Results 201 to 210 of about 9,169,616 (322)

Mitigating the Heat: The Role of AI Technology in Shielding Corporate Environmental Performance From Extreme Temperatures—Difference‐in‐Differences Evidence From Chinese Listed Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT Extreme heat has become a recurring operational challenge that disrupts production, raises energy and maintenance needs, and makes it harder for firms to sustain environmental performance. However, it remains less clear whether AI‐related capability is associated with firms' ability to maintain environmental performance under recurring extreme‐
Shangze Dai, Xinde James Ji, Kai Huang
wiley   +1 more source

Entrepreneurial Ecosystem Conditions and Sustainable Value Creation: Predictive Evidence From Knowledge‐Intensive Ventures in São Paulo, Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT Entrepreneurial ecosystems (EEs) are systems shaping innovation and sustainable development, yet limited evidence exists on the relative predictive contribution of their components to sustainable value creation. This study examines associations between six EE dimensions and environmental, social and economic value creation among 245 knowledge ...
Damaris Chieregato Vicentin, Gustavo Hermínio Salati Marcondes de Moraes, Bruno Brandão Fischer, João Henrique Paulino Pires Eustachio, Walter Leal Filho   +4 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Investigation of Machine Learning Models for Anxiety Levels Assessment in Patients With Breast Cancer Using Self-Questionnaires. [PDF]

J Korean Med Sci
Kang T, Moon E, Kim K, Lim H, Suh H, Kim KE, Park H.   +6 more
europepmc   +1 more source

SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence

Nucleic Acids Res., 2003
C. Cai, Lianyi Han, Z. Ji, X. Chen, Yu-Zong Chen   +4 more
semanticscholar   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Simulation-informed kernel-based regression models for predicting temperature distribution in microwave hyperthermia. [PDF]

Sci Rep
Alazwari MA, Abu-Hamdeh NH, Almitani KH.
europepmc   +1 more source

Extended batch adsorber analogue model (e‐BAAM) for rapid evaluation of CO2 capture pressure swing adsorption cycles

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley   +1 more source

Open wide: Identifying North Atlantic right whale feeding behaviour using camera-validated kinematic data and machine learning. [PDF]

PLoS One
Kirkham J, Davies KTA, Foley HJ, Zadra C, Frith R, Segre PS, Fortune SME.   +6 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source