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Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the S Manoj Sahni,José M. Merigó,Rajkumar

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11#
發(fā)表于 2025-3-23 12:17:33 | 只看該作者
12#
發(fā)表于 2025-3-23 17:31:01 | 只看該作者
Akbari Jahanentences and some effective similarity measures to support finding correct answers without training data. The experimental results showed that the proposed method is quite effective and outperform a traditional QA method, which does not use reference information.
13#
發(fā)表于 2025-3-23 18:24:59 | 只看該作者
14#
發(fā)表于 2025-3-24 02:11:53 | 只看該作者
problem of contrary prioritization .. Furthermore, every contrary prioritized defeasible theory can be translated to a stratified logic program and vice versa. Hence, a contrary prioritized defeasible theory is as general as a stratified logic program.
15#
發(fā)表于 2025-3-24 06:14:15 | 只看該作者
16#
發(fā)表于 2025-3-24 10:29:29 | 只看該作者
Prianka Dey,Abhinandan Khan,Goutam Saha,Rajat Kumar Paltation) and how it should be given a formal representation. In addition to papers on this topic, a wide range of topics were represented, including, on the empirical side, focus phenomena, negative polarity items, reduplication, factivity and vagueness, and, on the theoretical side, variable-free se
17#
發(fā)表于 2025-3-24 11:52:13 | 只看該作者
Sarfraz Ahmed,Biju Kumar Duttaibria in view of individualistic expected utitility maximization. A profile of strategic deployments on a set of . may be argued in a repeated form. Thus one way to look for an eventual end point in our repeated game is to formulate the model in terms of . of a simultaneous differential equations sy
18#
發(fā)表于 2025-3-24 15:24:08 | 只看該作者
Prabhdeep Singh,Arindam Sharma,Sandeep Sharma,Pankaj Narulat (COLIEE). The competition focuses on the legal information processing required to answer yes/no questions from legal bar exams, and it consists of two phases: legal ad-hoc information retrieval (Phase 1), and textual entailment (Phase 2). We focus on Phase 2, which requires “Yes” or “No” answers t
19#
發(fā)表于 2025-3-24 20:53:00 | 只看該作者
20#
發(fā)表于 2025-3-25 01:22:27 | 只看該作者
Novel Generalized Divergence Measure for Intuitionistic Fuzzy Sets and Its Applications in Medical Dextant methods which is demonstrated in an intuitionistic fuzzy environment. It is noticed that the newly developed divergence measure found better results in comparison with the other existing methods.
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