cavity
发表于 2025-3-25 06:14:05
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engrave
发表于 2025-3-25 10:09:53
1868-4394 Dedicated to Dr. Peter Borwein for his contribution to resea.Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exha
高深莫测
发表于 2025-3-25 11:54:24
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Esalate
发表于 2025-3-25 19:42:07
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听写
发表于 2025-3-25 21:14:03
Satyajit Ratha,Aneeya Kumar Samantara applications of computational models like Kabbalah Tree of Life, Spectral Analysis, Fuzzy Cognitive Maps, Artificial Neural Network, Cellular Automata, and Agent based modelling approaches are proposed and applied successfully to investigate intricacies of the systems.
遗忘
发表于 2025-3-26 03:32:52
Satyajit Ratha,Aneeya Kumar Samantarase and their unity. This makes it an ideal framework for behavioral economics and finance where cognitive and emotional biases and heuristics play a central role. In Burstein and Negoita , we began to develop a Kabbalah system theory, modeling the Tree of Life as a hierarchical three level feedba
呼吸
发表于 2025-3-26 06:31:30
Springer Series in Materials Sciencece the collapse of Lehman Brothers, the commodity-based economies of Brazil and Australia exhibit limited evidence of this. Rather than disrupting relations, financial information appears to be absorbed by equity market in an efficient manner, reflecting time-zone delays.
Acetabulum
发表于 2025-3-26 11:32:38
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牵索
发表于 2025-3-26 14:42:46
W. Brett Caldwell,Chad A. Mirkiner, research and care interventions have primarily focussed on examining specific intrinsic and extrinsic risk factors, rather than capturing a holistic understanding of the fall event. As a result, there is a paucity of research which has captured the contributory factors of falls at the personal,
墙壁
发表于 2025-3-26 18:01:11
W. Brett Caldwell,Chad A. Mirkinildren with disability has long been a difficult issue. This paper proposes a systematic approach for classification of potential cases more accurately and easily by use of Artificial Neural Network (ANN). In this paper, an attempt has been made to apply Artificial Neural Networks (ANN) for classifi