Results 121 to 130 of about 6,357 (262)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Entrepreneurship in Latin America from a sociological perspective: a systematic literature review (2020-2025). [PDF]
Monroy-Barrero CJ.
europepmc +1 more source
Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu +4 more
wiley +1 more source
Health literacy related to climate change: a communıty-based cross-sectional study. [PDF]
Ekici E, Sezerol MA, Ozkol O.
europepmc +1 more source
A digital twin framework is presented for modular soft continuum arms built from fiber‐reinforced pneumatic actuators. Cosserat rod models describe individual actuators, while virtual assemblies are formed through serial and parallel networks, preserving actuator‐level architecture and arm deformation.
Seung Hyun Kim +11 more
wiley +1 more source
Insights from a dataset on web system adoption among small and medium-sized enterprises (SMEs): A survey in Malaysia. [PDF]
Jaganathan M +3 more
europepmc +1 more source
Characteristics of Taxation for Individual Entrepreneurs
The objective of this study is to analyze Uzbekistan's taxation system for individual entrepreneurs (IEs), emphasizing the need for a supportive tax framework to encourage entrepreneurship. Using data from Uzbekistan’s Tax Code, recent legal amendments, and national economic reports, the study applies a comparative analysis methodology to evaluate the ...
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