Results 111 to 120 of about 6,054 (242)

Comparative evaluation of several models for forecasting hourly electricity use in a steel plant. [PDF]

Sci Rep
Gu F, Zhao Y.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]

Sci Rep
Li A.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Influence of synthetic derivatives of cytokinin and auxin on yield and quality of rainy season guava (Psidium guajava L.) cv. Shweta. [PDF]

Sci Rep
Mourya A, Darshan D, Kumar A, Singh SN, Singh U.   +4 more
europepmc   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Ancient Species Diversity and Niche Adaptation in Tannerella and Porphyromonas Revealed Through Pangenomics. [PDF]

Genome Biol Evol
Galtier A, Warinner C, Velsko IM.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Physics-Informed Graph Learning for Spatially Contiguous and Capacity-Constrained Hospital Service Area Delineation. [PDF]

Comput Environ Urban Syst
Liu L, Wang F.
europepmc   +1 more source

Sensemaking and CSR Character in Multinational Corporations: A Comparative Study of Headquarters and Subsidiary Practices in the UAE

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT While corporate social responsibility (CSR) scholarship assumes that organizational consistency signals effectiveness, there remains a knowledge gap about how MNCs navigate competing institutional logics between headquarters and subsidiaries. This study investigates how managerial sensemaking mediates the effects of institutional pressures on ...
Charles Antony Diab, Wendy Stubbs
wiley   +1 more source