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Titlebook: Recent Trends in Intelligence Enabled Research; Selected Papers of F Siddhartha Bhattacharyya,Gautam Das,Leo Mrsic Conference proceedings 2

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31#
發(fā)表于 2025-3-26 21:06:05 | 只看該作者
2194-5357 nting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies..978-981-99-1471-5978-981-99-1472-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
32#
發(fā)表于 2025-3-27 03:57:46 | 只看該作者
33#
發(fā)表于 2025-3-27 07:50:29 | 只看該作者
34#
發(fā)表于 2025-3-27 11:09:46 | 只看該作者
Mousumi Laha,Amit Konarntal aerodynamics based on a?prospective vision of the discipline, and discusses potential futures challenges.. The book can be used as a textbook for graduate courses in aerodynamics, typically offered to stud978-3-030-35564-7978-3-030-35562-3Series ISSN 2195-9862 Series E-ISSN 2195-9870
35#
發(fā)表于 2025-3-27 17:30:36 | 只看該作者
36#
發(fā)表于 2025-3-27 17:46:17 | 只看該作者
Cybersecurity Imminent Threats with Solutions in Higher Education, overview of not uncommon cybersecurity vulnerabilities are all combined in this document. Strategic cyber risks are summarized in this report with descriptions of frequency distributions and starting points for protection researchers in higher education.
37#
發(fā)表于 2025-3-28 00:14:26 | 只看該作者
38#
發(fā)表于 2025-3-28 05:11:56 | 只看該作者
39#
發(fā)表于 2025-3-28 06:48:32 | 只看該作者
Big Data Analytics-Based Recommendation System Using Ensemble Model,dation engine allows users to pick and choose services they need. The present study compared two distinct recommendation frameworks: a single algorithm and an ensemble algorithm model. Experiments were conducted to compare the efficacy of separate algorithms and ensemble algorithm. Interestingly, th
40#
發(fā)表于 2025-3-28 10:31:58 | 只看該作者
Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects n the formulation to handle uncertainty in multi-trial and multi-session experimental brain data using general type-2 fuzzy logic. The proposed technique outperforms traditional type-2 fuzzy techniques both with respect to percent success rate and run-time complexity
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