Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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
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Traffic pattern-adaptive channel allocation in cognitive radio networks via multi-scale windowing. [PDF]
Sci RepMin Z, Ziru W, Jinyuan B, Bo Z.
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GRU-SVM Based Threat Detection in Cognitive Radio Network. [PDF]
Sensors (Basel), 2023 I EE, Clement JC.
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Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
Advanced Intelligent Systems, EarlyView.This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
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Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks. [PDF]
Sci RepImran M +6 more
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Performance enhancement in clustering cooperative spectrum sensing for cognitive radio network using metaheuristic algorithm. [PDF]
Sci Rep, 2023 Srivastava V +5 more
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Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Correction: A scalable UWB-to-reconfigurable MIMO filtenna with single-varactor tuning and enhanced isolation for adaptive 5G and cognitive radio systems. [PDF]
Sci RepFouda HS, Hamoud AS, Attia MA.
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Spectrum Sensing, Clustering Algorithms, and Energy-Harvesting Technology for Cognitive-Radio-Based Internet-of-Things Networks. [PDF]
Sensors (Basel), 2023 Fernando X, Lăzăroiu G.
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