Results 51 to 60 of about 190,933 (296)
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Solving Fuzzy Linear System by Fuzzy Neural Network and Applications in Economics
Journal of Mathematical Extension, 2011 In this paper, a novel hybrid method based on fuzzy neural network for estimate fuzzy coefficients (parameters) of fuzzy linear supply and demand function, is presented.
M. Otadi, M. Mosleh, S. Abbasbandy
doaj
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 +2 more
wiley +1 more source
Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter
IEEE Access, 2020 An adaptive backstepping fuzzy neural network (FNN) controller using a fuzzy sliding mode controller is designed to suppress the harmonics and improve the performance of a shunt active power filter (APF).
Yunmei Fang, Juntao Fei, Tengteng Wang
doaj +1 more source
Medical analysis and diagnosis by neural networks [PDF]
, 2010 In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background.
Brause, Rüdiger W.
core
GFAM: Evolving Fuzzy ARTMAP neural networks [PDF]
Neural Networks, 2007 This paper focuses on the evolution of Fuzzy ARTMAP neural network classifiers, using genetic algorithms, with the objective of improving generalization performance (classification accuracy of the ART network on unseen test data) and alleviating the ART category proliferation problem (the problem of creating more than necessary ART network categories ...
Al-Daraiseh, Ahmad +5 more
openaire +3 more sources
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 +4 more
wiley +1 more source
APLIKASI WEB UNTUK METODE FUZZY NEURAL NETWORK PADA INTRUSION DETECTION SYSTEM BERBASIS SNORT [PDF]
, 2011 Mencocokan pola atau signature adalah metode yang paling umum untuk mendeteksi serangan dan ini berarti IDS harus mampu mengenali setiap teknik serangan.
Feriana Istining Tiyas, Feriana
core
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
Advanced Robotics Research, EarlyView.The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source
Logic-Enhanced Adaptive Network-Based Fuzzy Classifier for Fall Recognition in Rehabilitation
IEEE Access, 2020 Currently, the most widely adopted fall prediction methods use kinematic sensors for data collection and set thresholds to identify a fall based on artificial experience or neural network learning algorithms.
Xueshan Gao, Tao Yang, Jinmin Peng
doaj +1 more source