Results 151 to 160 of about 779,800 (277)

Intelligent identification method for drilling conditions based on artificial neural networks. [PDF]

Sci Rep
Li W, Yang Y, Fan D, Zhou Y.
europepmc   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Interpreting artificial neural networks to detect genome-wide association signals for complex traits. [PDF]

NAR Genom Bioinform
Yelmen B, Alver M, Güler MN, Estonian Biobank Research Team, Jay F, Milani L.   +5 more
europepmc   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Artificial neural networks fighting real neural decline: a systematic review of AI in Alzheimer's research. [PDF]

Artif Intell Rev
Mou FS, Ahmed T, Huda MN, Nandi AK.
europepmc   +1 more source

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke, Moses Kumi, Xiaoming Tao, Junhong Pu   +3 more
wiley   +1 more source

Pseudo datasets estimate feature attribution in artificial neural networks. [PDF]

Sci Rep
Yang HY, Chen YH, Cheng HM, Guo CY.
europepmc   +1 more source

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

Investigating action topography in visual cortex and deep artificial neural networks. [PDF]

Nat Commun
Cortinovis D, Truong N, Op de Beeck H, Bracci S.   +3 more
europepmc   +1 more source