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hassanien enabling ai applications data science 2021

Type:: E-books
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Textbook in PDF format This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science. Table of contents Stochastic SPG with Minibatches The Human Mental Search Algorithm for Solving Optimisation Problems Reducing Redundant Association Rules Using Type-2 Fuzzy Logic Identifiability of Discrete Concentration Graphical Models with a Latent Variable An Automatic Classification of Genetic Mutations by Exploring Different Classifiers Towards Artificial Intelligence: Concepts, Applications, and Innovations In Depth Analysis, Applications and Future Issues of Artificial Neural Network Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities Edge Detector-Based Hybrid Artificial Neural Network Models for Urinary Bladder Cancer Diagnosis Predicting Building-Related Carbon Emissions: A Test of Machine Learning Models Artificial Intelligence System for Breast Cancer Screening Based on Malignancy-Associated Changes in Buccal Epithelium The Role of Artificial Intelligence in Company’s Decision Making The Virtues and Challenges of Implementing Intelligent ‘Student-Success-Centered’ System Boosting Traditional Healthcare-Analytics with Deep Learning AI: Techniques, Frameworks and Challenges Factors Influencing Electronic Service Quality on Electronic Loyalty in Online Shopping Context: Data Analysis Approach IoT Sensor Data Analysis and Fusion Internet of Things Sensor Data Analysis for Enhanced Living Environments: A Literature Review and a Case Study Results on Air Quality Sensing Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches Geo-Spatiotemporal Intelligence for Smart Agricultural and Environmental Eco-Cyber-Physical Systems SaveMeNow.AI: A Machine Learning Based Wearable Device for Fall Detection in a Workplace Fraud Detection in Networks Biomorphic Artificial Intelligence: Achievements and Challenges Medical Data Protection Using Blind Watermarking Technique An Artificial Intelligence Authentication Framework to Secure Internet of Educational Things A Malware Obfuscation AI Technique to Evade Antivirus Detection in Counter Forensic Domain An Artificial Intelligence Resiliency System (ARS)

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hassanien enabling ai applications data science 2021

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