Results 291 to 300 of about 2,954,191 (381)
Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm. [PDF]
Hasan MS+3 more
europepmc +1 more source
State Energy Data Report, Consumption estimates 1960--1989. [contains glossary]
openalex +2 more sources
The electroplating of a CrCoNi medium‐entropy alloy is achieved using a mixture of an ionic liquid and an aqueous solution containing metal salts. The CrCoNi medium‐entropy alloy thin film exhibits high wear and corrosion resistance superior to conventional hard chromium coatings. Abstract High‐entropy alloys (HEAs) and medium‐entropy alloys (MEAs) are
Yuki Murakami+7 more
wiley +1 more source
Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools. [PDF]
Aquino-Brítez S+3 more
europepmc +1 more source
ENERGY CONSUMPTION AND CO_2 EMISSION DUE TO CONSTRUCTION OF DISTRICT PIPING
Hideaki Hayashi+4 more
openalex +2 more sources
Self‐aligned gate transistors are developed with a single‐step dielectric passivation and fine‐tuning of source/drain electrode work function using phosphonic acid self‐assembled monolayers (SAM). This transistor architecture minimizes overlap capacitances and access resistance.
Linqu Luo+16 more
wiley +1 more source
System for the Acquisition and Monitoring of Energy Consumption in the Context of Industry 4.0. [PDF]
Covrig T+6 more
europepmc +1 more source
A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao+17 more
wiley +1 more source
Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks. [PDF]
Sun P+6 more
europepmc +1 more source
This research utilizes selective reduction laser sintering (SRLS) to engineer In2O3 NPs for flexible NO2 sensors. The introduction of oxygen vacancy defects enhances sensor performance, offering excellent responsiveness, rapid response/recovery, superior selectivity, low detection limit, and long‐term stability.
Shaogang Wang+8 more
wiley +1 more source