progestin
发表于 2025-3-26 21:15:15
TR-Based Antenna Design with Forward FD: The Effects of Step Size on the Optimization Performancece of the final designs obtained using different FD setups may vary by as much as 18 dB (and by over 4 dB on average). At the same time, the . perturbations in a range between 1.5% and 3% (w.r.t. the initial design) seem to be suitable for maintaining (relatively) consistent and high-quality results.
否决
发表于 2025-3-27 03:21:39
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巡回
发表于 2025-3-27 08:53:45
Assessing the Stability of Text-to-Text Models for Keyword Generation Tasksmance, particularly with larger model sizes. Furthermore, they analyze the coherence within a family of models and propose novel approaches to assess the stability of the model. In general, the findings underscore the importance of considering experimental variability when evaluating and comparing text-to-text models for keyword generation tasks.
悲观
发表于 2025-3-27 10:37:00
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Grandstand
发表于 2025-3-27 17:40:44
Conference proceedings 2024place in Malaga, Spain, during July 2–4, 2024...The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions...They were organized in topical sections as follows:..Part I:. ICCS 2024 Main Track Full Papers;..Part II:. ICCS 2024 Main
小丑
发表于 2025-3-27 18:13:28
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表主动
发表于 2025-3-28 01:35:47
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领袖气质
发表于 2025-3-28 03:23:12
Algebraic Analysis of Differential Equationsfficiency. We used four various real datasets in our experimental stage. Overall, we proceeded with almost twenty thousand experiments. The results prove that the clustering algorithm, the amount of input data, the method of cluster representation, and the subject of clustering significantly impact the inference efficiency.
Congregate
发表于 2025-3-28 08:11:52
First-Order Ordinary Differential Equationsoundational element. By fusioning emotions and emotional dimension, arousal, and valence. This paper outlines the theoretical foundations, key components, and integration principles of the proposed framework, paving the way for future advancements in computational creativity and affective computing.
下级
发表于 2025-3-28 11:20:05
Ernest G. Manes,Michael A. Arbib basic and its variant optimized by strip-mining vectorization) are based on OpenMP and OpenACC. Strip-mining gave clear enhancement in comparison to the basic version. The energy efficiency is much better on GPU than on CPU; and on CPU, the use of OpenMP is more energy-efficient; however, for GPU, OpenACC gives better results.