战役 发表于 2025-3-28 15:31:35
A Brief Review of Vertical Fragmentation Methods Considering Multimedia Databases and Content-Based pers referring to vertical fragmentation and/or content-based image retrieval. Finally, we selected the best method from our comparative analysis and presented a web application architecture for applying vertical fragmentation in multimedia databases to optimize content-based queries.吸引人的花招 发表于 2025-3-28 19:18:53
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A Novel Method Based on Numerical Iterations for Joint-Space Trajectory Generation with a via Pointis presented, and some examples are described to create the trajectory and comparing to the sixth-order polynomial method. This new method is inspired for avoiding infinite spikes at the beginning and the end of the velocity-acceleration-jerk function. Also, this function is to get better accuracy in matching the via point and the final point.Hyperopia 发表于 2025-3-29 10:28:08
http://reply.papertrans.cn/67/6656/665586/665586_45.png北京人起源 发表于 2025-3-29 11:55:32
eactor (AGR) power station simulator. The results of these trials are reported in this chapter..The principles of the AGR power system design are briefly outlined in Section 5.1. The control strategy currently implemented at Hunterston is described in Section 5.2. The Hunterston ‘B’ simulator consis驾驶 发表于 2025-3-29 18:43:12
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Jezreel Mejía,Mirna Muñoz,Perla Maciel-Gallegos,Yadira Quiñonezon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb全能 发表于 2025-3-30 04:05:14
Oscar Carlos Medina,Manuel Pérez Cota,Luis Esteban Damiano,Karen Della Mea,Marcelo Martin Marciszackon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb