1st Edition

Computational Intelligence in Analytics and Information Systems 2-volume set

    990 Pages 16 Color & 267 B/W Illustrations
    by Apple Academic Press

    This new two-volume addresses a number of state-of-the-art developments and unsolved open issues in the field of computational intelligence.

    Volume 1 focuses on data science and artificial intelligence. It highlights the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The chapters present diverse application of computer intelligence and machine learning in security, healthcare and medicine, agriculture, traffic science/smart cities, and language and text conversion.

    Volume 2 demonstrates empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, satellite communication technology, ant colony optimization algorithms, etc.

    Together, these two volumes offer new research on presented by young and dynamic researchers and experts from industry and academia, sharing a plethora of new and emerging technologies that support their effective operations in computational intelligence in information systems.

    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.



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

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

    2. A Methodical View on 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 3d Convolutional Autoencoder

    Vidit Kumar, Vikas Tripathi, and Bhaskar Pant

    7. Person Re-Identification 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 a Convolutional Neural Network

    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

    Dr Vikas Thada, Mr. Utpal Shrivastava, Ms Gitika, and Ms 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

    K. Sathya and M. Rajalakshmi



    1. Communication Services for Social Connection: A Proposed Market for WIPRO

    Kuldeep Singh, Madhvendra Misra, and Jitendra Yadav

    2. Assistive Technology as a Potential Aid for Disability and Health: A Critical Analysis

    Riya Aggarwal, Nancy Girdhar, and Alpana

    3. A Study on a Water-Body-Based Robotics Waste Management System

    Sazid Ali, Firdous Shamim, Ritam Mukherjee, Anwesha Das, Aninda Chowdhury, and Riya Sil

    4. An Analysis of City Command Centers (CCCs) of Indian Smart Cities

    Amara Aditya, Rohit Tanwar, and Mrinal Goswami

    5. Design of a Vehicle Pollution Detection System Using IoT

    Akshi Goswami, Parul Tomar, and Sapna Gambhir

    6. Fog Computing: The Next Generation Computing Paradigm

    Dr. Sapna Gambhir, Parul Toma, and Parkhi Jain

    7. Logical Study of Predictions and Gathering Methodologies to Enhance Co-Clustering Formulation from a Period of Change Information in Machine Learning

    Ganesh Gupta, Vivek Sharma, and Tanuj Joshi

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

    Diana Nagpal and Rajiv Kumar

    9. Proposed Intelligent Vehicular Accident Detection and Alerting Based on the Internet of Things

    Deepshikha Agarwal

    10. Intelligent Spectacles for Accident Prevention

    Srikant Sonekar, Gaurav Habad, Kruti Sontakke, Gaurav Kshirsagar, Harshal Bhoyar, and Abhishek Barve

    11. Impact of Co-Doping on Armchair Silicene Nanoribbon Using AI and P: A Potential Material for Efficient Computing

    Saurabh Kharwar and Sangeeta Singh

    12. DOIFCM: An Outlier Efficient IFCM

    Sonika Dahiya and Anjana Gosain

    13. Assessment of Document Clustering and Topic Modelling of Blockchain Adoption by the E-Sports Community

    Jitendra Yadav, Madhvendra Misra, and Kuldeep Singh

    14. A Novel Hybrid Sampling Algorithm to Deal with Imbalanced Datasets

    Deepika Singh, Anju Saha, and Anjana Gosain

    15. A Study on Analysis of E-Commerce Application on Online Healthcare

    Rajib Nag, Niloy Dev, and Riya Sil

    16. A Computational Approach to Detect the Incipient Cracks of Bearing in a Magnetic Particle Inspection Process

    Junaid Ali, Vansh Khera, and Anudruti Singha


    17. Comparison of Novel STE-AMM and EDES-ACM Framework with a Standard Cryptography Mechanism

    Sameer and Harish Rohil

    18. Privacy Protection in Personalized Web Searches Using Anonymity

    Krishan Kumar, Mukesh Kumar Gupta, and Vivek Jaglan

    19. Performance Study of Various Routing Protocols in Opportunistic IoT Networks

    S. P. Ajith Kumar and Hardeo Kumar Thakur

    20. On AES S-Boxes with Variable Modulus and Translation Polynomials

    Chaman Prakash Arya, Ram Ratan, and Neelam Verma

    21. On Demand Link and Energy Aware Dynamic Multipath Routing for Mobile Nodes in a Wireless Sensor Network

    Suma S and Bharati Harsoor

    22. An Optimized Multi-Server Queuing Model for Transportation Problems

    Amit Bhatnagar and Arvind Kumar Shukla

    23. Forming the Cluster in the RFID Network for Improve the Efficiency and Investigation of Unkind Attacks

    M. Thurai Pandian and P. Damodharan

    24. Traffic-Aware Quality of Service (QoS) Routing in SDIoT Using Ant Colony Optimization Algorithm

    Dharamendra Chouhan, L. Kavyashree, P. K. Udayaprasad, J. Shreyas, N. N. Srinidhi, and S. M. Dilip Kumar

    25. ML-BBFT: ML-Based Bonding Based Forwarding Technique for Social OppIoT Networks

    Ritu Nigam and Satbir Jain

    26. EFF-MANet: A Systematic Approach for Feature Extraction in Unstructured Road Scene Scenarios

    Anamika Maurya and Satish Chand

    27. Quantum Error Correction Technique for Quantum-Based Satellite Communication

    Veenu Yadav, Deepshikha Agarwal, and Krishna Kant Agarwal


    28. A Study on an Education-Based Interactive Automated Agent

    Jaly Dasmahapatra, Mili Dasmahapatra, Debojit Dhali, Nayan Garain, and Riya Sil

    29. Issues in Retrieving Research Data from Open Source Software Projects: A Case Study

    Jaswinder Singh, Anu Gupta, and Preet Kanwal

    30. Proposed Model for Data Warehouse Requirement Engineering

    Hanu Bhardwaj andJyoti Pruthi

    31. Random Cloudlet Priority Scheduling: An Enhanced Approach

    Sumit Bansal,Himanshu Agarwal, andMayank Agarwal

    32. RAFI: Parallel Dynamic Test-Suite Reduction for Software

    Najneen, Manish Kumar Mukhija, and Satish Kumar

    33. Security Optimization through Programmability and Flexibility in Software-Defined Networking (SDN): A Novel Approach

    Pradeep Kumar Sharma and Dr S. S Tyagi

    34. Test Case Optimization Using a Genetic Algorithm

    Neeru Ahuja and Pradeep Kumar Bhatia


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

    Manpreet Kaur, PhD, is working as 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. She is currently working in the domains of machine learning, deep learning, and natural language processing. She is a Senior Member, IEEE (USA).

    Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University (MRU), Faridabad, India. He has more than 10 years of teaching and research experience in leading institutions of India. He earned his PhD (Computer Engineering) from the University of Delhi in 2017 in the field of data mining. His current research interests are data mining, dynamic graph mining, machine learning and big data analytics.

    Rajeev Kumar Arya, PhD, is currently 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 circuits design

    Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering (ISE) in the Centre of High Intelligent Computing (CHIC) at the University of Huddersfield, United Kingdom, having previously been team leader in the IT Department of the publishing company Charlesworth Group.