flick propulsion method for the cyborg Cherax quadricarinatus. Comprehensive experiments establish a foundational framework for using the crayfish's natural escape mechanism as a locomotion strategy, expanding its potential as an underwater and amphibious mobile robot.
H. Nhan Le +7 more
wiley +1 more source
Applications of artificial intelligence in traditional Chinese medicine tongue diagnosis: a bibliometric review of research trends and hotspots, 2015-2026. [PDF]
Li Y +7 more
europepmc +1 more source
Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
Noor Hazirah Hassan +1 more
openaire +1 more source
Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor +4 more
wiley +1 more source
Machine Learning and Deep Learning for Earthquake Monitoring: A Systematic Review of Distributed Acoustic Sensing Applications. [PDF]
Iqbal N +4 more
europepmc +1 more source

