Titlebook: Machine Intelligence and Smart Systems; Proceedings of MISS Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta Conference proceedings 2022 Th

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An E-healthcare System Using IoT and Edge Computing,sease, personalized caring, etc. In this direction, we build a test bed using IoT and edge computing that use Raspberry Pi as an edge device to filter ordinary data and transfer only the relevant data to the cloud. The results were analyzed in terms of latency between IoT devices and cloud/edge locations.

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Deep Learning-Based Differential Distinguisher for Lightweight Ciphers GIFT-64 and PRIDE,graphic distinguishers against lightweight block ciphers GIFT-64 and PRIDE. Our experiments assert the capability of ML-based techniques in development of cryptographic distinguishers for block ciphers. Through our experiments, we have been able to reduce the attack complexity in comparison to earlier published results.

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Autism Detection Using Machine Learning Approach: A Review,stage. Our previous work concentrated on the diagnosing and screening methods of autism. Here, we step on to the next stage, i.e., review recent articles using machine learning (ML) approaches. In this paper, we aimed to present a review analysis to detect autism spectrum disorder (ASD) from 2016 to 2020.

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2524-7565 rence resource for researchers and practitioners in academiaThis book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The