| Description |
1 online resource (387 p.) |
| Contents |
Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Editors' Biographies -- List of Contributors -- Chapter 1 Introduction to Artificial Intelligence -- Chapter 2 AI and Human Cognizance -- Chapter 3 Integration of Artificial Intelligence with IoT for Smarter Systems: A Review -- Chapter 4 Influence of Artificial Intelligence in Robotics -- Chapter 5 A Review of Applications of Artificial Intelligence and Robotics in the Medical and Healthcare Sector -- Chapter 6 Impact of the AI-Induced App 'Babylon' in the Healthcare Industry |
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Chapter 7 Identification and Prediction of Pneumonia from CXR Images Using Deep Learning -- Chapter 8 Pulmonary Cancer Detection Using Deep Convolutional Networks -- Chapter 9 Breast Cancer Prediction Using Machine Learning Algorithms -- Chapter 10 Breast Cancer Histopathological Images Classification Using Deep Learning -- Chapter 11 Machine Learning and Signal Processing Methodologies to Diagnose Human Knee Joint Disorders: A Computational Analysis -- Chapter 12 Diagnostics and Treatment Help to Patients at Remote Locations Using Edge and Fog Computing Techniques |
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Chapter 13 Image Denoising Using Autoencoders -- Chapter 14 Genetic Disorder Prediction Using Machine Learning Techniques -- Chapter 15 Bayesian Models in Cognitive Neuroscience -- Chapter 16 Knowledge Representation in AI -- Chapter 17 ANN Model for Analytics -- Chapter 18 AI and Real-Time Business Intelligence -- Chapter 19 Introduction to Statistics and Probability -- Chapter 20 Real Impacts of Machine Learning in Business -- Chapter 21 A Study on the Application of Natural Language Processing Used in Business Analytics for Better Management Decisions: A Literature Review |
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Chapter 22 Detection of Polarity in the Native-Language Comments of Social Media Networks -- Chapter 23 Machine Learning Techniques for Detecting and Analyzing Online Fake Reviews -- Chapter 24 A Study on the Application of Expert Systems as a Support System for Business Decisions: A Literature Review -- Chapter 25 Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector: An Overview -- Chapter 26 Prediction of Terrorist Attacks throughout the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms |
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Chapter 27 Deep Learning Approach for Identifying Bird Species -- Chapter 28 AI in the Energy Sector -- Chapter 29 Artificial Intelligence in Fashion Design and IPRS -- Chapter 30 Artificial Intelligence in Education: A Critic on English Language Teaching -- Chapter 31 Review of Learning Analytics Techniques and Limitations in Higher Education: A 21st-Century Paradigm -- Index |
| Summary |
The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles |
| Notes |
Description based upon print version of record |
| Subject |
Artificial intelligence.
|
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Decision making -- Data processing
|
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artificial intelligence.
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Artificial intelligence.
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Decision making -- Data processing.
|
| Form |
Electronic book
|
| Author |
Rodriguez, Raul V
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Subramaniam, Umashankar
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Balas, Valentina Emilia
|
| ISBN |
9781000934595 |
|
1000934594 |
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