Results 51 to 60 of about 80,218 (288)
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
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
Fuzzy linear fractional programming problem using the lexicography method
Introduction/purpose: In solving real-life fractional programming problems, uncertainty and hesitation are often encountered due to various uncontrollable factors.
Sivakumar Karthick +2 more
doaj +1 more source
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He +6 more
wiley +1 more source
Adaptive educational systems are essential for addressing the diverse learning needs of students by dynamically adjusting instructional content and user interfaces (UI) based on real-time performance. Traditional adaptive learning environments often rely
Christos Troussas +3 more
doaj +1 more source
Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang +3 more
wiley +1 more source
Tato bakalářská práce se zabývá vytvořením počítačové hry, ve které v aréně bojují roboti. Chování robotů definují uživatelé pomocí speciálního programovacího jazyka. Definice robotů a její zpracování je implementováno pomocí fuzzy logiky. Práce popisuje
Sasýn, Radek
core
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
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
Unfolding-based Improvements on Fuzzy Logic Programs
AbstractUnfolding is a semantics-preserving program transformation technique that consists in the expansion of subexpressions of a program using their own definitions. In this paper we define two unfolding-based transformation rules that extend the classical definition of the unfolding rule (for pure logic programs) to a fuzzy logic setting.
Jaime Penabad +2 more
openaire +2 more sources
Controlled oxidation of Ti3Al0.3Sn0.7C2 produces SnO2/TiO2–MAX nanocomposites with superior electrochemical performance. The SnHigh_Ox700 sample shows optimal stability, capacity (300 mAh g−1), and reversibility (99.2%). Its unique morphology ensures efficient charge transport and stress accommodation. In situ analyses reveal reversible SnO2 conversion/
Irene Ostroman +15 more
wiley +1 more source

