Results 231 to 240 of about 422,144 (319)

From microfluidics to nanodelivery: artificial intelligence reshapes neuropharmacology research strategies. [PDF]

Front Pharmacol
Chen C, Du X, Yang J, Zeng Y, Xie H, Wang D, Qi P, Zeng Y.   +7 more
europepmc   +1 more source

Ultrasound Activated Piezoelectric Dural Patches to Drive Endogenous Neural Stem Cell–Mediated Repair Traumatic Brain Injury

Advanced Science, EarlyView.
This study presents a wireless, non‐invasive strategy for neural repair by developing a biodegradable piezoelectric dural patch that, under transcranial ultrasound, generates localized electrical fields to drive endogenous neural stem cells toward neuronal differentiation and functional integration.
Pengbo Zhou, Qingyuan Wu, Yang Wu, Runzhe Huang, Wei Li, Hanjie Niu, Hongtao Sun, Huiyu Liu   +7 more
wiley   +1 more source

AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery-systematic review. [PDF]

Front Artif Intell
Marín Vásquez ME, Blandón Andrade JC, Toro Lazo A, López Sotelo JA.   +3 more
europepmc   +1 more source

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

Advanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

A Comparative Analysis of Deep Convolutional Networks for Automated Diagnosis of Retinal Detachment in Dogs. [PDF]

Vet Ophthalmol
Okur S, Baykal B, Akçora Y, Modoğlu E, Kibar B, İlgün M, Eren E, Yanmaz LE.   +7 more
europepmc   +1 more source

Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste [PDF]

Rasikh Tariq, Mohamed Abatal, Joel Vargas, Alma Yolanda Vázquez-Sánchez   +3 more
openalex   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source