1st Edition

Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI​, ​Selected Papers from CIAIS-2021

    488 Pages 2 Color & 149 B/W Illustrations
    by Apple Academic Press

    488 Pages 2 Color & 149 B/W Illustrations
    by Apple Academic Press

    The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance, automate, and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address:

    • Computational Intelligence in Image Processing
    • Computational Intelligence in Healthcare
    • Techniques for Natural Language Processing
    • Computational Intelligence in Smart Cities

    The very diverse range of topics include AI and machine learning applications for

    • In security: For using digital image processing for image fusion (face recognition, feature extraction, object detection as well tracking, moving object identification), for person re-identification for security purposes.
    • In healthcare and medicine: For diagnosis and prediction of breast cancer, other cancers, diabetes, heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders.
    • In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation.
    • In traffic science/smart cities: For understanding road scene images, for detection of traffic signs, for devising a fog-based intelligent traffic phase timing regulation system
    • In language/speech/text: For automatic text summarization, for document indexing for unstructured data, for speech/accent recognition, for sound separation, for American Sign Language interpretation for nonsigners, for emotional recognition and analysis through speech, body postures with facial expressions, and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech, body postures with facial expressions and other body movements.

    This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas.

    These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India. Together with Volume 2: Advances in Digital Transformation, this 2-volume set offers an abundacne of valuable information on emerging technologies in computational intelligence in information systems focusing on data science and artificial intelliegence.


    1. A Study of Issues and Challenges with Digital Image Processing

    Urmila Pilania, Ankit Dagar, Sagar Aggarwal, and Aditya Pathak

    2. A Methodical View of Prerequisites of Picture Combination, Strategies, Key Indicators with Usage in Real Life and Scientific Domains Facilitating Smart Ubiquitous Environment

    Vineeta Singh and Vandana Dixit Kaushik

    3. A Study of Emerging Issues and Possibilities for Breast Cancer Diagnosis Using Image Modalities

    Ankur Kumar Aggarwal and Mrinal Pandey

    4. Pap Smear Image Segmentation Using Chan-Vese Based Adaptive Primal Dual Splitting Algorithm

    B. Chitra and S. S.Kumar

    5. Satellite Image Compression by Random Forest Optimization Techniques and Performance Comparison Using Multispectral Image Compression Method

    Srikanth Bethu, Sanjana Vasireddy, D. Ushasree, Md Asrar Ahmed, and P. Vara Prasad

    6. Learning Spatio-Temporal Features for Movie Scene Retrieval Using a 3D Convolutional Autoencoder

    Vidit Kumar, Vikas Tripathi, and Bhaskar Pant

    7. Person Reidentification Using Deep Learning and Neural Networks

    Parneeta Dhaliwal, Riya Sapr, Rishabh Dhiman, and Abhyuday Gupta


    8. A Systematic Literature Review in Health Informatics Using Data Mining Techniques

    Anjali Mehta and Dr. Deepa Bura

    9. Utilization of Artificial Intelligence Based Methods for Preoperative Prediction in Shoulder Arthroplasty: Survey

    Milind Tote and Dr. Shrikant V. Sonekar

    10. Role of Computer-Based Intelligence for Prognostication a Social Well-Being and Identifying Frailty and Drawbacks

    Sandeep Gupta, Nitin Tyagi, Manjula Jain, Shekhar Singh, and Krishan Kumar Saraswat

    11. Health Informatics Support for Occurrence Administration Using Artificial Intelligence and Deep Learning: COVID-19 Pandemic Response

    Akshat Jain, Ritu Pal, and Jagdish Chandra Patni

    12. Machine Learning Approach for Prediction Analysis of COVID-19

    Vaishali Garg, Khushboo Tripathi, and Deepthi Sehrawat

    13. Assessment of Generalized Anxiety Disorder and Mood Disorder in Undergraduate Students during the Coronavirus Disease (COVID-19) Pandemic

    Devesh Kumar Upadhyay, Subrajeet Mohapatra, and Niraj Kumar Singh

    14. Evaluation of Deep Learning Models for Medical Tools Classification

    Shweta Bali and S. S Tyagi

    15. Cervical Cancer Diagnosis and Prediction: An Application of Machine Learning Techniques

    Mamta Arora, Sanjeev Dhawan, and Kulvinder Singh

    16. The Working Analysis on Machine Learning Algorithms to Predict Diabetes and Breast Cancer

    Srikanth Bethu, Vempati Krishna, Boda Sindhuja, Damarla Lakshmi Rohita, and P Gopala Krishna

    17. An Ensemble of AdaBoost with Multilayer Perceptron for Heart Disease Prediction

    Syed Heena Andrabi, Mrinal Pandey, and Ram Chatterjee


    18. An Empirical Study of Text Summarization Techniques Using Extractive Approaches

    Sumita Gupta and Mohit Gambhir

    19. Design and Comparative Analysis of Inverted Indexing of Text Documents

    Gunjan Chandwani, Sarika Narender, and Meena Chaudhary

    20. Acoustic Musical Instrument Recognition

    Usha Mittal, Pooja Rana, Dilpreet Singh, and Priyanka Chawla

    21. Classification of Accented Voice Using RNN and GAN

    Archit Prashant Patil, Parikansh Ahluwalia, Siddharth Yadav, and Preeti Kaur

    22. Speech Emotion Recognition Using LSTM

    Sarika Gaind, Shubham Budhiraja, Deepak Gauba, and Ms. Manpreet Kaur

    23. Interpretation of American Sign Language Using Convolutional Neural Networks

    Vikas Thada, Utpal Shrivastava, and Apresh Agrawal

    24. Emotional Intelligence: An Approach to Analyze Stress Using Speech and Face Recognition

    Shambhavi Mishra, Seeripi Naga Surya, and Sumita Gupta

    25. Proposed Integrated Framework for Emotion Recognition: A Futuristic Approach

    Ramesh Narwal and Dr. Himanshu Aggarwal


    26. A Review on Machine Learning Techniques for Human Actions Recognition

    Diana Nagpall and Dr. Rajiv Kumar

    27. Fog-Based Intelligent Traffic Phase Timing Regulation System

    Sahil and Sandeep Kumar Sood

    28. Deep Learning Classification Model for Detection of Traffic Signs

    Vikas Thada, Utpal Shrivastava, Gitika, and Garima

    29. Understanding Road Scene Images Using CNN Features

    Anamika Maurya and Satish Chand

    30. Profitable Crop Prediction for the State of Odisha Using Machine Learning Algorithms

    Vaibhav Sinha, Preeti Mishra, and Junali Jasmine Jena

    31. CapGAN: IoT-Based Cropping Patterns Prediction and Recommendation for Crop Cultivation

    Sathya K. and Rajalakshmi M.


    Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University, Faridabad, India. With over 10 years of teaching and research experience, he focuses on data mining, dynamic graph mining, machine learning and big data analytics.

    Manpreet Kaur, PhD, is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. Her current research is on machine learning, deep learning, and natural language processing.

    Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also Head of the Research Cluster of Computing (RCC) to facilitate students in their research projects.

    Rajeev Kumar Arya, PhD, is an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuit design.

    Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering in the Centre of High Intelligent Computing at the University of Huddersfield, UK, having previously been team leader in the IT Department of the Charlesworth Group.