Automation and Computation

Proceedings of the International Conference on Automation and Computation, (AutoCom 2022), Dehradun, India

Satvik Vats, Vikrant Sharma, Karan Singh, Amit Gupta, Dibyahash Bordoloi, Navin Garg, Satvik Vats, Vikrant Sharma, Karan Singh, Amit Gupta, Dibyahash Bordoloi, Navin Garg

• Publisher: CRC Press
• Year: 2023
• Print ISBN:
  9781032367231
• eBook ISBN:
  9781000937114
• Topic: Computer Science
• Subtopic: Civil Engineering
• Index: Computer Science

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.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Committee Members
• 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 monitoring smart system
• 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
• 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 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 learning
• 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
• Author index