Results 151 to 160 of about 554,243 (265)

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Artificial intelligence assisted simulation and surgical video analytics for ophthalmic surgery training and competence development. [PDF]

Front Med (Lausanne)
Zhao M, Li J, Li S, Liu J, Jiang Y, Lai X, Yang J, Pang L, Tang L, Li K, Jiang L.   +10 more
europepmc   +1 more source

Correction to: Pattern Recognition and Computer Vision [PDF]

, 2021
Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao   +7 more
openaire   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

Artificial Intelligence-Enabled Intelligent Sensory Systems for Quality Evaluation of Traditional Chinese Medicine: A Review of Electronic Nose, Electronic Tongue, and Machine Vision Approaches. [PDF]

Molecules
Shi J, Wu J, Xu L, Tang C, Zhang Y.
europepmc   +1 more source

Microstructured Electrode‐Piezopolymer Interface for Ultrasound Transducers With Enhanced Flexibility and Acoustic Performance

Advanced Materials Technologies, EarlyView.
Flexible piezopolymer ultrasound transducers are engineered by tailoring the electrode–piezopolymer interface using metallic, flake‐based, and porous graphene electrodes. Laser‐induced graphene's porous structure enables polymer infiltration, strengthening interfacial coupling and enhancing piezoelectric response and acoustic output.
Spencer Hagen, Dulcce A. Valenzuela, Parag V. Chitnis, Shirin Movaghgharnezhad   +3 more
wiley   +1 more source

Wheat spikelet detection on RGB images using deep machine learning. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Genaev MA, Busov ID, Kruchinina YV, Kova VS, Goncharov NP.   +4 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Vision-Language Models in Medical Imaging for Cancer Diagnosis: A Bibliometric Review. [PDF]

Bioengineering (Basel)
Wakili MA, Suleiman AB, Majikumna KU, Shehu HA, Kusetogullari H, Sharif MH.   +5 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source