Results 171 to 180 of about 2,540,801 (303)

IEEE Student Travel Grant

, 2000
IEEE Student Travel Grant (365 USD) concesso dall'IEEE Neural Network Council, a seguito di procedura comparativa con valutazione dei titoli, per la presentazione del lavoro intitolato “A Recursive Algorithm for Fuzzy Min-Max Networks” alla IEEE-INNS ...
PANELLA, Massimo
core  

Does ESG Uncertainty Matter for Renewable and Nonrenewable Energy Consumption? Policy Implications in the Context of SDG 7 and SDG 13

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In the discourse on environmental sustainability and energy security, energy management is an inevitable policy issue that requires research‐based solutions. Based on this, the present study contributes by examining the impact of environmental, social, and governance (ESG) uncertainty on energy consumption patterns in the USA from 2002 to 2024.
Naif Alsagr, Qasim Raza Syed, Ahsan Anwar   +2 more
wiley   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

A Fast Recursive Algorithm For

, 2008
The Weyl-Horn theorem characterizes a relationship between the eigenvalues and the singular values of an arbitrary matrix. Based on that characterization, a fast recursive algorithm is developed to construct numerically a matrix with prescribed ...
Constructing Matrices With, Abstract. Theweyl-horntheoremcharacterizesarelationshipbetweenthe Moodyt. Chu   +1 more
core  

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Differentially Private Hierarchical Spectral Clustering. [PDF]

Entropy (Basel)
Mohamed MS, Goldsmith AJ.
europepmc   +1 more source

Empirically Defining “Recurrent” Inappropriate Compensatory Behaviors: Differentiating Binge Eating Disorder From Bulimia Nervosa‐Spectrum Disorders

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective For multiple disorders, DSM‐5‐TR criteria include “recurrent” engagement in behaviors—for example, in the criteria for binge‐eating disorder (BED), “binge eating is not associated with the recurrent use of inappropriate compensatory behavior.”—without operationalizing how frequently a behavior needs to occur to be considered ...
Sophie R. Abber, Dan V. Blalock, Renee D. Rienecke, Philip S. Mehler, Alan Duffy, Jamie Manwaring, Maryrose Bauschka, Kimberly Anderson, Harry A. Brandt, Craig Johnson, Timothy Brewerton, Thomas E. Joiner, Lauren N. Forrest   +12 more
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang, Ting Tao, Kexiang Guo, Xinyu Fan, Xu Zhang, Zhen Zhou   +5 more
wiley   +1 more source

EVALUATING MULTIPLEX DIAGNOSTIC TEST USING PARTIALLY ORDERED BAYES CLASSIFIER. [PDF]

Ann Appl Stat
Cheung YK, Kuhn L.
europepmc   +1 more source