1st Edition
Automation and Computation Proceedings of the International Conference on Automation and Computation, (AutoCom 2022), Dehradun, India
The proceedings of the International Conference on Automation and Computation 2022 (AUTOCOM-22) consist of complete research articles that were presented at the conference. Each of the research articles was double-blind reviewed by the experts of the corresponding domain. The book contains a blend of problems and respective solutions related to computer-based automation & computation to highlight the recent technological developments in computer-based automation. It serves as an environment for researchers to showcase the latest research results on Data Science & Engineering, Computing Technologies, Computational Intelligence, Communication & Networking, Signal & Image Processing, Intelligent Control Systems & Optimization, Robotics and Automation, Power, Energy & Power Electronics, Healthcare & Computation, AI for human interaction, etc. It aims to give deep insight into the current trends of research in science and technology and shall introduce the reader to the new problems and respective approaches toward the solution and shall enlighten the researchers, students and academicians about the research being carried out in the field.
Heart Disease detection using feature optimization and classification
Mathematical Modelling of Tuberculosis and COVID-19 with Saturated Incidence Rate
Feature generation techniques for Suicidal ideation detection from social media texts
A Mathematical Computation of LEACH and PEGASIS on the basis of Energy Consumed and Overall Time Period in WSN
Anomaly Detection in Wireless Sensor Network using Generative Adversarial Network (GAN)
Novel Node Deployment strategies for Wireless Sensor Networks
Fog-based IoT-enabled System Security: A Survey
Experimental assessment of flicker in commercially available white-LED indoor luminaires
Cognitive Intelligence-Based Model for Health Insurance Premium Estimation
An Empirical Study on the Implications of Artificial Intelligence (AI) in Hotels of Uttarakhand
THE STUDY OF GRID-CONNECTED INDUCTION GENERATORS APPLICABLE TO WIND POWER
An Image Encryption and Decryption process using Singular Value Decomposition
A Survey: Smart Healthcare Monitoring System using IOT and ML Techniques
Correlation Feature Selection based BFTree Framework for diagnosing Chronic Obstructive Pulmonary Disease Severity Grade
Analysis of traditional businesses in the Himalayan state using unsupervised learning
INTRUSION DETECTION AND PLANT HEALTH MONTITORING SMART SYSTEM -Camera Ready Pending
MATHEMATICAL MODEL FOR CHILLED FOOD WITH TEMPERATURE DEPENDENT DETERIORATION RATE
A Review on Lung Disease Diagnosis using Machine Learning
Smart Helmet: An innovative solution for timely aid and women safety - -Camera Ready Pending
Computational Techniques to Recognize Indian Stone Inscriptions and Manuscripts: A review
A Review of Keras’ Deep Learning Models in predicting COVID-19 through Chest X-Rays
Encryption and Decryption Technique in Optically Transformed Color Images
Recent Innovations in Building Smart Irrigation Systems
Performance Evaluation of pre-trained models on Tuberculosis Dataset
URL-Based Technique to Detect the Phishing Websites
Current and Future Roadmap for Artificial Intelligence Applications in Software Engineering
An efficient Artificial Intelligence approach for identification of rice diseases
An IoT Based Smart Shopping Cart
Pixel-wise Binary Visual Cryptography for Black and White Images
A survey of Open Source and free software engineering tools for academia and developer community
Detection of Pulmonary Tuberculosis with Thoracic Radiograph on ensemble Deep Learning model
A STUDY OF THE CHALLENGES FACED BY THE HOTEL SECTOR WITH REGARDS TO CYBER SECURITY
A Review on Machine Learning Approach for Predicting Cryptocurrency Prices
Communication Structure for Vehicular Internet of Things (VIoTs) and Review for Vehicular Networks
Optimization-based Watermarking Scheme for Security
Video Watermarking Techniques for Security: An Overview
Emerging IoT Applications related to Industry 4.0
Introduction Of Proprietary Software to Students for An Effective Online LearninIg
AUDIO EMOTION RECOGNITION USING MACHINE LEARNING
Banana leaf disease classification using deep learning and various boosting techniques
Internet Traffic Load During Covid-19 Pandemic
UNDERSTANDING IMMERSIVE TECHNOLOGIES FOR AUTISM DETECTION: A STUDY
A Cryptographic and Consensus-based Analysis of the Blockchain
An Analytic Study of Various Machine Learning Algorithms to Predict Heart Related Diseases
Crop Recommendation System: A Review
Big Data-Based Clustering Algorithm Technique: A Review Analysis
Design and Implementation of Sound Signal Reconstruction Algorithm for Blue Hearing System using Wavelet
A Deep Learning Model for Classification of Mental Illnesses like Depression and Anxiety via Social Network
A Novel Design of a Drain Cleaning Robotic Vehicle
Intelligent Surveillance System: Review
Adam Optimizer Based Deep Learning Approach for Improving Efficiency in License Plate Recognition
Interdependence of SGPA of preceding and upcoming semester for Computer Science undergraduates
Survey on Learning Based Super Resolution Techniques for Enhancement of Digital Images
Integrated Pathway analysis for metabolic engineering and development of better pharmaceutical products
Performance analysis of a Rotated Hexagonal Sierpinski Gasket (RHSG) fractal antenna for wireless communications
Data Security for Digital Environment
Biography
Dr Satvik Vats is an Assistant Professor in the Dept. of Computer Science and Engineering, Graphic Era Hill University, Dehradun. He received his PhD in Computer Science and Engineering from Birla Institute of Technology, Mesra-Ranchi (Deemed University), Jharkhand, India. He has published several research papers in refereed journals/Conferences of International repute (SCI/SCIE/ESCI/SCOPUS/WEB of SCIENCE) with 13 Patents and three books in his name. He has published two book chapters in books of international publishers. He is awarded the "Young Scholar Award" at the International Conference on Network and Cryptology 2020, organized by the School of Computer and Systems Sciences, Jawahar Lal Nehru University (JNU), New Delhi. Currently, he is working on "Hybrid Approach of Machine Learning Techniques" such as recommender systems and supervised and unsupervised learning with integration of Big Data analytics and deep learning concepts.
