Results 101 to 110 of about 613,158 (317)
Advanced Science, EarlyView.The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen +18 more
wiley +1 more source
IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text [PDF]
, 2020 Arup Baruah +3 more
openalex +1 more source
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
Advanced Science, EarlyView.AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley +1 more source
Real-time transient stability assessment in power system based on improved SVM
Journal of Modern Power Systems and Clean Energy, 2018 Due to the strict requirements of extremely high accuracy and fast computational speed, real-time transient stability assessment (TSA) has always been a tough problem in power system analysis.
Wei Hu +6 more
semanticscholar +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
Benchmarking least squares support vector machine classifiers. [PDF]
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Baesens, Bart +7 more
core
Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM [PDF]
, 2022 Junqi Zhu +6 more
openalex +1 more source
Advanced Science, EarlyView.This study introduces a miniaturized wireless neural recording system integrated with custom‐designed 120‐channel µECoG arrays, engineered for monitoring brain activities in freely behaving marmosets. The system can capture and characterize behavior‐specific neural signals, including drinking‐related activation, pre‐vocalization anticipatory responses,
Hongru Liu +22 more
wiley +1 more source
Advanced Science, EarlyView.Thinned and welded silver nanowires are prepared by selectively engineering their morphology and structure. The resulting films show enhanced optical, electrical, thermal, and mechanical properties. By incorporating machine learning, the developed pressure and humidity sensors are able to accurately identify finger pressing behaviors, monitor human ...
Jiajun Fan +14 more
wiley +1 more source
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors [PDF]
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Bioch, J.C. +2 more
core +1 more source