SmartBot, EarlyView.This article reviews the application of fiber Bragg grating (FBG) technology for precise force sensing in minimally invasive surgery. It outlines the fundamental working principles and algorithms used to interpret sensor data. The text surveys clinical applications across various medical fields, such as ophthalmology and vascular intervention (Table of
Shiyuan Dong +9 more
wiley +1 more source
Depth estimation of inner wall defects by means of infrared thermography [PDF]
, 2009 There two common methods dealing with interpreting data from infrared thermography: qualitatively and quantitatively. On a certain condition, the first method would be sufficient, but for an accurate interpretation, one should undergo the second one ...
Mohd. Mokji, Musa +1 more
core
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Retracted: Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Deep Reinforcement Learning for Swarm Systems
, 2019 Recently, deep reinforcement learning (RL) methods have been applied successfully to multi-agent scenarios. Typically, these methods rely on a concatenation of agent states to represent the information content required for decentralized decision making ...
Hüttenrauch, Maximilian +2 more
core
AN IMPLEMENTATION OF FLEXIBLE RBF NEURAL NETWORKS
, 2009 Tese de mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências ...
openaire +2 more sources
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Retracted: Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution
High Voltage, EarlyView.ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu +8 more
wiley +1 more source
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. [PDF]
Front Neuroinform, 2022 Liu H, Zhou G, Zhou Y, Huang H, Wei X.
europepmc +1 more source