Results 101 to 110 of about 98,638 (216)

Applying a Support Vector Machine (SVM-RFE) Learning Approach to Investigate Students' Scientific Literacy Development: Evidence from Asia, Europe, and South America. [PDF]

J Intell
Li J, Wang J, Xue E.
europepmc   +1 more source

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

Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images. [PDF]

Sci Rep
Wang J.
europepmc   +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

Measuring What Matters: Constructing an ESG Controversy Index Using AI and Institutional ESG Frameworks

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental, Social, and Governance (ESG) controversies increasingly influence investment decisions, corporate accountability, and sustainability regulation. However, existing commercial controversy measures often rely on proprietary methodologies that limit transparency and make it difficult to understand how controversy assessments are ...
Zeina Samy Mohamed, Ahmed Elmasry, Stefano Zambon, Laura Girella   +3 more
wiley   +1 more source

Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors. [PDF]

J Mol Graph Model, 2016
Zhang X, Amin EA.
europepmc   +1 more source

An Application of Machine Learning and Textual Analytics for Visualisation and Enhanced Interpretation of Sustainability Disclosure

Business Strategy and the Environment, EarlyView.
ABSTRACT Social and environmental accounting provides accountability mechanisms through which organisations communicate their sustainability practices to stakeholders. However, the increasing volume, complexity and diversity of sustainability disclosures make manual content analysis both labour‐intensive and susceptible to subjectivity.
Tarek Rana, Peter Öhman, Jan Svanberg, Mohammad Saiedur Rahaman, Faruk Bhuiyan, Md. Hafij Ullah, Parvez Mia   +6 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

Electrospun Porous Materials for the Next‐Generation Proton Exchange Membrane Fuel Cells: Progress, Challenges, and AI‐Optimized Perspectives

Carbon Energy, EarlyView.
Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang, Panfeng Wang, You Gong, Zeyu Sun, Huatan Chen, Geng Wang, Ting Tao, Chuang Zhai, Xi Wang, Ruixin Chen, Jiaxin Jiang, Bingrong Zhang   +11 more
wiley   +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