Results 131 to 140 of about 14,016 (281)

Numerical analysis of magnetohydrodynamics Casson nanofluid flow with activation energy, Hall current and thermal radiation. [PDF]

Sci Rep, 2023
Suresh Kumar Y, Hussain S, Raghunath K, Ali F, Guedri K, Eldin SM, Khan MI.   +6 more
europepmc   +1 more source

'LABLIB' - Everyman's Tool to Find Suitable Language Teaching Materials [PDF]

, 1992
Kari, Kimmo, Lindqvist, Pirkko
core   +2 more sources

The administrative window into the integrated DBMS [PDF]

A good office automation system manned by a team of facilitators seeking opportunities to serve end users could go a long way toward defining a DBMS that serves management.
Brock, G. H.
core   +1 more source

Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter

Advanced Intelligent Systems, EarlyView.
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song, Yonguk Sim, Doo Seok Jeong   +2 more
wiley   +1 more source

Enabling decision-making and innovation in learning health systems through simulation modelling. [PDF]

Healthc Manage Forum
Lessard L, Sauré A.
europepmc   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3 YCl6−x Brx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

The peak shifting electricity consumption management and influencing factors of smart grid from recurrent neural network model and deep learning. [PDF]

Sci Rep
Wang F, Huang D, Lu W.
europepmc   +1 more source

The varied careers of Kenneth L. Bowles. [PDF]

Proc Natl Acad Sci U S A, 2018
Morgan MG, Overgaard M, Bowles AE.
europepmc   +1 more source

A comparative study of national variations of the European WEEE directive: manufacturer's view. [PDF]

Environ Sci Pollut Res Int, 2022
Andersen T.
europepmc   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

Advanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese, Ignacio Tabares, Wei Wang, Marcos Soldera, Andrés Fabián Lasagni   +4 more
wiley   +1 more source