Titlebook: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T

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A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CR CRC has become the second most prevailing sort of cancer in the human race. But CRC until now remains linked to a poor diagnosis in patients with severe illness. The concern for early detection drew researchers’ consciousness to a variety of machine learning-based methods. Semi-Supervised Learning

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Machine Learning Models to Analyze the Effect of Drugs on Neonatal-ICU Length of Stayictive models will help to indicate the seriousness of the patients and assist the doctors in taking immediate actions. The Medical Information Mart for Intensive Care III (MIMIC-III) dataset is used in this research. The medicines medicated in critical newborn children were detected, and how the dr

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Ensemble Classifiers for a 4-Way Classification of Alzheimer’s Diseaseto its ability to rapid learning of end-to-end models accurately using compound data. Recent years have seen an extensive application of Deep Learning (DL) models in solving the 4-way classification of Alzheimer’s Disease (AD) and achieved good results too. However, traditional machine learning clas

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/a/image/159886.jpg

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https://doi.org/10.1007/978-3-031-24801-6Computer Science; Informatics; Conference Proceedings; Research; Applications

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978-3-031-24800-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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,Strategie und Geschäftsmodell,and analyses the human activity of continuous frame or video sequence data from various sensors. Human activity such as walking, standing, running, sitting, jogging, interaction and so on is a good representation. The human activity contains such inter-class differences, intra-class similarities and