储备
发表于 2025-3-25 05:02:42
3.1.5.1 Theoretical data sources,hievement surpasses the performance of the . model, which relies on a multilingual pre-trained model. Notably, our approach significantly reduces the computational costs associated with the process of Bert fine-tuning.
BILK
发表于 2025-3-25 09:23:28
Collisions of Electrons with Atomic Ions with images taken in natural environments, managing noisy data, and surmounting the diverse challenges encountered in the wild. Our experiments provide a concise evaluation of text detection algorithms centered around convolutional neural networks (CNNs). Specifically, we concentrate on different v
AER
发表于 2025-3-25 11:42:18
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BIAS
发表于 2025-3-25 19:23:22
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IRS
发表于 2025-3-25 21:39:42
3.2.5 Short description of theories,at allows exchanging individually created DSMLs and their constructs, essential in promoting tool interoperability. As DSMLs represent domain-specific peculiarities within a single area, the proposed exchange mechanism evaluates with a simple illustrative example the applicability of DSML informatio
aspect
发表于 2025-3-26 02:43:22
Title Page, Contributors, Preface,ter results than other models. This experiment‘s validation results of dice coefficient, recall, precision, and dice loss results are 0.85, 0.776, 0.94, and 0.148, respectively. The complexity of the data was investigated by finding the intra-observer error using the dice coefficient; the mean resul
赔偿
发表于 2025-3-26 05:02:35
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表脸
发表于 2025-3-26 11:05:56
Collisions of Electrons with Atomic Ionscations for the healthcare sector. The objective of this study is to demonstrate that distributed deep learning and IoT technology can serve as a strong foundation for constructing efficient and scalable Smart Building applications in healthcare. The experimental results confirm that distributed dee
–FER
发表于 2025-3-26 13:04:05
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commodity
发表于 2025-3-26 17:49:18
1865-0929 gineering, MEDI 2023, held in Sousse, Tunisia, in November 2023..The 12 short papers presented were selected from the total of 99 submissions. This volume also contains the 7 accepted papers from the DEITS 2023 workshop, held at MEDI 2023. The volume focuses on machine learning and optimization; nat