Proceedings of the 2nd International Conference on Computational and Bio Engineering

1. Front Matter

   Pages i-xxviii

   PDF

2. Implementation of Healthcare System Using Android Application Storing Health Records in Cloud

   • P. Divyaja, M. Usha Rani

   Pages 1-9

3. Threshold and Segmentation-Based X-ray Imaging Analysis for Covid-19 Detection

   • K. Himabindu, K. Sekar, K. Vandana Rao

   Pages 11-15

4. Feature-Based Squids Classification Using Fuzzy Logic

   • K. Himabindu, S. Jyothi, D. M. Mamatha

   Pages 17-24

5. In Silico Platforms for Systems Toxicology

   • M. Lalasa, S. Nithya, K. Nagalakshmamma, A. Suvarnalatha, P. Nageshwar Rao

   Pages 25-31

6. Comparative Analysis on Factors Affecting Accuracy of Seizure Detection Using EEG Signal Processing

   • M. Zaheer Ahamed, S. Aruna Mastani

   Pages 33-41

7. Identification of Coronavirus (COVID-19) Long Non-coding RNAs (lncRNAs) Using Machine and Deep Learning Approaches

   • A. Revathi, S. Jyothi, P. Swathi

   Pages 43-50

8. Predictive Analysis of Damage Occurred Due to Natural Disasters Using Whale-Optimization Algorithm-Based Hybrid Computation

   • K. Hemalatha, K. Hema, V. Deepika

   Pages 51-58

9. Remote Access for Advanced Mobile Communication Systems

   • Swetha Rani Karanam, Suseela Kallepalli

   Pages 59-73

10. A Statistical Study on Coronary Artery Disease Using Discriminant Analysis

    • A. Vani, T. Suneetha, K. Sukanya, T. Sukeerthi

    Pages 75-84

11. A Study to Assess the Knowledge and Opinion of Mid-Level Health Providers of Chittoor District Regarding m-Health

    • B. G. Bhavani

    Pages 85-91

12. Machine Learning Techniques for Identifying Diabetes and Its Complications Based on Long Non-coding RNAs

    • P. Swathi, S. Jyothi, A. Revathi

    Pages 93-105

13. Computational Method on Breast Cancer Survival Data Using Binary Classification Models

    • T. Sukeerthi, K. Sukanya, K. Vandana Rao

    Pages 107-114

14. Percentage Nucleotide Concentration and Classification of SARS–Corona Viruses

    • F. Amul Mary, S. Jyothi

    Pages 115-127

15. The Role of Law and Regulation on the Intersection of Bioprospecting and Bio Piracy

    • Samykya Mukku, M. Lalasa, K. Nagalakshmamma, G. Savitri, P. Sujata, K. S. Shanthi Sree

    Pages 129-134

16. Robust Face Recognition Using Multi-scale Feature Pattern Sparse Representation with Extreme Learning Machine

    • Pallavaram Venkateswar Lal, Uppalapati Srilakshmi, D. Venkateswarlu

    Pages 135-150

17. A Review of Diabetic Retinopathy Screening Using Machine Learning

    • S. Nalini Durga, K. Usha Rani

    Pages 151-162

18. A Novel Framework for Modeling Medical-Sensitive Big Data Using Document-Based Database

    • Sai Jyothi Bolla, S. Jyothi

    Pages 163-176

19. Studies on Effect of Leaf Roller (Diaphania pulverulentalis) Infestation on the Mineral Composition of Mulberry (Morus Sp.) Varieties

    • C. T. Bhagyamma, N. Vijaya Kumari

    Pages 177-186

20. Performance Comparison of Semantic Web Data Using Virtual and Cloud Services

    • C. Lakshmi, K. Usha Rani

    Pages 187-194

This book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.

• Artificial Intelligence
• Cloud Computing
• Big Data Analytics
• Bioinformatics
• Biomaterials
• CBE 2020
• CBE Proceedings

• Department of Computer Science, Sri Padmavati Mahila University, Tirupati, India

  S. Jyothi

• Department of Bioscience and Sericulture, Sri Padmavati Mahila Univesity, Tirupati, India

  D. M. Mamatha

• School of Informatics, University of Leicester, UK, UK

  Yu-Dong Zhang

• Department of Computer Science Engineering, CMR Technical Campus (CMRG), Secunderabad, India

  K. Srujan Raju

Dr. S. Jyothi is Senior Professor and Head of the Department in Computer Science at Sri Padmavathi Women’s University, Tirupati, Andhra Pradesh, India. She is also Secretary of SPMVV Society for Innovation Incubation Entrepreneurship (SSIIE) which has TBI & WBIF, Coordinator of CURIE-AI, National Innovation Startup Policy (NISP), Coordinator and Vice-President of Institute’s Innovation Council (IIC). She handled many administrative positions in the University. She is BOS Member of several Universities. She is NAAC peer team Member. Seventeen Ph.D.s and seven M.Phil.s were awarded and nine Ph.D. scholars are being guided under her supervision. More than 250 papers published and presented in international journals and conferences. 12 book chapters are published and 12 books are authored and edited by her. She has filed 2 patents and one international patent publication in her credit. She has conducted 3 international and 4 national conferences, 10 hands-on workshops & faculty development programmes and acted as Keynote Speaker, Invited Speaker and Session Chair of international and national conferences.

She has completed UGC, DBT major Projects and ISRO-NRSC consultancy projects and handling DBT major project. She is honoured and awarded Marquis Marque Lifetime achievement award, Venus Lifetime achievement award, Best Research award, AP State Best Teacher Award, Rashtriya Gaurav Award and Best Citizens of India Award. She acted as Editorial Board Member of international journals, Technical Committee Member of international conferences and Reviewer of many research papers for international journals and international conferences. She is Senior Member of IEEE, ACM and IACSIT, Fellow of ISCA, IETE & SSARSC, Member of IAENG & Gyancity Research Labs and Life Member of CSI, ISTE, ISCA, IFERP, IUPRAI and ISRS. Her research interest is in image processing, artificial intelligence, machine learning, soft computing, data mining, big data analytics, bioinformaticsand hyperspectra image analysis.

Dr. D. M. Mamatha is Fulbright Scholar and Professor from the Department of Bioscience & Sericulture at Sri Padmavathi Women’s University, Tirupati, Andhra Pradesh, India. She is the current Registrar of Sri Padmavati Women’s University. She obtained six major collaborative multidisciplinary research projects from DBT, DST and UGC to the tune of Rs. 250.56 lakhs (approximately) and completed three international research fellowships like Indo-US & Indo-Egypt and Fulbright Fellowship during the period 2010 to 2018. Her area of research is wide ranging on  cloning, expression, rDNA technology, DNA barcoding and silk biomaterials. She had been to several countries, viz. Singapore, Malaysia, Thailand, USA, Hong Kong, Canada, Egypt, Nepal and USA on various academic, research and international collaborative assignments. Her relentless efforts made her to publish several international publications in Scopus journals with high impact factor and a high citation index of 1505.  Her works speak about her scientific calibre, which had been appreciated and posted in UCDAVIS website by her mentor Prof. Bruce Hammock, Distinguished Professor and Well-Renowned Scientist upon her visit to UCDAVIS.

Apart from the ‘Fulbright award’, Dr. Mamatha received several significant awards like ‘Achievement award’ from WHO-UNESCO, ‘DBT-Young scientist Associateship’ award from Government of India, Twice received INSA-NASI-IAS ‘National science academies Summer research fellowship awards’ for the years 2009 and 2011, ‘Best Teacher award’ from The Lion’s club, ‘Best Research award’ from Indus foundation, and several ‘Best research paper’  and presentations awards which demonstrate her academic and research capacities. Her multidisciplinary research on automated identification of prawn species using DNA coding and neural networks has gained research team a national and international patent for the technology generated. Another thrust area is the ‘Development of Silk fibroin Biomaterials’ on the offing, where India has a large potential to hit in the coming years. She is currently guiding postdocs, Ph.D.s and M.Phil. scholars. One postdoc, two Ph.D.s, and one M.Phil. and several master’s course dissertations have been awarded under her guidance. She published 5 books and contributed 5 chapters to different books from reputed publishers.

