Results 71 to 80 of about 80,215 (302)

Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling

open access: yesAdvanced Science, EarlyView.
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang   +7 more
wiley   +1 more source

Research on Classroom Teaching Quality Evaluation of Chinese International Education in Higher-Education Institutions Based on EDAS Method and Euclidean Distance

open access: yesJournal of Mathematics
In the classroom teaching of Chinese international education (CIE), teachers will face different types of problems. Teachers should focus on each teaching link, identify key and difficult points, teach students in line with their aptitude, and emphasize ...
Wei Li, Jia Song, Gangling Liu
doaj   +1 more source

Multimodal estimation of distribution algorithms [PDF]

open access: yes, 2016
Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for crowding and speciation, two versions of this algorithm are developed ...
Chen, C. L. Philip   +5 more
core   +2 more sources

Sistem Pendukung Keputusan Penulis Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Evaluation based on Distance from Average Solution (EDAS)

open access: yesJournal of Information System Research (JOSH), 2022
CV Jejak Publisher is a publishing company who has actively held writing competitions. However, there is a problem that occurs in the assessment process that has been running.
Putri Mandarani   +3 more
semanticscholar   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

open access: yesAdvanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang   +7 more
wiley   +1 more source

The Potential Mechanism Behind Native and Therapeutic Collaterals in Moyamoya

open access: yesFrontiers in Neurology, 2022
Background and PurposeTo explore the genetic basis and molecular mechanism of native arteriogenesis and therapeutic synangiosis in moyamoya disease (MMD).MethodsAn angiography-based study using patients from a prospective trial of ...
Xiang-Yang Bao   +11 more
doaj   +1 more source

Bayesian Inference in Estimation of Distribution Algorithms [PDF]

open access: yes, 2007
Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimization problems.
Gallagher, Marcus   +3 more
core   +3 more sources

Novel EDA mutations cause X-linked hypohidrotic ectodermal dysplasia: the first study from Venezuela [PDF]

open access: green, 2023
Francisco Cammarata‐Scalisi   +10 more
openalex   +1 more source

EDAS Method for Multi-Criteria Group Decision Making Based on Intuitionistic Fuzzy Rough Aggregation Operators

open access: yesIEEE Access, 2021
The primitive notions of rough sets and intuitionistic fuzzy set (IFS) are general mathematical tools having the ability to handle the uncertain and imprecise knowledge easily.
R. Chinram   +3 more
semanticscholar   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy