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E-raamat: Emergent Converging Technologies and Biomedical Systems: Select Proceedings of ETBS 2021

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The book contains peer-reviewed proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems 2021. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing and instrumentation, wearable sensors for health care monitoring, biomedical imaging, & bio-materials, modeling and simulation in medicine biomedical and health informatics. The book will serve as a useful guide for educators, researchers, and developers working in the area of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book will also provide support and aid to the researchers involved in designing the latest advancements in healthcare technologies.


Performance and Security Issues of Integrating Cloud Computing with IoT
1(12)
Rubika Walia
Prachi Garg
Social Cloud Computing: Architecture and Application
13(16)
Santosh Kumar
Sandip Kumar Goyal
A Systematic Approach for Evading Antiviruses Using Malware Obfuscation
29(10)
Keshav Kaushik
Harshpreet Singh Sandhu
Neelesh Kumar Gupta
Naman Sharma
Rohit Tanwar
Development of Wi-Fi-Based Weather Station WSN-Node for Precision Irrigation in Agriculture 4.0
39(12)
Dushyant Kumar Singh
Rajeev Sobti
An Intelligent Weather Station Design for Machine Learning in Precisions Irrigation Scheduling
51(12)
Dushyant Kumar Singh
Rajeev Sobti
Accelerating Polynomial-Based Image Secret Sharing Using Hadoop
63(8)
Sonali Patil
Roshani Raut
Chaitrali Sorte
Gauri Jha
A Computational Model for Detection of Lung Diseases Due to Forkhead Transcription Factors
71(12)
Shruti Jain
A Compact Planar Inverted F Antenna for 5G Applications in Biomedical Applications
83(10)
Debarpita
Nikhil Marriwala
Al-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT Images in COVID-19 Patients
93(10)
Kokka Paramban Sabeerali
T. S. Saleena
P. Muhamed Ilyas
Neha Mohan
WSN Based Health Monitoring System for COVID-19 Patients
103(14)
Shaurya Sinha
Dheerika Pandey
Garima Mahendru
Sentimental Analysis of Tweets During COVDD-19 Pandemic: BERT Algorithm
117(16)
Gurkirat Kaur
Munish Saini
Amit Chhabra
The Analysis of Plants Image Classification Based on Machine Learning Approaches
133(16)
Sukanta Ghosh
Amar Singh
Implementation of Blockchain in IoT
149(14)
Rasmeet Kaur
Aleem Ali
Advanced Approach Using Deep Learning for Healthcare Data Analysis in IOT System
163(10)
Shaweta Sachdeva
Aleem Ali
An Integration of AI, Blockchain and IoT Technologies for Combating Covid-19
173(10)
K. Ashok Kumar
Vanga Karunakar Reddy
A. Narmada
Automated Parkinson's Disease Diagnosis System Using Transfer Learning Techniques
183(14)
Rohit Lamba
Tarun Gulati
Anurag Jain
Manual and Automatic Control of Appliances Based on Integration of WSN and IOT Technology
197(18)
S. Karthikeyan
Adusumalli Nishanth
Annaa Praveen
Vijayabaskar
T. Ravi
Eye Controlled Wheel Chair System for Physically Challenged People
215(10)
S. Karthikeyan
M. Maheshwar Reddy
Md. Dhariq Refai
R. Narmadha
S. Jayanthi
Improved Sparse PLSR and Run-To-Run Algorithms for Traffic Matrix Prediction in Software-Defined Networks
225(16)
Madhwaraj Kango Gopal
M. Amirthavalli
B. Meenakshi Sundaram
An Efficient Object and Railway Track Recognition in Thermal Images Using Deep Learning
241(14)
Rohini Goel
Avinash Sharma
Rajiv Kapoor
Employee Health Monitoring System for Industry 4.0
255(12)
Devansh Array
Rajeshwar Dass
Intelligent Tutoring System for Preschooler Enhancement
267(12)
P. Raja
Rajesh Sigh
Anita Gehlot
Effective Heart Disease Classification for Telehealth Systems
279(10)
Deepa Jose
Arya Rajesh
P. Jaisharmila
Jeba M. Jasvine
V. Andal
Effective Plant Leaf Disease Detection for Farmers
289(12)
Deepa Jose
M. Pavithra
S. Sasipriya
M. Satya Venkata Santosh
Jhonatan Fabricio Meza Cartegana
Analysis of Various Non-invasive Methods for Pulmonary Cancer Identification
301(10)
S. V. Banabakode
Swati R. Dixit
Agriculture Assistant for Crop Prediction and Farming Selection Using Machine Learning Model with Real-Time Data Using Imaging Through UAV Drone
311(20)
Muskan Jain
Manpreet Singh Bajwa
Hemant Kumar
Handling Security Issues in Fog Computing Environment Using Blowfish Encryption Algorithm
331(10)
Sapna Gambhir
Parul Tomar
Preeti Sharma
Investigating Novel Coronavirus Through Statistical Methods for Biomedical Applications: An Engineering Student Perspective
341(8)
Amit Kumar Shakya
Ayushman Ramola
Anurag Vidyarthi
A Comprehensive Analysis on Technological Approaches in Sign Language Recognition
349(14)
Kamaldeep Sharma
Brajesh Kumar
Deepti Sehgal
Ayan Kaushik
Accurate Machine Learning-Based Automated Sleep Staging Using Clinical Subjects with Suspected Sleep Disorders
363(18)
Santosh Kumar Satapathy
Ravisankar Malladi
Hari Kishan Kondaveeti
Handwritten Multi-digit Recognition Using Convolutional Neural Networks with Par-Mod
381(14)
Suraj Tiwari
Piyush Gupta
Automated Detection of Cardiac Arrhythmia Based on a Hybrid CNN-LSTM Network
395(20)
Shahriar Rahman
Shazzadur Rahman
A. K. M. Bahalul Haque
Design of Visual-Image Classifier for Web Application
415(10)
Shivani
Nidhi Gaur
A Comparative Analysis of Different Despeckling Filters Using Breast Ultrasonographic Images
425(6)
Priyanshu Tripathi
Rajeshwar Dass
Jyotsna Sen
Sign Language Recognition Using Hand Mark Analysis for Vision-Based System (HMASL)
431(16)
Akansha Tyagi
Sandhya Bansal
Factors Affecting Memory Retention in K-12 Students for the Development of AR-Based Learning Application
447(10)
Shubham Gargrish
Archana Mantri
Deepti Prit Kaur
Bhanu Sharma
Gurwinder Singh
An Advanced VGG16 Architecture-Based Deep Learning Model to Detect Pneumonia from Medical Images
457(16)
Mohit Chhabra
Rajneesh Kumar
Experimental Study of the Robotically Controlled Surgical Needle Insertion for Analysis of the Minimum Invasive Process
473(10)
Ranjit Barua
Surajit Das
Sudipto Datta
Amit Roy Chowdhury
Pallab Datta
A Secured IoT-Based Health Care Monitoring System Using Body Sensor Network
483(8)
J. Swetha Priyanka
Medamoni Sai Kiran
Phanidar Nalla
Breast Cancer Patient Classification from Risk Factor Analysis Using Machine Learning Classifiers
491(14)
Deepti Sharma
Rajneesh Kumar
Anurag Jain
Designing Deep Learning Architectures for Multiview 3D Shape Estimation Using Image Transformers
505(10)
Kanika Singla
Parmanand Astya
Comparative Analysis of Term Extraction and Selection Techniques for Query Reformulation Using PRF
515(12)
Vishal Gupta
Dilip Kumar Sharma
Ashutosh Dixit
Enhanced Quality of Service (EQoS)-Enabled Load Balancing Approach for Cloud Environment
527(12)
Minakshi Sharma
Rajneesh Kumar
Anurag Jain
Classification for Diagnosis of Breast Cancer Using Machine Learning Techniques with Hyperparameter Tuning
539(14)
K. K. Sreekala
Jayakrushna Sahoo
An Investigation into the Application of Bidirectional Associative Memory and Pseudorandom Number for Steganography
553(10)
Garima
Priyanka Dahiya
Investigations on Motor Imagery in Brain-Computer Interface
563(12)
Rohtash Dhiman
Pawan
Texture Analysis of Liver Ultrasound Images
575(12)
Niranjan Yadav
Rajeshwar Dass
Jitendra Virmani
Recent Advancements on Recommendation Systems in Healthcare-Assisted System
587(20)
Gauri Sood
Neeraj Raheja
Assessment of De-noising Filters for Brain MRI Tl-Weighted Contrast-Enhanced Images
607(8)
Sarita
Rajeshwar Dass
Jitender Saini
Consensus-Based Distributed Control in Microgrid Under Switching Topology
615(10)
Rinku Kumar
Pankaj Mukhija
Manish Kumar Saini
Ice Berg Detection in SAR Images Using Mask R-CNN
625(10)
M. S. Sivapriya
R. Mohamed Fathimal
Augmentation Techniques on Mammogram Images for CNN Based Breast Cancer Classification
635(16)
P. Pratheep Kumar
V. Mary Amala Bai
Geetha G. Nair
Automated Diagnosis of COVID-19 Using Squeeze Net Architecture Based on Deep Learning
651(12)
J. Syed Nizamudeen Ahmed
M. Mohamed Sathik
Krishnan Nallaperumal
Senthamarai Kannan Kaliaperumal
Kumar Parasuraman
Voting Classification Approach for Breast Cancer Detection
663(12)
Ravi Kumar Barwal
Neeraj Raheja
Pankaj Kumar
Design and Development of Smart Bed to Monitor Infants
675(10)
Vinayak Sharma
Rohan Mittal
Ashwani Kumar Dubey
Smart Mask for COVID-19 E-wear
685(16)
R. Subhash
C. Gnana Kousalya
G. Rohini
Nikhil Madhavan
Role of IoT and Machine Learning in Smart Grid
701(16)
Vijay Kumar Garg
Sudhir Sharma
A Quantitative Study of Small Dataset Machining by Agglomerative Hierarchical Cluster and K-Medoid
717(12)
Pruthvi Raju Garikapati
K. Balamurugan
T. P. Latchoumi
G. Shankar
Deep Learning-Based Face Mask Detecting System: An Initiative Against COVID-19
729
Komal Saini
Nikhil Marriwala
Nikhil Marriwala is an Assistant Professor at the Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Kurukshetra. He did his PhD. from the National Institute of Technology, Kurukshetra. He completed his post-graduation in electronics and communication engineering from IASE University, Rajasthan, and B. Tech. in electronics and instrumentation from MMEC, Kurukshetra. He has over 16 years of teaching and research experience. He has supervised over 31 students for their M. Tech. dissertation. He has over 30 publications and one patent published to his credit. His areas of interest are software-defined radios, wireless communication, fuzzy system design, and microprocessors.





C. C. Tripathi completed his Ph.D. in electronics from Kurukshetra University, Kurukshetra. Since 2016, he is working as a Director of the University Institute of Engineering Technology (an autonomous institute), KurukshetraUniversity, Kurukshetra. His research areas are microelectronics, RF MEMS for communication, and industrial consultancy. He has filled 1 patent and published over 80 papers journals and conference proceedings. Prof. Tripathi is an experienced professor with a demonstrated history of working in the higher education industry. He has been working extensively on graphene-based flexible electronics devices, sensors, etc.





Shruti Jain is an Associate Professor in the Department of Electronics and Communication Engineering at the Jaypee University of Information Technology, Waknaghat, India. Dr. Jain received her Doctor of Science (D. Sc.) in electronics and communication engineering. She has 16 years of teaching experience with three filed patents, over 120 journal publications, and 15 book chapters. She has also published nine books. Her research interests are image and signal processing, soft computing, bio-inspired computing, and computer-aided design of FPGA and VLSI circuits.





S. Mathapathi is an adjunct faculty member at multiple universities including the University of California San Diego, Sonoma State University, Santa Clara University, and he is also teaching at regional community academia including ethnically diverse institutions such as Ohlone and De-Anza College in California. Prof. Mathapathi has been a passionate educator for nearly 25 years of industry experience with a strong desire to help students recognize the connection between learning and Industry needs. His teaching and research areas include the internet of things, machine learning, artificial intelligence, cybersecurity, and Blockchain. He has also authored numerous articles published in prestigious journals. Prof. Mathapathi is also a team leader of the education cluster at the Global City Team Challenge project in collaboration with the National Institute of Standards and Technology (NIST), under the U.S Department of Commerce. He is the key contributor in creating tutorials, workshops, and practice use cases for smart cities. The workshop also discusses IoT standards and protocol which would help; community partners and city/municipality staff to get familiar with national as well as international IoT standards.