Dr. Yu-Dong Zhang (Eugene) is Professor and Chair in Knowledge Discovery and Machine Learning. He has Memberships in Associate Fellow of Higher Education Academy, IEEE Senior Member, ACM Senior Member and Fellow of IET. He has more than 400 publications with 12654 citations in Google Scholar with h index 62 and 8336 citations in Scopus with h index 52. His research interest includes deep learning, convolutional neural network, neural networks, biomedical image analysis, bio-inspired computing, pattern recognition, transfer learning, biomedical image analysis,etc. Dr. Yu-Dong Zhang is Honorary Professor of Henan Polytechnic University and King Abdulaziz University. He won MDPI Top 10 Most Cited Papers 2015 from MDPI, Switzerland, Emerald Citation of Excellence 2017, Emerald, UK, ‘Top Scientist’ in Guide2Research, Most Cited Chinese Researchers (Computer Science) by Elsevier, Highly Cited Researcher 2019 by Web of Science and Springer Nature CNY2020 Collection by Springer Nature. Dr. Yu-Dong Zhang (Eugene) served as (Associate) Editor of Neural Networks, Scientific Reports, Journal of Alzheimer's Disease, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, Neurocomputing, etc. He served as Leading Guest Editor of Information Fusion, Neural Networks, IEEE Access, etc.

He served as Guest Editor of IEEE Transactions on Intelligent Transportation Systems, International Journal of Information Management and other peer-reviewed journals. He served as General Chair/ Co-Chair/TPC Chair/ Workshop Chair/ Session Chair of IEEE/Springer conferences. He has delivered academic talk in Doctoral School Teaching and invited talks in reputed Universities. He served as Senior Committee Members in number of conferences. He has research team which consists of 3 staffs, 8 Ph.D. students and 12 visiting students/scholars. Dr. Yu-Dong Zhang has several research projects in various disciplines from various funding agencies.

Dr. K. Srujan Raju is currently working as Dean of Student Welfare and Heading Department of Computer Science & Engineering and Information Technology at CMR Technical Campus. He obtained his Doctorate in Computer Science in the area of Network Security. He has more than 20 years of experience in academics and research. His research interest areas include computer networks, information security, data mining, cognitive radio networks, image processing and other programming languages. Dr. Raju is presently working on 2 projects funded by Governmentof India under CSRI & NSTMIS; he has also filed 7 patents and 1 copyright at Indian Patent Office, edited more than 14 books published by Springer Book Proceedings of AISC series, LAIS series and other which are indexed by Scopus, also authored books in C Programming & Data Structure, Exploring to the Internet and Hacking Secrets, contributed chapters in various books and published more than 40 papers in reputed peer-reviewed journals and international conferences.

Dr. Raju was invited as Session Chair, Keynote Speaker, Technical Programme Committee Member, Track Manager and Reviewer for many national and international conferences and also appointed as Subject Expert by CEPTAM DRDO – Delhi & CDAC. He has undergone specific training conducted by Wipro Mission 10X & NITTTR, Chennai, which helped his involvement with students and is very conducive for solving their day to day problems. He has guided various student clubs for activities ranging from photography to Hackathon. He mentored more than 100 students for incubating cutting-edge solutions. He has organized many conferences, FDPs, workshops and symposiums. He has established the Centre of Excellence in IoT, Data Analytics. Dr. Raju is Member of various professional bodies and received a Significant Contributor Award and Active Young Member award from Computer Society of India and also served as Management Committee Member, State Student Coordinator & Secretary of CSI – Hyderabad Chapter.

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