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