The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth.

Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies
Discusses about Smart Computational abilities and self-adaptive systems
Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data
Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems
Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth

This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

chapter 1|25 pages

Using Luong and Bahdanau Attention Mechanism on the Long Short-Term Memory Networks

A COVID-19 Impact Prediction Case Study
ByVinayak Ashok Bharadi, Sujata S. Alegavi

chapter 2|20 pages

A Novel Missing Data Imputation Algorithm for Deep Learning-Based Anomaly Detection System in IIoT Networks

ByAncy Jose, S.V. Annlin Jeba, Beulah Joslyn Jose

chapter 3|20 pages

Internet of Things

Concept, Implementations and Applications
ByRobina Gujral Bagga, Alok Mishra, Kumar Anubhav Tiwari

chapter 4|16 pages

Output-Oriented Multi-Pane Mail Booster

Data Crawling and Results in All Category Panes of a Mail
ByS. Hrushikesava Raju, V. Lakshmi Lalitha, Praveen Tumuluru, N. Sunanda, S. Kavitha, Saiyed Faiayaz Waris

chapter 5|13 pages

Eyesight Test through Remote Virtual Doctor Using IoT

ByS. Hrushikesava Raju, Lakshmi Ramani Burra, Saiyed Faiayaz Waris, V. Lakshmi Lalitha, S. Dorababu, S. Kavitha

chapter 6|23 pages

Recent Trends and Advances in Deep Learning-Based Internet of Things

ByDeepinder Kaur, Gaganpreet Kaur, Gurdip Kaur

chapter 7|12 pages

Prediction and Classification Analysis of Type-2 Diabetes Using Machine Learning Approaches

ByRitu Aggarwal, Zdzislaw Polkowski

chapter 8|20 pages

Internet of Thing-Based Monitoring Systems and Their Applications

ByN. Vijayalakshmi, S. Sindhu, J. Dhilipan

chapter 9|16 pages

A Progressive Method to Monitor Power Using IoT

ByS. Suriya, Agusthiyar Ramu, J. Shyamala Devi

chapter 10|44 pages

Cognitive Computing-Powered, NLP-Based, Autonomous Question-Answering System

ByAtul Prakash Prajapati, D. K. Chaturvedi

chapter 11|17 pages

Smart Cities and Industry 4.0

ByP.M. Kavitha, M. Anitha

chapter 12|20 pages

Deep Learning Approach in Malware Hunting

ByP. M. Kavitha, B. Muruganantham

chapter 13|21 pages

Prediction of Breast and Lung Cancer, Comparative Review and Analysis Using Machine Learning Techniques

ByArun Solanki, Sandeep Kumar, C. Rohan, Simar Preet Singh, Akash Tayal