Results 61 to 70 of about 23,025 (301)
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Statistica, 2021 Based on the hybrid censored samples, this article deals with the problem of point and interval estimation of the stress-strength reliability R = P(Y < X) when X and Y both have independent generalized inverted exponential distributions with different ...
Renu Garg, Kapil Kumar
doaj +1 more source
Advanced Functional Materials, EarlyView.This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Hybrid fluid-kinetic model for neutral particles in the plasma edge
Nuclear Materials and Energy, 2019 We elaborate a hybrid fluid-kinetic model for neutral particles in the plasma edge. A macro/fluid model with kinetic corrections in the closure terms of the fluid moment equations is solved in the entire domain.
N. Horsten, G. Samaey, M. Baelmans
doaj +1 more source
Energy Strategy Reviews, 2021 Given that the integration of renewable energy generation systems may have the potential to satisfy the electrical requirements of remote areas, this paper consists of a feasibility study with the focus on integrating renewable generation into the energy
Laetitia Uwineza +2 more
doaj +1 more source
Hybrid computer Monte Carlo techniques [PDF]
SIMULATION, 1965 This report introduces hybrid analog-digital com puter systems suitable for high-speed Monte-Carlo studies and suggests methods for further reducing the computing time, such as sequential estimation and a number of variance-reducing techniques. Shift- register-generated pseudo-random-noise is especially convenient for many hybrid analog-digital ...
openaire +1 more source
Reversibility violation in the Hybrid Monte Carlo algorithm [PDF]
Computer Physics Communications, 2018 17 pages, 5 figures, typos corrected, comment added, matches published ...
openaire +3 more sources
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Kinematics Analysis and Workspace Study of Hybrid Labelling Mechanism
Jixie chuandong, 2019 A novel 3T2R hybrid mechanism that consists of a 3-RRP4RR parallel mechanism and a two degree of freedom rotating mechanism is proposed according to engineering application scene of labelling for the round steel end surfaces of a bundle.
Fuxiang Zhang +3 more
doaj
An update on the BQCD Hybrid Monte Carlo program
EPJ Web of Conferences, 2018 We present an update of BQCD, our Hybrid Monte Carlo program for simulating lattice QCD. BQCD is one of the main production codes of the QCDSF collaboration and is used by CSSM and in some Japanese finite temperature and finite density projects.
Haar Taylor Ryan +2 more
doaj +1 more source