Results 21 to 30 of about 155,604 (315)
Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation
IEEE Access, 2023 Existing self-supervised sequential recommendations face the problem of noisy interactions and sparse sequence data, and train models based only on item prediction losses, so they usually fail to learn an appropriate sequential representation.
Yi Li +4 more
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An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem
Complexity, 2023 The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver.
Skander Htiouech +4 more
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Applications of Artificial Intelligence in Medical Imaging
, 2023 Artificial intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image ...
Subasi, Abdulhamit
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BMC Bioinformatics, 2022 Background Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus forming the critical aspects for the early treatment of several diseases.
Hua Chen +6 more
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Classification of waste in natural environments [PDF]
MATEC Web of ConferencesA worldwide issue affecting the world is waste disposal; hence, the need to construct a waste detection system that is based on deep learning. Ten wastes are evaluated in this article with a view of providing an integrated framework for measurement and ...
Kumar Kanaparthi Suresh +5 more
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A multiresolution framework to characterize single-cell state landscapes
Nature Communications, 2020 Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. Here, the authors introduce the concept of multiresolution cell-state decomposition as a practical approach to simultaneously capture both fine- and coarse ...
Shahin Mohammadi +2 more
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Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives
Energies, 2023 In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science.
Dorian Skrobek +8 more
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Artificial Intelligence in Computer Science
International Journal of Electrical Engineering and SustainabilityArtificial Intelligence (AI) has emerged as a cornerstone of modern computer science, exerting a profound influence on diverse sectors of society. This article offers a comprehensive overview of the evolution and impact of AI in computer science. Beginning with its historical roots and development, the article traces AI's trajectory from its inception ...
Mohamed Khaleel +2 more
openaire +4 more sources
Risk prediction model for cannabis use with artificial intelligence approach
, 2023 Background Identifying the most important predictors of substance use is crucial for developing effective prevention policies. Traditional statistical methods have some limitations in this regard.
Subasi, A +2 more
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Scientific Reports, 2022 Contagious respiratory diseases, such as COVID-19, depend on sufficiently prolonged exposures for the successful transmission of the underlying pathogen.
Chathika Gunaratne +3 more
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