Table Of ContentResearch Advances in Intelligent
Computing
Since the invention of computers and other similar machines, scientists and research-
ers have been 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 these machines as intelligent as
human beings. Artificial intelligence (AI) came up as a way of making a computer
or computer software think in a similar manner to the way that intelligent humans
think. AI is inspired by the study of human brain, including 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 capabilities of reasoning, learning, problem-solving, percep-
tion, and linguistic intelligence. IC systems consist of AI techniques as well as other
emerging techniques that make a system intelligent. The use of IC has been seen in
almost every sub-domain of computer science such as networking, software engi-
neering, gaming, natural language processing, computer vision, image processing,
data science, robotics, expert systems, and security. Nowadays, 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
agricultural science, predicting market growth in economics, and weather forecast-
ing. For all these reasons, this book presents the advances in AI techniques, under the
umbrella of IC. In this context, the book includes recent research that has been done
in the areas of machine learning, neural networks, deep learning, evolutionary algo-
rithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book
discusses the theoretical, algorithmic, simulation, and implementation-based recent
research advancements related to IC.
Research Advances in
Intelligent Computing
Edited by
Anshul Verma, Pradeepika Verma,
Kiran Kumar Pattanaik, and Lalit Garg
First edition published 2023
by CRC Press
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and by CRC Press
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CRC Press is an imprint of Taylor & Francis Group, LLC
© 2023 selection and editorial matter, Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik and
Lalit Garg; individual chapters, the contributors
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Library of Congress Cataloging–in–Publication Data
Names: Verma, Anshul, editor. | Verma, Pradeepika, editor. | Pattanaik,
Kiran Kumar, editor. | Garg, Lalit, 1977- editor.
Title: Research advances in intelligent computing / edited by Anshul Verma,
Pradeepika Verma, Kiran Kumar Pattanaik and Lalit Garg.
Description: First edition. | Boca Raton, FL : CRC Press, 2023. | Includes
bibliographical references and index.
Identifiers: LCCN 2022039584 (print) | LCCN 2022039585 (ebook) |
ISBN 9781032340517 (hbk) | ISBN 9781032340524 (pbk) |
ISBN 9781003320340 (ebk)
Subjects: LCSH: Expert systems (Computer science) | Artificial intelligence.
Classification: LCC QA76.76.E95 R474 2023 (print) | LCC QA76.76.E95
(ebook) | DDC 006.3/3--dc23/eng/20221114
LC record available at https://lccn.loc.gov/2022039584
LC ebook record available at https://lccn.loc.gov/2022039585
ISBN: 978-1-032-34051-7 (hbk)
ISBN: 978-1-032-34052-4 (pbk)
ISBN: 978-1-003-32034-0 (ebk)
DOI: 10.1201/9781003320340
Typeset in Times
by KnowledgeWorks Global Ltd.
Contents
Preface.......................................................................................................................ix
Acknowledgments .....................................................................................................xi
About the Editors ...................................................................................................xiii
List of Contributors ..................................................................................................xv
Chapter 1 RNN-Based Machine Translation for Indian Languages .....................1
Shashi Pal Singh, Ajai Kumar, and Meenal Jain
Chapter 2 Dynamic Movie Ticket Price Prediction Using Machine
Learning .............................................................................................13
Kibballi Aditya Shastry
Chapter 3 Designing a GUI for Offline Text-Independent Writer
Identification System ..........................................................................27
Sreejita Chakrabarti and Pawan Kumar Singh
Chapter 4 Soil Fertility Prediction Using a Soft Computing Approach .............41
Yogesh R. Shahare, Mukund Pratap Singh,
and Sanjeev Kumar
Chapter 5 Psychological Distress Detection, Classification
and Assistance Using AI ....................................................................53
Sarah Gawde, Arnab Ghorai, Jeet Mishra,
and Dhananjay Kalbande
Chapter 6 Fast and Efficient Text Searching in Compressed Data
Using Burrows–Wheeler Transform ..................................................73
Sanjeev Kumar and Mukund Pratap Singh
Chapter 7 A Comprehensive Exploration of Brain Tumor
Segmentation Using Deep Learning Techniques ...............................83
Hariharan Ramamoorthy, Mohan Ramasundaram,
and Arish Pitchai
Chapter 8 Hand Sign Recognition Using LeNet-like Architecture ..................101
