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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2522-8595 amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.??Authors include researchers, academics, and professionals in the field..978-3-031-23604-4978-3-031-23602-0Series ISSN 2522-8595 Series E-ISSN 2522-8609

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Comparative Analysis of Handwritten Digit Recognition Investigation Using Deep Learning Modelquations, all neurons in one layer generally produce routine arithmetic computations, and that’s how a layer initially comes. The training and classification of Machine Learning methods were chosen from the MNIST database, and the findings were enhanced using an improving method.

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Analysis on Identification and Detection of Forgery in Handwritten Signature Using CNNese models are facing high ToC (Time of Conversion) issues. The average accuracy is about 83.3%, sensitivity 99.2, recall 98.24, F score 97.23, and throughput 98.91 had been attained. Those improved results were more accurate than earlier models.

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Book 2023thors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.??Authors include researchers, academics, and professionals in the field..

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Die prozessuale Relevanz der Ansprüchect 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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