The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
CONROE, Texas, Oct. 16, 2025 (GLOBE NEWSWIRE) -- via IBN -- Safe & Green Holdings Corp. (SGBX) (NASDAQ: SGBX), and its wholly owned subsidiary, Olenox Corp, a vertically integrated energy company, ...
President Trump penned an executive order Thursday to form a new classification of noncareer federal employees who will be hired to “help faithfully implement the President’s policy agenda.” The ...
To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
Multiview Enhanced Characteristics (Mecha) is a new feature-based TSC algorithm. Mecha consists of three components. In the diverse feature extractor, the global and local patterns are enhanced via ...
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