Malleable
发表于 2025-3-25 06:40:49
Kirsten Haack Soviet Union and her need for access to the Mediterranean from the Black Sea. In the nuclear era, however, more complex strategic considerations have come to dominate Soviet interests in this region. The military-strategic factor became increasingly important in the 1960s, as the Soviet Union sough
个阿姨勾引你
发表于 2025-3-25 10:12:34
http://reply.papertrans.cn/64/6369/636823/636823_22.png
树胶
发表于 2025-3-25 12:38:30
http://reply.papertrans.cn/64/6369/636823/636823_23.png
强制性
发表于 2025-3-25 18:46:17
http://reply.papertrans.cn/64/6369/636823/636823_24.png
crucial
发表于 2025-3-25 21:40:56
Multilevel Association Mining with Particle Swarm Optimization: A Comprehensive Approach for High-Utility Itemset Discoveryse algorithms play pivotal roles in engineering, medicine, and business, facilitating informed decision-making and pattern recognition. High-utility pattern mining, an essential aspect of knowledge discovery, has emerged to address limitations in traditional frequent pattern mining by considering th
担忧
发表于 2025-3-26 01:21:14
http://reply.papertrans.cn/64/6369/636823/636823_26.png
Psa617
发表于 2025-3-26 05:52:46
Beschaffenheit des Erzschaumes, and high bandwidth, but also well flexibility and scalability. Detailed hardware implementation is discussed in the paper. And the proposed architecture is evaluated in terms of area cost and performance.
Obsessed
发表于 2025-3-26 11:33:31
http://reply.papertrans.cn/64/6369/636823/636823_28.png
不幸的人
发表于 2025-3-26 15:45:06
A Feasibility Review of Novel Avian-Based Optimization Algorithms for Damage Detection in a Truss Bridgem (AVOA) are reviewed for their feasibility in detecting structural damages in truss bridge. The accuracy of the proposed algorithms is compared against two other famous algorithms: particle swarm optimization (PSO) and cuckoo search (CS). The results of the feasibility review for damage detection capability are discussed.
沙发
发表于 2025-3-26 18:58:43
Alexander Antonov,Thomas Hoffmann and warped guidance as input to produce the restoration result. Due to that the ground-truth flow field is unavailable, landmark loss together with total variation regularization are incorporated to guide the learning of WarpNet. Furthermore, to make the model applicable to blind restoration, our G