1st Edition
Computational Intelligence in Analytics and Information Systems 2-volume set
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.
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.