Reduced Rule Set Fuzzy-PID Control of a Power Plant
, 2000 Raul Garduno-Ramirez, Kwang Y. Lee
openalex +1 more source
Local p‐ and n‐Type Doping of an Oxide Semiconductor via Electric‐Field‐Driven Defect Migration
Advanced Science, EarlyView.Local acceptor and donor doping is achieved in a semiconducting oxide by controlled splitting of oxygen interstitial‐vacancy pairs under applied d.c. voltage. The separated oxygen defects are demonstrated to form interstitial‐rich (p‐type) and vacancy‐rich (n‐type) regions, comparable to dipolar npn‐junctions, enabling transient functionalization ...
Jiali He +14 more
wiley +1 more source
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Advanced Science, EarlyView.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
Retraction Note: Time-series data prediction problem analysis through multilayered intuitionistic fuzzy sets. [PDF]
Soft computDwivedi AK +5 more
europepmc +1 more source
Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition
Advanced Science, EarlyView.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
Selection of third-party logistics in supply chain finance under probabilistic complex hesitant fuzzy sets and distance measures. [PDF]
HeliyonAbosuliman SS +3 more
europepmc +1 more source
Advanced Science, EarlyView.A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
Applying hesitant q-rung orthopair fuzzy sets to evaluate uncertainty in subsidence causes factors. [PDF]
HeliyonGhoushchi SJ, Vahabzadeh S, Pamucar D.
europepmc +1 more source
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