Results 91 to 100 of about 364,970 (290)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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 +1 more
wiley +1 more source
Multiple-Use Landscapes: Reclaimed Phosphate Mined Lands
Phosphate mining is a temporary land use. The jobs and economic activity associated with mining depart an area once the resource is exhausted — but the landscape created as a result of mining and reclamation will exist in perpetuity. Communities affected
M. Wilson, Edward A. Hanlon
doaj +2 more sources
The New Trends in Adaptive Educational Hypermedia Systems
This paper aims to give a general review of existing literature on adaptive educational hypermedia systems and to reveal technological trends and approaches within these studies.
Sibel Somyürek
doaj +3 more sources
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 +3 more
wiley +1 more source
CoalHeritage: Visualising and Promoting Europe’s Coal Mining Heritage
Heritage and culture tourism involve features that commemorate a valued past. Mining heritage tourism allows visitors to experience the past, guided by former mining landscapes and engaging interactively with material artifacts. This paper introduces the
Pavlos Krassakis +24 more
doaj +1 more source
Arabic web pages clustering and annotation using semantic class features
To effectively manage the great amount of data on Arabic web pages and to enable the classification of relevant information are very important research problems.
Hanan M. Alghamdi +2 more
doaj +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
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 +3 more
wiley +1 more source
An Improved Recommender System Based on Forgetting Mechanism for User Interest-Drifting
Highly effective recommender systems may still face users’ interest drifting. One of the main strategies for handling interest-drifting is forgetting mechanism.
Rozita Tavakolian +2 more
doaj
WEB CONTENT EXTRACTION USING HYBRID APPROACH [PDF]
The World Wide Web has rich source of voluminous and heterogeneous information which continues to expand in size and complexity. Many Web pages are unstructured and semi-structured, so it consists of noisy information like advertisement, links, headers ...
K. Nethra, J. Anitha, G. Thilagavathi
doaj
Signed Approach For Mining Web Content Outliers
The emergence of the Internet has brewed the revolution of information storage and retrieval. As most of the data in the web is unstructured, and contains a mix of text, video, audio etc, there is a need to mine information to cater to the specific needs of the users without loss of important hidden information.
G. Poonkuzhali +3 more
openaire +1 more source

