Data Intelligence and Cognitive Informatics

1. Front Matter

   Pages i-xxii

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2. Text Generation and Enhanced Evaluation of Metric for Machine Translation

   • Sujit S. Amin, Lata Ragha

   Pages 1-17

3. Destress It—Detection and Analysis of Stress Levels

   • Neha Udeshi, Nemil Shah, Urvi Shah, Stevina Correia

   Pages 19-33

4. On the Design and Applications of an Integrated Smart Home Automation

   • Thanaz Shafeer, M. Senthil Arumugam, A. Sasikala

   Pages 35-52

5. Voice and Gesture Based App for Blind People

   • Tilak Satra, Manali Shah, Ajay Lad, Stevina Correia

   Pages 53-75

6. Digital Image Forgery Detection Using Ternary Pattern and ELM

   • D. Vaishnavi, D. Mahalakshmi, M. S. Shawon Rahman

   Pages 77-86

7. A Study on Identification and Cleaning of Struck-Out Words in Handwritten Documents

   • R. Dheemanth Urs, H. K. Chethan

   Pages 87-95

8. RFID-Based Railway Crowd Prediction and Revenue Analysis

   • Shraddha S. More, Gulshan Pathak, Simran Panchal, Monika Patil

   Pages 97-109

9. A Review on Efficient Scheduling Techniques for Cloud Computing

   • Venkateswara Rao Kumpati, Manish Pandey

   Pages 111-120

10. A Synonym-Based Bi-LSTM Model for Machine Reading Comprehension

    • S. Anbukkarasi, N. Abinaya, S. Varadhaganapathy

    Pages 121-129

11. Designing of Arbiter PUF for Securing IP and IoT Devices

    • Swati Kulkarni, R. M. Vani, P. V. Hunagund

    Pages 131-138

12. Enhancements on the Efficacy of Firefighting Robots Through Team Allocation and Path-Planning

    • Sreesruthi Ramasubramanian, Senthil Arumugam Muthukumaraswamy, A. Sasikala

    Pages 139-151

13. Smart Meter Using Raspberry Pi for Efficient Energy Utilization

    • Chidrupa Manogna Mamunooru, Suseendra Attada, Sai Vipanchi Kodali, Mohan Reddy Tumma, Santanu Kumar Dash, Y. Padma Sai

    Pages 153-163

14. An Unsupervised Content-Based Article Recommendation System Using Natural Language Processing

    • S. Renuka, G. S. S. Raj Kiran, Palakodeti Rohit

    Pages 165-180

15. A Survey of the Exemplary Practices in Network Operations and Management

    • K. M. Majidha Fathima

    Pages 181-194

16. Utilization of Fish Excrete for Plant Growth Using SVM

    • C. Gnana Kousalya, T. U. Gowdhami, R. Mayavinothini

    Pages 195-206

17. A Novel Approach of Resource Scheduling Algorithm to Improve QoS in Green Cloud Computing

    • P. Geetha, C. R. Rene Robin

    Pages 207-221

18. Machine Learning Approach for Analysis of the Company Performance Based on Fundamental Data

    • Pratik Rathi, Madhur Kabra, Rahil Sheth, Jignesh Sisodia

    Pages 223-231

19. Evaluation of Deep Learning Models in the Prediction of Lung Disease(Pneumonia)

    • Adusumilli Rohit, B. Padmaja, K. Vinay Kumar, T. Chandana, M. Madhu Bala

    Pages 233-241

20. An Automated Invoice Handling Method Using OCR

    • Pranay Kumar, S. Revathy

    Pages 243-254

This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

• Intelligent Information Systems
• Cognitive Intelligence
• Industrial Internet of Things
• Cognitive Human-Computer Interaction Models
• Mobile Technologies and Services
• ICDICI 2020
• ICDICI Proceedings
• Deep Learning

• GITAM University, Bangalore, India

  I. Jeena Jacob

• Department of Mathematics and Computer Science, Concordia University Chicago, River Forest, USA

  Selvanayaki Kolandapalayam Shanmugam

• University of Florida, Gainesville, USA

  Selwyn Piramuthu

• Gdańsk University of Technology, Gdańsk, Poland

  Przemyslaw Falkowski-Gilski

I. Jeena Jacob is working as a Professor in Computer Science and Engineering department at GITAM University, Bangalore, India. She actively participates on the development of the research field by conducting international conferences, workshops and seminars. She has published many articles in refereed journals. She has guest edited an issue for the International Journal of Mobile Learning and Organisation. Her research interests include mobile learning and computing. 


Selvanayaki Kolandapalayam Shanmugam is currently working as an Associate Professor in Computer Science, Concordia University, Chicago, USA. She had over all 15+ years of lecturing sessions for theoretical subjects, experimental and instructional procedure for laboratory subjects. She presented more research articles in the national & international conferences and journals. Her research interest includes image processing, video processing, soft computing techniques, intelligent computing, web application development, object-oriented programming like C++, and Java, scripting languages like VBscript and Javascript, data science, algorithms, data warehousing and data mining, neural networks, genetic algorithms, software engineering, software project management software quality assurance, enterprise resource planning, information systems and database management systems.


Selwyn Piramuthu is Professor of Information Systems at the University of Florida. He received his B.Tech., M.S. and Ph.D., respectively, from IIT Madras, University of Arizona and University of Illinois at Urbana–Champaign. His research interests include machine learning and cryptography with applications in medical informatics, supply chain management, financial credit risk scoring, IoT, among others. His book, co-authored with Wei Zhou titled, “RFID and Sensor Network Automation in the Food Industry,” was published by Wiley in 2016.


Przemyslaw Falkowski-Gilski is a graduate of the Faculty of ETI, Gdansk University of Technology. He graduated 1st degree B.Sc. studies (in Polish) and 2nd degree M.Sc. studies (in English) in 2012 and 2013, respectively. He pursued his Ph.D. studies in the field of electronic media, particularly digital broadcasting systems and quality of networks and services. In 2018, he received the title of Doctor of Technical Sciences with distinction, discipline Telecommunications, specialty in Radio communication. Currently, he works as an academic.

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