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Titlebook: Intelligent Systems for Smart Cities; Select Proceedings o Anand J. Kulkarni,Naoufel Cheikhrouhou Conference proceedings 2024 The Editor(s)

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31#
發(fā)表于 2025-3-27 00:50:10 | 只看該作者
Aniket Nargundkar,Anand J. Kulkarni,Milind Pandeanatomically important structures are clearly labeled both on DTI-derived color maps and conventional MRI. Complex fiber architecture is illustrated schematically and described concisely in textboxes directly on the relevant page. In the final part of the atlas, a straightforward, step-by-step appro
32#
發(fā)表于 2025-3-27 02:29:03 | 只看該作者
33#
發(fā)表于 2025-3-27 07:40:36 | 只看該作者
34#
發(fā)表于 2025-3-27 12:50:41 | 只看該作者
Amritesh,Mohammed Masood Owais,Vaibhav Vemula,Amityush Amit,S. Natarajananatomically important structures are clearly labeled both on DTI-derived color maps and conventional MRI. Complex fiber architecture is illustrated schematically and described concisely in textboxes directly on the relevant page. In the final part of the atlas, a straightforward, step-by-step appro
35#
發(fā)表于 2025-3-27 14:18:17 | 只看該作者
Conference proceedings 2024nce is ‘Intelligent Systems for Smart Cities‘. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disa
36#
發(fā)表于 2025-3-27 21:50:16 | 只看該作者
37#
發(fā)表于 2025-3-28 01:49:45 | 只看該作者
Credit Card Fraud Detection System Using Support Vector Classifier can successfully detect fraudulent transactions while minimizing false positives. The findings demonstrate that the suggested approach outperforms conventional fraud detection techniques, offering a possible answer to the problems associated with credit card fraud detection.
38#
發(fā)表于 2025-3-28 05:07:54 | 只看該作者
39#
發(fā)表于 2025-3-28 09:42:20 | 只看該作者
40#
發(fā)表于 2025-3-28 12:58:36 | 只看該作者
social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning..978-981-99-6983-8978-981-99-6984-5
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