Titlebook: Advances in IoT and Security with Computational Intelligence; Proceedings of ICAIS Anurag Mishra,Deepak Gupta,Girija Chetty Conference proc

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Statistical Analysis—Measurement Errorata and efficient learning algorithms. In this paper, we incorporated activities of daily living data for recognizing gait using multiple shallow and ensemble learning models. The proposed model includes various state-of-the-art human activity recognition datasets in order to create a gait recogniti

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Sameer J. Shah MD,Preetham Suresh MDn help assist an organization to self-assess their business practices and marketing messages, in terms of presence in the social media channels, company documents, and refine their corporate vision and responsibility statements appropriately.

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James Phillips,Seth Herway,Alyssa Brzenskiding function. In this paper, 3 progressive algorithms are presented with their particular challenges and shortcomings. Of these, the third algorithm is the main successful implementation of this thresholding technique.

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Conference proceedings 2023h AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies

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2367-3370 a.Serves as a reference for researchers and practitioners in.The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New De

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Overview of the Halsted-Reitan Battery, architectures, and commonly used assessment measures, we also classify implementation and reproducibility. Our objective is to assist interested researchers in keeping up with the newest developments and reproducing earlier investigations as benchmarks. In addition, we also indicate future research directions for this topic.