Results 191 to 200 of about 411,065 (301)

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]

Sci Rep
Raju LR, Reddy MVK, Surukanti SR, Sudhakar G, Subrahmanya Sarma M VV, Adepu A.   +5 more
europepmc   +1 more source

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration. [PDF]

PLoS One
Xu G, Yang G, Bao J, Feng H, Zhang F, Zheng H.   +5 more
europepmc   +1 more source

Understanding plan’s priorities: Short term scheduling optimization

, 2019
A.B. Andrade, P.C.B. Rampazzo
openaire   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

Wave-off: a mechanism for physician-reduced demand. [PDF]

BMC Health Serv Res
Dai Y, Xu Y, Zhang J, Zhang Y, Wang Y, Xie Y, Hu JQ, Liu Y, Cheng L.   +8 more
europepmc   +1 more source

Session 2.3 Short-term dispatching and scheduling

International Journal of Electrical Power & Energy Systems, 1979
openaire   +1 more source

Facilitating Expedited Drug Approval—the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, EarlyView.
Pamela F. Weiss, Hermine I. Brunner
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source