Titlebook: Artificial Intelligence for Smart Healthcare; Parul Agarwal,Kavita Khanna,Zdzislaw Polkowski Book 2023 The Editor(s) (if applicable) and T

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The Steel Sector in the Global Economy authenticate the recipient. Hence, in this manuscript, the EEG data compression and encryption technique is presented together. Huffman adaptive coding and encryption are performed using the 256-bit AES (CBC) system. The suggested technique shows that compression and encryption performance on the CHB-MIT Scalp EEG database is improved.

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A Solution to Pose Change Challenge: Real-Time, Robust, and Adaptive Human Tracking Systems Using SUct model and this information is used by a SURF-based tracker. Later to differentiate between pose change and occlusion situation an auto-tuned classifier is implemented. The algorithm developed in this chapter is adaptive, robust, and computable in real time. The experiments are conducted in indoor/outdoor environments.

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A Brain Seizure Diagnosing Remotely Based on EEG Signal Compression and Encryption: A Step for Teleh authenticate the recipient. Hence, in this manuscript, the EEG data compression and encryption technique is presented together. Huffman adaptive coding and encryption are performed using the 256-bit AES (CBC) system. The suggested technique shows that compression and encryption performance on the CHB-MIT Scalp EEG database is improved.

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Web-Based Augmented Reality of Smart Healthcare Education for Machine Learning-Based Object Detectiollations and gives the user feature to find information about the celestial body. This feature will display details like visibility, declination, etc. This feature holds good for the 88 constellations visible from the earth and eight planets in our solar system.

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Book 2023vely function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and i

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2522-8595 ntelligence in healthcare.Discusses various machine learning.This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisa

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Predictive Modelling for Healthcare Decision-Making Using IoT with Machine Learning Modelst their primary stage to start appropriate treatments for better results. High demand rises for investigating detailed clinical data, report summary, and medical imaging. Within a short time, it should be done with promptness. Machine Learning (ML) methods are brought to the limelight because of the