彻底检查
发表于 2025-3-25 04:24:07
Gabriel Maik,Grzegorz Mzyk then proposes how this knowledge can serve as a unique key to a dramatic leap forwards in achieving more social freedom in the real world. At heart, sociophysics and this book are about better comprehending the richness and potential of our social interaction, and so distancing ourselves from inani
指耕作
发表于 2025-3-25 08:46:21
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Aerophagia
发表于 2025-3-25 13:32:38
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innovation
发表于 2025-3-25 16:07:54
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colloquial
发表于 2025-3-25 21:12:58
Szymon Niewiadomski,Grzegorz Mzyknts of emotion as the fundamental problem of the area (Schachter & Singer, 1962; Harris & Katkin, 1975; Valins, 1966). While such phenomena continue to be of fundamental interest, a much wider array of investigations has now been completed. This volume examines some of the major current programs of
mercenary
发表于 2025-3-26 03:30:59
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Tdd526
发表于 2025-3-26 06:58:46
,Large Language Models for Data Extraction in Slot-Filling Tasks,aper, we investigate the usage of three open-source large language models in a slot-filling task, which is a crucial task in chatbot development. Apart from testing the method on an in-house created dataset, we checked the methodology on two main benchmarks in this field. The obtained results for mo
闲聊
发表于 2025-3-26 11:23:49
Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof,n item in online auctions, they become a more popular option. They are more convenient since buyers can participate from all around the world. Additional advantage is that the possibility to make auctions more anonymous. Specifically, it may be crucial for the user to keep their interest in the comm
Narcissist
发表于 2025-3-26 15:02:41
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Astigmatism
发表于 2025-3-26 16:59:20
,Using Resizing Layer in U-Net to Improve Memory Efficiency,Artificial intelligence, which is becoming more and more widespread, is already able to achieve good results in segmentation, making the task of medical staff easier. The U-net is a widely popular convolutional neural network designed to be involved in image segmentation. However, when training the