Research Advances in Intelligent Computing  book cover
1st Edition

Research Advances in Intelligent Computing

  • Available for pre-order. Item will ship after March 2, 2023
ISBN 9781032340517
March 2, 2023 Forthcoming by CRC Press
336 Pages 160 B/W Illustrations

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Book Description

Since the invention of computers or machines, scientists and researchers are trying very hard to enhance their capabilities to perform various tasks. As a consequence, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make the computers or machines as intelligent as human beings. Artificial Intelligence (AI) came up as a way of making a computer or computer software think in the similar manner the intelligent humans think. AI is inspired by the study of human brain like how humans think, learn, decide and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or Intelligent Computing (IC). An IC system has the capability of reasoning, learning, problem solving, perception, and linguistic intelligence. The IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of intelligent computing has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Now a days, the use of IC can also be seen for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agriculture science, predicting market growth in economics, weather forecasting and so on. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes the recent research works have been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems and so on. This book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

Table of Contents

1. RNN Based Machine Translation for Indian Languages by Shashi Pal Singh, Ajai Kumar and Meenal Jain. 2. Dynamic Movie Ticket Price Prediction Using Machine Learning by K Aditya Shastry. 3. Designing a GUI for Offline Text Independent Writer Identification System by Sreejita Chakrabarti and Pawan Kumar Singh. 4. Soil Fertility Prediction using Soft Computing Approach by Yogesh R. Shahare, Mukund Pratap Singh and Sanjeev Kumar. 5. Psychological Distress Detection, Classification and Assistance using AI by Sarah Gawde, Arnab Ghorai, Jeet Mishra and Prof. Dhananjay Kalbande. 6. Fast and Efficient Text Searching in Compressed Data using Burrows Wheeler Transform by Sanjeev Kumar and Mukund Pratap Singh. 7. A Comprehensive Exploration of Brain Tumor Segmentation using Deep Learning Technique by Hariharan R, Mohan R and Arish Pitchai. 8. Hand Sign Recognition using LeNet like Architecture by Hariharan. R, Dhilsath Fathima M and Arish Pitchai. 9. Automated Kinship Recognition through Facial Feature Matching by Gunjan Chhabra and Rashmi Sharma. 10. Ensemble Convolutional Neural Network – Bidimensional EMD Model for ECG Denoising by Parvathy Rema and Dr. Manju.B.R. 11. Wrapper based Feature Selection for Big Data using Multi-core Environment by Subhash Kamble, Arunalatha J S, and Venugopal K R. 12. MDAKB: A Metadata Driven Approach for Multi-Lingual Knowledge Base Generation for Agriculture Domain in the Indian Context by Arulmozhi Varman M and Gerard Deepak. 13. Melanoma Prediction from Skin Lesion using Convolutional Neural Network Against Support Vector Machine Learning Algorithm to Achieve Maximum Accuracy and Minimum Loss by Saravanan. M.S , Pradnya Patil and Sivakumar Ramachandran. 14. Fusion Based Morphological Watershed Segmentation Algorithm for Medical Images by Kavitha K J and Priestly B Shan. 15. Music Recommendation System to Address the Problem of Long Tail Using Multi Stage Graph by M. Sunitha, AdiLakshmi and Yashfeen Zehra. 16. Speech based Access of Agricultural Commodity Prices and Weather Information in Kannada Language/Dialects by Thimmaraja Yadava G., Nagaraja B. G. and H. S. Jayanna. 17. Weather Classification: Image Embedding using Convolutional Autoencoder and Predictive Analysis using Stacked Generalization by A.S. Ghiya, V. Vijay, A. Ranganath, P. Chaturvedi, B.K. Tripathy and Sharmila Banu K. 18. COVID-19 Confirmed Cases Prediction After Vaccination using Deep Learning Models by Nigam Patel, Sahilkumar Narola, Shubham Chaudhari and Vishwa Dave. 19. Recognition Model for Facial Expression Using Machine Learning by Shanmuganathan C, NVSK Vijayalakshmi K and Menaka S. 20. Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets by Arpit Khare, Amisha Gangwar, Sudhakar Singh and Shiv Prakash. 21. Image Generation Using Deep Convolutional Generative Adversarial Networks by Abhishek Aryan, Vignesh Kashyap and Anurag Goel. 22. Person Activity Identification using Artificial Intelligence by Srikanth Bethu, Machikuri Santoshi Kumari, C. Sravani, Suresh Mamidisetti and S. Bhargavi Latha. 23. Heartbeat based Failure Detector of Perfect P Class for Synchronous Hierarchical Distributed Systems by Bhavana Chaurasia, Anshul Verma and Pradeepika Verma.

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Dr. Anshul Verma received M.Tech. and Ph.D. degrees in Computer Science & Engineering from ABV-Indian Institute of Information Technology and Management Gwalior, India. He has done Post-doctorate from Indian Institute of Technology Kharagpur, India. Currently, he is serving as Assistant Professor in Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. He has also served as faculty member in Computer Science & Engineering Department at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and National Institute of Technology (NIT) Jamshedpur, India. His research interests include IoT, Mobile ad-hoc networks, Distributed systems, Formal verification, and Mobile computing. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.

Dr. Pradeepika Verma received her Ph.D. degree in Computer Science & Engineering from Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science & Engineering from Banasthali University, Rajasthan, India. Currently, she is working as Post-Doctoral Fellow in Department of Computer Science & Engineering at Indian Institute of Technology (BHU), Varanasi, India. She is also Associate Professor in Department of Computer Science at K L Deemed to be University, Andhra Pradesh, India and is presently on study leave. Prior to this, she has worked as Assistant Professor in Department of Computer Science & Engineering at Pranveer Singh Institute of Technology, Kanpur, India and as Faculty member in Department of Computer Application at Institute of Engineering and Technology, Lucknow, India. Her current research interests include IoT, Natural Language Processing, Optimization Approaches, and Information Retrieval.

Dr. Kiran Kumar Pattanaik holds Bachelor degree in Electrical & Electronics Engineering followed by Master and Doctorate in Computer Science & Engineering. He is presently working as Associate Professor at ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is enthusiastic about exploring various engineering application domains involving Distributed and Mobile Computing, Wireless Sensor Network protocols, IoT, and Edge Computing. His Wireless Sensor Network laboratory is equipped with the necessary computing facilities (simulation and hardware) and is accessible round the clock for learning. The competitive ambiance of the laboratory is instrumental for a number of public funded research projects and high impact factor research publications. Dr. Pattanaik (Senior Member of IEEE) is a reviewer for several leading Journals in the areas of communication and networking.

Dr. Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He is skilled in solving complex problems using machine learning and data analytics, especially from medicine and healthcare domain. He has published over 90 technical papers in refereed high impact journals, conferences and books and has more than 622 citation count to publications, and some of his articles awarded best paper awards. He has delivered more than 20 keynote speeches in different countries, organised/chaired/co-chaired 16 international conferences and contributed as a technical committee member or a reviewer of several high impact journals and reputed conferences. He is awarded research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK. He completed his Post Graduate in Information Technology from ABV-IIITM, Gwalior, India and his first degree in Electronics and Communication Engineering from Barkatullah University, Bhopal, India. He has also consulted numerous public and private organisations for their information system implementations.