Results 221 to 230 of about 3,038,089 (290)

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy, Marco Costanigro, Joshua Berning, Jude Bayham   +3 more
wiley   +1 more source

Sparse Coding Methods for Music Induced Emotion Recognition

Annals of computer science and information systems, 2016
Jan Jakubik, Halina Kwaśnicka
doaj   +1 more source

Visual Tracking Using Sparse Coding and Earth Mover's Distance. [PDF]

Front Robot AI, 2018
Yao G, Dani A.
europepmc   +1 more source

Temperature and Farm Labor in Nigeria

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We estimate the impact of temperature shocks on the composition of farm labor in rural Nigeria using a nationally representative household panel survey. Leveraging plausibly exogenous year‐to‐year variation in growing season temperatures, we find that warmer temperatures significantly alter farm labor composition, prompting a substantial shift
Andu Berha
wiley   +1 more source

Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach. [PDF]

Biomed Res Int, 2019
Chen X, Hu X, Yi W, Zou X, Xue W.
europepmc   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source

Sparse coding of pathology slides compared to transfer learning with deep neural networks. [PDF]

BMC Bioinformatics, 2018
Fischer W, Moudgalya SS, Cohn JD, Nguyen NTT, Kenyon GT.   +4 more
europepmc   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Toward a unified theory of efficient, predictive, and sparse coding. [PDF]

Proc Natl Acad Sci U S A, 2018
Chalk M, Marre O, Tkačik G.
europepmc   +1 more source