Titlebook: Enabling AI Applications in Data Science; Aboul-Ella Hassanien,Mohamed Hamed N. Taha,Nour El Book 2021 The Editor(s) (if applicable) and T

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Identifiability of Discrete Concentration Graphical Models with a Latent Variablepresume that the input graphical models are represented by undirected graphs, and the aim is to determine whether they are identifiable or not. Since a distribution . can be completely characterized by its moments, we decide a model as identifiable if it can be uniquely represented in terms of its m

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An Automatic Classification of Genetic Mutations by Exploring Different Classifiersine. We collected the dataset from a Kaggle competition which distributes the three features, Gene, Variation and Text into nine different classes. These classes are provided by genomic researchers which state whether a particular mutation is a driver (cancer causing mutation) or a passenger (neutra

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Gum-Disease

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Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture vision framework. The lead of DL has been applied to several scopes leading to massive fulfillment in the field of artificial intelligence and computer vision. Human society needs nutrition production and nutrition plant to meet the growing and increasing population. Automatic leaf plant malady det

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ACRID

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Predicting Building-Related Carbon Emissions: A Test of Machine Learning Modelshe models took into account five input parameters influencing building-related CO. emissions: urbanisation, R&D, population size, GDP, and energy use. The study used quarterly data throughout 1971Q1–2014Q4 to develop, calibrate, and validate the models. Each model was developed using 140 observation

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Artificial Intelligence System for Breast Cancer Screening Based on Malignancy-Associated Changes insion of chromatin in Feulgen-stained nuclei of buccal epithelium. The AI system consists of three models: morphological pre-processing of images, feature extraction and classification. This system implement the traditional approach to AI, based on machine learning that provides high performance on l

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