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Aniket Kumar Singh, Bishal Lamichhane, Suman Devkota, Uttam Dhakal and Chandra Dhakal
This study investigates self-assessment tendencies in Large Language Models (LLMs), examining if patterns resemble human cognitive biases like the Dunning?Kruger effect. LLMs, including GPT, BARD, Claude, and LLaMA, are evaluated using confidence scores ...
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Jingchen Wang, Qihe Shan, Tieshan Li, Geyang Xiao and Qi Xu
This paper studied the collision avoidance issue in the formation-containment tracking control of multi-USVs (unmanned surface vehicles) with constrained velocity and driving force. Specifically, based on a dual-layer control framework, it designed a mul...
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Shouyuan Zhang, Xin Wang and Haitao Ma
With the widespread use of sector gates in tidal river locks, there is a growing interest in the operating force during the gate operation. This study investigates the characteristics of operating forces in a sector gate hydraulic cylinder system using p...
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Chuanyun Xu, Hang Wang, Yang Zhang, Zheng Zhou and Gang Li
Few-shot learning refers to training a model with a few labeled data to effectively recognize unseen categories. Recently, numerous approaches have been suggested to improve the extraction of abundant feature information at hierarchical layers or multipl...
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Chrysanthi Charatsari, Anastasios Michailidis, Martina Francescone, Marcello De Rosa, Dimitrios Aidonis, Luca Bartoli, Giuseppe La Rocca, Luca Camanzi and Evagelos D. Lioutas
The digitalization of agriculture generates a new environment for the actors involved in agrifood production. In such a context, Agricultural Knowledge and Innovation Systems (AKISs) face the challenge of reconsidering their operational paradigms, redefi...
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