Advanced Computational Paradigms and Hybrid Intelligent Computing

1. Front Matter

   Pages i-xiv

   PDF

2. Pixel-Based Nuclei Segmentation in Fine Needle Aspiration Cytology of Lung Lesions

   • Moumita Dholey, Atasi Sarkar, Amita Giri, Anup Sadhu, Koel Chaudhury, Jyotirmoy Chatterjee

   Pages 1-12

3. Smart Agriculture Using Polyhouse

   • Reshu Agarwal, Manisha Pant, Raga Gangadharan, Suraj Regi

   Pages 13-20

4. Performance Appraisal of 6LoWPAN and OpenFlow in SDN Enabled Edge-Based IoT Network

   • Rohit Kumar Das, Monica Jha, Subash Harizan

   Pages 21-29

5. Prosodic Speech Synthesis of Narratives Depicting Emotional Diversity Using Deep Learning

   • Shloka S. Shah, Rishika A. Gupta, Parth M. Jardosh, Anant V. Nimkar

   Pages 31-42

6. Suitability of Synthetic Storm Technique for Rain Attenuation Prediction at Ku-band Over Hill Tropical Location, Sikkim

   • Pooja Verma, Swastika Chakraborty, Bishal Paudel

   Pages 43-51

7. Comparative Study of Heart Sound Classifier with Varying Hyperparameter of CNN

   • Vivek Rai, Vikash Kumar Singh

   Pages 53-60

8. Depth-Guided Two-Way Saliency Network for 2D Images

   • Dibyendu Kumar Das, Sahadeb Shit, Dip Narayan Ray

   Pages 61-71

9. HSA Based Sensor Nodes Deployment Strategy for Coverage and Connectivity in WSNs

   • Subash Harizan, Pratyay Kuila, Rohit Kumar Das

   Pages 73-81

10. Analysis of Multipath TCP Schedulers

    • Vidya S. Kubde, Sudhir S. Sawarkar

    Pages 83-91

11. A Novel Approach for Early Detection of Disease and Pest Attack in Food Crop: A Review

    • R. Elakya, T. Manoranjitham

    Pages 93-101

12. MeghNA: Cloud Detection and Motion Prediction in INSAT Images

    • Manan Doshi, Jimil Shah, Aumkar Gadekar, Anish Dixit, Shloka Shah, Parth Jardosh et al.

    Pages 103-112

13. Abnormal Behavior Detection of Students in the Examination Hall from Surveillance Videos

    • Roa’a M. Alairaji, Ibtisam A. Aljazaery, Haider TH. Salim ALRikabi

    Pages 113-125

14. Detection of Fraudster Credit Card Transaction Using Predictive Model

    • Sudarshan Sivakumar, H. M. Mallikarjun

    Pages 127-135

15. Cloud-Based Smart Traffic Lights Monitoring and Controlling Using IoT

    • K. Jairam Naik, Naveen Sundar, Shristi Agrawal, Nilesh Singhania

    Pages 137-147

16. COVID-19 Fake News Identification Using Multi-layer Convolutional Neural Network

    • Shivangi Srivastava, Roushan Raj, Sunil Saumya

    Pages 149-157

17. Comprehensive Study on Denoising of Medical Images Utilizing Neural Network-Based Autoencoder

    • Thoshara Nawarathne, Thanushi Withanage, Samitha Gunarathne, Upekha Delay, Eranda Somathilake, Janith Senanayake et al.

    Pages 159-170

18. An Analysis of Epileptic Seizure Prediction Using Deep Learning Techniques

    • Mayank Gupta, Tapan Gandhi

    Pages 171-179

19. Mathematical Modelling of Complex Cellular Networks of Autophagy—Lysosomal Pathway in Neurodegeneration

    • Hemalatha Sasidharakurup, Anil S. Menon, Avinash Sreedharan Sabeen, Shyam Diwakar

    Pages 181-191

20. Mapping and Monitoring of Water Bodies Using Sentinel 1A Images

    • T. R. Manjula, Sathyan Sruthi Samyuktha, Guttivaddi Navya, Saribala Priyanka, Mukku Prakash Reddy, Raju Garudachar

    Pages 193-201

This book presents high-quality, peer-reviewed papers from the Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India during 22 – 24 March 2021. ICACCP 2021 covers an advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals and research scholars from regional, national and international levels are invited to present their original unpublished work in this conference.

