A Self-Powered Double U-Finger MME Resonator Capable of Wirelessly Capturing Abnormal Message in Smart Grid Networks. [PDF]
Zheng X +10 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
From Pixel Understanding to Semantic Insight: Intelligent Detection in Sensor-Driven Perception Systems. [PDF]
Xie Q, Wu T, Yang F.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Fault Detection Approach of Cyclotron Ion Sources Based on KPCA-ISSA-SVM. [PDF]
Li Y +6 more
europepmc +1 more source
Stiffness‐Programmable Origami Robots With Tendon‐Driven Actuation via Multimaterial 3D Printing
Motion diversity is achieved in a tendon‐driven origami robot through programmable stiffness rather than modified actuation. Multimaterial 3D printing embeds soft creases, modular inserts redirect identical tendon inputs into distinct behaviors, and variable‐stiffness inserts enable real‐time switching.
Elisha Lerner, Jianguo Zhao
wiley +1 more source
Improving the distribution system capability by incorporating ZnO nanoparticles into high-density polyethylene cable materials. [PDF]
A Elsadd M +6 more
europepmc +1 more source
A Whole‐Head Finite Element Model for Electrical Neuromodulation via Visual Brain‐Machine Interfaces
A multimodal, personalized head model is presented that integrates the entire visual pathway with surrounding tissues to simulate electrical stimulation of the optic nerve. In vivo validation in humans and goats, plus systematic component‐elimination analysis, demonstrates the high accuracy of the comprehensive model.
Shengjian Lu +12 more
wiley +1 more source
Effectiveness of supervised machine learning models for electrical fault detection in solar PV systems. [PDF]
Khandeparkar V, Shreshtha, Ramu SK.
europepmc +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source

