Enabling AI Applications in Data Science 1st edition by Aboul Ella Hassanien, Mohamed Hamed N Taha, Nour Eldeen M Khalifa 3030520670 9783030520670

Enabling AI Applications in Data Science 1st edition by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa – Ebook PDF Instant Download/DeliveryISBN:  3030520670, 9783030520670 

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Product details:

ISBN-10 :  3030520670 

ISBN-13 :  9783030520670

Author:  Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa 

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.

Enabling AI Applications in Data Science 1st table of contents:

1. Artificial Intelligence and Optimization
2. Stochastic SPG with Minibatches
3. The Human Mental Search Algorithm for Solving Optimisation Problems
4. Reducing Redundant Association Rules Using Type-2 Fuzzy Logic
5. Identifiability of Discrete Concentration Graphical Models with a Latent Variable
6. An Automatic Classification of Genetic Mutations by Exploring Different Classifiers
7. Towards Artificial Intelligence: Concepts, Applications, and Innovations
8. Big Data and Artificial Intelligence Applications
9. In Depth Analysis, Applications and Future Issues of Artificial Neural Network
10. Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture
11. Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities
12. Edge Detector-Based Hybrid Artificial Neural Network Models for Urinary Bladder Cancer Diagnosis
13. Predicting Building-Related Carbon Emissions: A Test of Machine Learning Models
14. Artificial Intelligence System for Breast Cancer Screening Based on Malignancy-Associated Changes in Buccal Epithelium
15. The Role of Artificial Intelligence in Company’s Decision Making
16. The Virtues and Challenges of Implementing Intelligent ‘Student-Success-Centered’ System
17. Boosting Traditional Healthcare-Analytics with Deep Learning AI: Techniques, Frameworks and Challenges
18. Factors Influencing Electronic Service Quality on Electronic Loyalty in Online Shopping Context: Data Analysis Approach
19. IOT within Artificial Intelligence and Data Science
20. IoT Sensor Data Analysis and Fusion
21. Internet of Things Sensor Data Analysis for Enhanced Living Environments: A Literature Review and a Case Study Results on Air Quality Sensing
22. Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study
23. IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches
24. Geo-Spatiotemporal Intelligence for Smart Agricultural and Environmental Eco-Cyber-Physical Systems
25. SaveMeNow.AI: A Machine Learning Based Wearable Device for Fall Detection in a Workplace
26. Artificial Intelligence and Security
27. Fraud Detection in Networks
28. Biomorphic Artificial Intelligence: Achievements and Challenges
29. Medical Data Protection Using Blind Watermarking Technique
30. An Artificial Intelligence Authentication Framework to Secure Internet of Educational Things
31. A Malware Obfuscation AI Technique to Evade Antivirus Detection in Counter Forensic Domain
32. An Artificial Intelligence Resiliency System (ARS)

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Tags: Enabling, Applications, Data Science, Ella Hassanien, Mohamed Hamed, Nour Eldeen Khalifa