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Titlebook: Recent Trends in Artificial Intelligence Towards a Smart World; Applications in Indu Rajeev Arya,Subhash Chander Sharma,Brijesh Iyer Book 2

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31#
發(fā)表于 2025-3-26 22:41:21 | 只看該作者
32#
發(fā)表于 2025-3-27 01:43:37 | 只看該作者
Neelam Yadav,Varuna Gupta,Aakansha Gargthe Selberg formula, Brun’s sieve, and the Large Sieve Inequality. Methodology is emphasized throughout, with frequent opportunities to explore numerically using computer algebra packages Pari/GP and Sage...Exc978-3-030-73171-7978-3-030-73169-4Series ISSN 1019-6242 Series E-ISSN 2296-4894
33#
發(fā)表于 2025-3-27 07:19:42 | 只看該作者
Vandana Mehndiratta,Varuna Gupta,Aakansha Gargthe Selberg formula, Brun’s sieve, and the Large Sieve Inequality. Methodology is emphasized throughout, with frequent opportunities to explore numerically using computer algebra packages Pari/GP and Sage...Exc978-3-030-73171-7978-3-030-73169-4Series ISSN 1019-6242 Series E-ISSN 2296-4894
34#
發(fā)表于 2025-3-27 11:56:51 | 只看該作者
2731-8125 us industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for govern978-981-97-6792-2978-981-97-6790-8Series ISSN 2731-8125 Series E-ISSN 2731-8133
35#
發(fā)表于 2025-3-27 16:25:48 | 只看該作者
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發(fā)表于 2025-3-27 21:37:38 | 只看該作者
37#
發(fā)表于 2025-3-27 23:45:57 | 只看該作者
38#
發(fā)表于 2025-3-28 04:57:53 | 只看該作者
Connecting the Dots: Unveiling the Power of Sensors in IoT,ystems, which range from data privacy and security concerns to interoperability and scalability issues. This article, using case studies and industry insights, emphasizes sensors’ revolutionary potential in determining the future of IoT and encouraging a more connected, intelligent, and responsive s
39#
發(fā)表于 2025-3-28 07:39:55 | 只看該作者
40#
發(fā)表于 2025-3-28 12:04:19 | 只看該作者
Customized CNN-Based Condition Monitoring of Road Traffic for Intelligent Transportation Routing,dels (HMMs) are used in time study to get features from video data.?This helps us find and study patterns in a row, and changes. This makes understanding how a car moves over time better.?To make road traffic sorting better, a new type of Custom Hierarchical Convolutional Neural Network (HCNN) is su
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