Results 31 to 40 of about 331,702 (295)
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
Advanced Science, EarlyView.In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Hinst: Human‐Like Interactive Instinct Enables Robots to Robustly Accomplish Universal Tasks
Advanced Science, EarlyView.Aiming at current robot limitations of poor flexibility, poor practicality, and poor universality in task accomplishment, the authors report a human‐like interactive instinct (Hinst) and an anthropomorphic robotic system architecture. The Hinst greatly enhances the efficiency and the success rate of robotic manipulation, skill learning, and task ...
Zijian Liao +4 more
wiley +1 more source
Virtual Reality Games for Motor Rehabilitation [PDF]
, 2006 This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a ...
Charles, D. +3 more
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Advanced Science, EarlyView.DNA‐based hydrogels serve dual roles as structural scaffolds and therapeutic platforms, offering innovative solutions for musculoskeletal regeneration with multifunctional abilities. Abstract Musculoskeletal disorders, including bone fractures, osteoarthritis, and muscle injuries, represent a leading cause of global disability, revealing the urgency ...
Ruijianghan Shi +4 more
wiley +1 more source
Stabilizing Interfaces of All‐Ceramic Composite Cathodes for Li‐Garnet Batteries
Advanced Energy Materials, EarlyView.A novel co‐firing approach enables dense, secondary‐phase‐free LiCoO₂–Li₇La₃Zr₂O₁₂ composite cathodes under high lithium and oxygen partial pressures. This strategy reduces interfacial resistance by orders of magnitude and delivers a record areal capacity of 3.48 mAh cm⁻², advancing the development of oxide‐based all‐solid‐state lithium metal batteries.
Steffen Weinmann +8 more
wiley +1 more source
Simulation of speed control brushless DC motor using gaussian fuzzy logic controller [PDF]
, 2014 This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors.
Abd Karim, Nurliana
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Mathware & soft computing, 1996 Lukasiewicz quantum logic (LQL) is a particular example of a fuzzy quantum logic. LQL is semantically characterized by the class of all quantum MV algebras. The standard quantum MV algebra is based on the set of all effects in a Hilbert space. From the physical point of view, effects represent physical properties that may be noisy and ambiguous.
DALLA CHIARA ML, GIUNTINI, ROBERTO
openaire +4 more sources
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced Energy and Sustainability Research, EarlyView.Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
wiley +1 more source
Integrated and adaptive traffic signal control for diamond interchange : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Mechatronics Engineering at Massey University, Albany, New Zealand [PDF]
, 2017 New dynamic signal control methods such as fuzzy logic and artificial intelligence developed recently mainly focused on isolated intersection. Adaptive signal control based on fuzzy logic control (FLC) determines the duration and sequence that traffic ...
Pham, Cao Van
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In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source