Results 151 to 160 of about 342,765 (293)
Energy Prediction and Optimization for Smart Homes with Weather Metric-Weight Coefficients. [PDF]
Sensors (Basel), 2023 Mehmood A, Lee KT, Kim DH.
europepmc +1 more source
Advanced Energy Materials, EarlyView.This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern +13 more
wiley +1 more source
Retracted: Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Preliminary Study of Adaptive Decision-Making System for Vocal Command in Smart Home
, 2016 International audienceIn smart homes, prediction and decision are often defined a priori and require tuning from the user, which can be tedious, and complex.
Brenon, Alexis +2 more
core +1 more source
Advanced Energy Materials, EarlyView.Strain‐driven Ru inward migration creates confined RuO2/Pt mosaic heterointerfaces within a PtNi multiframe. These interfaces enable redox‐asymmetric Pt–Ru coupling that stabilizes Ru4+, suppresses lattice oxygen participation, and promotes highly durable acidic oxygen evolution.
Yeji Park +13 more
wiley +1 more source
Smart Homes Supporting the Wellness of One or Two-Person Households. [PDF]
Sensors (Basel), 2022 Cho ME, Kim MJ.
europepmc +1 more source
Agribusiness, EarlyView.ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal +2 more
wiley +1 more source
User requirements for the design of smart homes: dimensions and goals. [PDF]
J Ambient Intell Humaniz Comput, 2022 Reisinger MR +3 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses. [PDF]
Int J Environ Res Public Health, 2022 Hong YK, Wang ZY, Cho JY.
europepmc +1 more source