Dr Vikrant Sharma is working as an Assistant Professor in the Dept. of Computer Science and Engineering, Graphic Era Hill University, Dehradun. He received a Ph.D. in Computer Science and Engineering from the Dept. of Computer Science and Engineering, Uttarakhand Technical University in 2018. He has published several papers in reputed International Journals (SCI/SCIE) and Conferences. He has filed more than 13 utility and design patents. He is working in the field of Internet of Things, Machine learning and Wireless Sensor Networks.
Dr Karan Singh (SMIEEE) is working with the School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi. He works as a proctor and many committee members at Gautam Buddha University. He is a member of the admission and placement committee at the school level. His primary research interests are in computer networks, computer network security, Multicast communication and Software Define Networks. He supervised 20 PhD scholars and 56 M.Tech. Students. He is a reviewer of IEEE & Elsevier conferences and a reviewer of International Journals & IEEE Transactions. He is an Editorial Board Member of the Journal of Communications and Network (CN), USA. He published a hundred plus research papers in the journal SCI/SCIE/Scopus and good conferences. He organized various workshops, sessions, Conferences and training. Dr Singh worked as General Chair of the International conference (Qshine) in the year 2013 at Gautam Buddha University. He organized as Chair of the International Conference "NetCrypt 2020" at JNU, New Delhi. He was nominated for Who’s Who in World in the year 2008. Dr Singh has joined as a Professional member Association for Computing Machinery (ACM), New York, the Computer Science Teachers Association (CSTA) U.S.A, the Computer Society of India(CSI), Secunderabad, India, Cryptology Research Society of India (CRSI), Kolkata, India, Institute of Electrical and Electronics Engineers (IEEE), USA, International Association of Computer Science and Information Technology (IACSIT), Singapore, Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), America, International Association of Engineers (IAENG), Hong Kong, Association of Computer Electronics and Electrical Engineers (ACEEE), India, Internet Society(ISOC), USA and Academy & Industry Research Collaboration Center (AIRCC), India.
Amit Gupta is an Assistant Professor in the Computer Science Engineering Department, at Graphic Era Hill University, Dehradun (UK). He has done his M.Tech (CSE) from Uttarakhand Technical University. Currently, he is doing his Ph.D. (CSE) at Graphic era Hill University. He has around 18 years of Teaching Experience. His research interests include Big Data Analytics, Machine Learning, and Image Processing. He has published several research papers in international peer-reviewed journals and conferences. He has seven patents to his name.
Dibyahash Bordoloi is an Associate Professor and Head of the Department of Computer Science and Engineering at Graphic Era Hill University. Alumni of IIT Kharagpur, he carries a rich experience in both industry and academia. He worked as a developer in India's first large scale software project, the Passenger Reservation System of Indian Railways. Later he was involved in other turnkey projects like National Shipyard and London Underground. He is an IBM Global Data Science Practitioner-Instructor and also an IBM Enterprise Design Thinking Practitioner. Apart from Data Science, his areas of interest are Virtual Reality, Multimedia Search and Accessible Web.
Navin Garg is an Associate Professor in the Computer Science Engineering Department, at Graphic Era Hill University, Dehradun (UK). He has done his M.Tech (CSE) from Uttarakhand Technical University. Currently, he is doing his Ph.D. (CSE) at Graphic Era Hill University. He has around 20 years of Teaching, Training, and Research Experience. His research interests include Cellular Networks, IoT, Mobile Ad-Hoc Networks, Edge Computing & Machine Learning. He has published several research papers in international peer-reviewed journals and conferences. He has three patents to his name.
