Results 91 to 100 of about 390,113 (287)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

An evaluation of scaffolding for virtual interactive tutorials [PDF]

, 2002
Scaffolding refers to a temporary support framework used during construction. Applied to teaching and learning it describes measures to support a learner to become confident and self-reliant in a subject. In a Web environment scaffolding features need to
Pahl, Claus
core  

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs

, 2019
{\it SimRank} is a classic measure of the similarities of nodes in a graph. Given a node $u$ in graph $G =(V, E)$, a {\em single-source SimRank query} returns the SimRank similarities $s(u, v)$ between node $u$ and each node $v \in V$.
Du, Xiaoyong, He, Xiaodong, Liu, Yu, Wang, Sibo, Wei, Zhewei, Wen, Ji-Rong, Xiao, Xiaokui   +6 more
core   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Автоматизація процесу класифікації запитів користувачів по джерелах даних нафтогазової справи [PDF]

, 2010
Представлено структурні рішення для пошукових задач в рамках процесу видобування інформації для інтегрованого середовища WEB-орієнтованої цифрової бібліотеки з метою реалізації інтелектуальних функцій підтримки запитів користувачів та логічної ...
Стисло, Т. Р., Шекета, В. І.   +1 more
core  

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

What country, university or research institute, performed the best on COVID-19? Bibliometric analysis of scientific literature

, 2020
In this article, we conduct data mining to discover the countries, universities and companies, produced or collaborated the most research on Covid-19 since the pandemic started.
De Roure, David, Maddox, La Treall, Montalvo, Rafael Mantilla, Radanliev, Petar, Santos, Omar, Van Kleek, Max, Walton, Rob   +6 more
core  

Efficient Incremental Breadth-Depth XML Event Mining

, 2011
Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining.
Boussaïd, Omar, Darmont, Jérôme, Salem, Rashed   +2 more
core   +2 more sources

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Influence of ownership structure and international operations on web-based environmental disclosure in the Asian mining industry

Sustainable Futures
Based on the stakeholder theory, this research explores the influence of various forms of stakeholder pressure on web-based environmental disclosure within the Asian mining industry.
Muhammad Hamdan Sayadi, Doddy Setiawan
doaj   +1 more source