• Advanced Computational Paradigms
• Networking and Data Communications
• Cyber Security
• Signal Processing
• Computer Vision and Image Processing
• Computational Perception and Cognition
• Human Computer Interaction
• Adaptive Computation and Machine Learning

• Department of Electrical Engineering, Indian Institute of Technology, New Delhi, India

  Tapan Kumar Gandhi

• Department of Computer Science and Engineering, SRM University, Amaravati, India

  Debanjan Konar

• Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Majitar, India

  Biswaraj Sen, Kalpana Sharma

Dr. Tapan K Gandhi is currently working as Associate Professor in the Dept. of Electrical Engineering, and adjunct faculty in the School of Information Technology, Indian Institute of Technology Delhi. He is also research affiliate to MIT, USA. His research expertise spans from Computational Neuroscience, Brain imaging, Assistive Technology, Bio-medical Instrumentation, machine learning, Cognitive Computing to Artificial intelligence. He is serving as the Chairperson of Project Prakash charitable Trust, that helps in Restoration of Vision and providing education to visually impaired in India. 

Dr. Debanjan Konar is an Assistant Professor (Research) at the Department of Computer Science and Engineering at Sikkim Manipal Institute of Technology, India. He has completed his PhD [Eng.] from Indian Institute of Technology, Delhi on Quantum Self-supervised Neural Network for Medical Image Segmentation. His research interests include quantum machine learning, deep learning, and medical image analysis. He has published several papers in these areas in leading journals and IEEE international conferences. He is also a reviewer for various international journals and conferences.

Dr. Biswaraj Sen, PhD., M.Tech., B.E is an academic professional with expertise in teaching & research in the field of Engineering & Technology Education. He is currently working as Associate Professor in Computer Science & Engineering Department of Sikkim Manipal Institute of Technology (A constituent unit of Sikkim Manipal University – NAAC accredited). His experience spans over 17 years and during this period he has handled variety of subjects for undergraduate / post graduate programmes (theory & practical sessions). His core academic strength & research interest include Ad hoc networks / Sensor networks / Network Security / Mobile Networks and related areas. He has to his credit 17+ publications in International Journals & Conferences. Apart of academic engagements, DrBiswaraj also serves as Head of Industry Academia Linkages & Training and Placement Cell of Sikkim Manipal Institute of Technology. He has been successful in building strong partnership with Industry houses and has been able to establish Industry driven lab at the Institute. 

Dr. Kalpana Sharma is associated with Sikkim Manipal Institute of Technology since 1998. Currently, she is Professor & Head of Department of Computer Science & Engineering Department. She holds a Bachelor of Engineering (Computer Engineering) from NIT Silchar (Formerly REC Silchar), Master of Technology from IIT Kharagpur and Ph.D from Sikkim Manipal University. Her research interest includes Wired / Wireless Networks, NDN Networks, Distributed Systems, Data Mining, Data Analytics, Image Processing and other areas of computer science. She is actively involved in research and supervising PhD scholars in the university. As an active member of Institute of Electrical and Electronics Engineers (IEEE) and Institution of Engineers (India) (IEI), she demonstrates and participates actively in trending research areas of computing. Dr Sharma has more than 40 publications in National & International Journals and conferences with more than 600 citations. She has chaired multiple sessions in International and National Conferences. She has successfully executed various AICTE funded research projects and is currently the Principal Investigator of Data Analytics project funded by TMA Pai research grant. She is a member of University Research Committee of the university.

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