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Titlebook: Models and Algorithms for Global Optimization; Essays Dedicated to Aimo T?rn,Julius ?ilinskas Book 2007 Springer-Verlag US 2007 Determinis

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發(fā)表于 2025-3-25 04:50:08 | 只看該作者
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發(fā)表于 2025-3-25 19:06:51 | 只看該作者
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發(fā)表于 2025-3-25 20:48:58 | 只看該作者
Determinants of Preventive Behaviors of COVID-19 in China: An Information-Motivation-Behavioral Skills Modeleen found, the best way to reduce the chance of COVID-19 infection is taking proper and effective preventive measures. This study attempts explore the determinants of preventive behaviors of COVID-19 (pre-COVID-19 behavior). An Information-Motivation-Behavioral model is adopted to construct the theo
26#
發(fā)表于 2025-3-26 02:23:14 | 只看該作者
Translating Lessons from Status Characteristics and Expectation States Theory to Survey Methodss of characteristics such as race or gender. SC-EST most commonly examines group dynamics in experimental settings, making it unfamiliar to most survey methodologists. In this chapter, I begin by introducing SC-EST to survey methodologists. I then describe opportunities for symbiosis between survey
27#
發(fā)表于 2025-3-26 06:35:03 | 只看該作者
28#
發(fā)表于 2025-3-26 08:49:40 | 只看該作者
Quality Control of Mass Reared Egg Parasitoids,cs essential for understanding practical quality control guidelines, because without a proper theoretical background, relevant guidelines cannot be developed. Where possible, we have illustrated background theory with examples from the egg parasitoid literature.
29#
發(fā)表于 2025-3-26 16:09:17 | 只看該作者
Cellular Automata-Based Sentiment Analysisiments from the reviews as positive or negative. Our approach produces 92.44% of accuracy for the sentiment tweets dataset by using various parameters which are extracted from the cycle length values generated by elementary cellular automata without using any kind of pre-trained language models.
30#
發(fā)表于 2025-3-26 17:30:46 | 只看該作者
https://doi.org/10.1057/9780230373334set contains all information to assess how closely various algorithms approximate that goal. In a comprehensive comparison, we evaluate state-of-the-art single image BD algorithms incorporating uniform and non-uniform blur models.
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