Results 141 to 150 of about 56,254 (265)
The coefficient of friction in Parkinson's disease gait. [PDF]
Kleiner A +6 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
The Comparison of the Multi-Layer Artificial Neural Network Training Methods in Terms of the Predictive Quality of the Coefficient of Friction of 1.0338 (DC04) Steel Sheet. [PDF]
Trzepieciński T.
europepmc +1 more source
Coefficient of friction testing parameters influence the prediction of human slips. [PDF]
Iraqi A +3 more
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
Measuring the Coefficient of Friction of a Small Floating Liquid Marble. [PDF]
Ooi CH +4 more
europepmc +1 more source
An adhesive hydrogel depot with polyphenol‐armored nanogenes is developed for treating aged osteoarthritis. This system maintains miR‐140 bioactivity, prolongs its intra‐articular retention, and enhances transfection into chondrocytes, leading to the downregulation of senescence‐associated pathways.
Liwei Yan +10 more
wiley +1 more source
Predicting slips based on the STM 603 whole-footwear tribometer under different coefficient of friction testing conditions. [PDF]
Beschorner KE +4 more
europepmc +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Coefficient of Friction at the Fingertips in Type II Diabetics Compared to Healthy Adults. [PDF]
Thames BH, Gorniak SL.
europepmc +1 more source