Hariharan Ramamoorthy, Dhilsath Fathima Mohamed Mohideen,
and Arish Pitchai
v
vi Contents
Chapter 9 Automated Kinship Recognition through Facial
Feature Matching .............................................................................113
Gunjan Chhabra and Rashmi Sharma
Chapter 10 Ensemble Convolutional Neural Network: A Bidimensional
EMD Model for ECG Denoising ......................................................125
Parvathy Rema and Manju Bhaskara Panicker Radha
Chapter 11 Wrapper-Based Feature Selection for Big Data Using a
Multi-Core Environment ..................................................................143
Subhash Kamble, Arunalatha Jakkanahally Siddegowda,
and Venugopal Kuppanna Rajuk
Chapter 12 MDAKB: A Metadata-Driven Approach for Multilingual
Knowledge Base Generation for Agricultural Domains
in the Indian Context ........................................................................153
Arulmozhi Varman Murugesan and Gerard Deepak
Chapter 13 Melanoma Prediction from Skin Lesions Using
Convolutional Neural Network against the Support Vector
Machine Learning Algorithm to Achieve Maximum
Accuracy and Minimum Loss ..........................................................163
Saravanan Madderi Sivalingam, Pradnya Patil,
and Sivakumar Ramachandran
Chapter 14 Fusion-Based Morphological Watershed Segmentation
Algorithm for Medical Images .........................................................173
Kavitha Kattigehalli Jayanna and Priestly B. Shan
Chapter 15 Music Recommendation System to Address the Problem
of Long Tail Using Multi-Stage Graph ............................................185
Mallannagari Sunitha, Thondepu Adilakshmi,
and Yashfeen Zehra
Chapter 16 Speech-Based Access of Agricultural Commodity
Prices and Weather Information in the Kannada
Language and Its Dialects ................................................................199
Thimmaraja Yadava Gopalappa, Nagaraja Benageri
Gnaneshwara, and Haradagere Siddaramaiah Jayanna
Contents vii
Chapter 17 Weather Classification: Image Embedding Using
Convolutional Autoencoder and Predictive Analysis
Based on Stacked Generalization .....................................................211
Anish Sudhir Ghiya, Vaibhav Vijay, Aditi Ranganath,
Prateek Chaturvedi, Sharmila Banu Kather,
and Balakrushna Tripathy
Chapter 18 COVID-19 Confirmed Case Prediction after Vaccination
Using Deep Learning Models ..........................................................225
Nigam Patel, Sahil Kumar Narola, Shubham Chaudhari,
and Vishwa Dave
Chapter 19 Recognition Model for Facial Expression Using
Machine Learning ............................................................................241
Shanmuganathan Chandrasekaran, Menaka Suman,
and N. V. S. K. Vijayalakshmi Kathari
Chapter 20 Sentiment Analysis and Sarcasm Detection in Indian
General Election Tweets ...................................................................253
Arpit Khare, Amisha Gangwar, Sudhakar Singh,
and Shiv Prakash
Chapter 21 Image Generation Using Deep Convolutional Generative
Adversarial Networks .......................................................................269
Abhishek Aryan, Vignesh Kashyap, and Anurag Goel
Chapter 22 Human Activity Identification Using Artificial Intelligence ............279
Srikanth Bethu, Machikuri Santoshi Kumari,
Chintha Sravani, Srinivasulu Gari Bhargavi Latha,
and Suresh Mamidisetti
Chapter 23 Heartbeat-Based Failure Detector of Perfect P Class
for Synchronous Hierarchical Distributed Systems .........................293
Bhavana Chaurasia, Anshul Verma,
and Pradeepika Verma
Index ......................................................................................................................311
Preface
OVERVIEW AND GOALS
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 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 reason-
ing, 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 IC has been seen in almost every sub-domain of computer sci-
ence such as networking, software engineering, gaming, natural language processing,
computer vision, image processing, data science, robotics, expert systems, and secu-
rity. Nowadays, 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 fer-
tility or crop productivity in agriculture science, predicting market growth in econom-
ics, and weather forecasting. 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 that 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 IC.
TARGET AUDIENCE
This book will be beneficial for academicians, researchers, developers, engineers,
and practitioners working in or interested in the research trends and applications of
artificial and computational intelligence. This book is expected to serve as a refer-
ence book for developers and engineers working in the intelligent computing domain
and for a graduate/postgraduate course in Computer Science and Engineering/
Information Technology.
ix
