Computational Intelligence in Analytics and Information Systems 2-volume set

VOLUME 1: DATA SCIENCE AND AI, SELECTED PAPERS FROM CIAIS-2021

PART I: COMPUTATIONAL INTELLIGENCE IN IMAGE PROCESSING

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

PART II: COMPUTATIONAL INTELLIGENCE IN HEALTHCARE

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

PART III: TECHNIQUES FOR NATURAL LANGUAGE PROCESSING

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

PART IV: COMPUTATIONAL INTELLIGENCE IN SMART CITIES

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

VOLUME 2: ADVANCES IN DIGITAL TRANSFORMATION, SELECTED PAPERS FROM CIAIS-2021

PART I: SMART TECHNOLOGIES

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

PART II: COMPUTATIONAL INTELLIGENCE IN NETWORK TECHNOLOGIES

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

PART III: COMPUTATIONAL INTELLIGENCE IN SOFTWARE ENGINEERING

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

Biography

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.