Emerging Trends in IoT and Computing Technologies

Proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022), April 22-23, 2022, Lucknow, India

Suman Lata Tripathi, Devendra Agarwal, Satya Bhushan Verma, Smrity Dwivedi, Kolla Bhanu Prakash, Bipin kumar Singh, Suman Lata Tripathi, Devendra Agarwal, Satya Bhushan Verma, Smrity Dwivedi, Kolla Bhanu Prakash, Bipin kumar Singh

• Publisher: Routledge
• Year: 2023
• eBook ISBN: 9781000803785
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Engineering
• Index: Computer Science

This book includes the proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022) held at Goel Institute of Technology & Management, Lucknow, India.

Table of contents

• Cover Page
• Half Title Page
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• Introduction
• Chapter 1 Application of artificial neural network in prediction of surface roughness while machining of AISI 4340 steel using ZTA inserts
• Chapter 2 Realignment of marketing strategies with IoT and automation – Implications, opportunities and issues
• Chapter 3 Energy efficient LSA method to increase network lifetime for wireless sensor network
• Chapter 4 A comparative examination of ML algorithms for handwritten character recognition
• Chapter 5 Thermal analysis, evaluation of economic feasibility and energy matrices (TE2 analysis) of domestic type single slope solar still
• Chapter 6 Experimental investigation of effect of the process parameters for single slope solar still using Taguchi's design approach
• Chapter 7 A comparative study on conversion of hand gestures to text and speech for blind, deaf, and mute people
• Chapter 8 A review on phytochemistry and pharmacological activity of Allamanda blanchetii
• Chapter 9 Hourly solar irradiation forecasting utilising ANFIS and simulated annealing ANFIS
• Chapter 10 Perceiving the emotions from the short-text using machine learning classifiers
• Chapter 11 Automated essay grading using long short-term memory networks
• Chapter 12 Anvil design and experimental investigation for ultrasonic welding of thin dissimilar metals
• Chapter 13 A contemporary study on MAC protocols for wireless mesh network
• Chapter 14 Mass management system for Covid-19 monitoring and managing the crowd
• Chapter 15 An IOT sensor and machine learning hardware system to monitor the mental and physical health of people
• Chapter 16 Algorithms and concepts to convert an unsecured RF transceiver into a secured one: A survey
• Chapter 17 Solar-wind hybrid inverter system
• Chapter 18 A review on design and analysis of H-frame hydraulic press
• Chapter 19 A review of various machine learning algorithms and its uses in credit card fraud detection
• Chapter 20 Flood and landmine detection over mobile app
• Chapter 21 Internet of things (IoT) applications and future trends: A review
• Chapter 22 Performance evaluation of microgrid with renewable energy sources using hybrid PSO algorithm
• Chapter 23 A systematic review of smartphones-based human activity recognition methods using machine learning process
• Chapter 24 Minimization of switching energy of domino logic circuits with T-NOT gate
• Chapter 25 Blockchain: State-of-art and applications
• Chapter 26 Data security issues and solutions in cloud computing
• Chapter 27 Facial biometric-based authenticator system: Secure ID
• Chapter 28 Performance comparison of distinct control configurations applied to PMSG drives for wind turbine applications
• Chapter 29 Skin cancer detection using deep learning and MatLab: A review
• Chapter 30 Review on automation in mango production using artificial intelligence
• Chapter 31 Hydro alcoholic extract of Holarrhena antidysenterica L. induced toxicity research in experimental animals
• Chapter 32 SwissADME: An in-silico ADME examination tool
• Chapter 33 Gene polymorphism associated in head and neck cancer
• Chapter 34 To detect fake identities in Twitter using machine learning models
• Chapter 35 Evaluation of machine learning algorithms for the detection of fake bank currency
• Chapter 36 A study on handwritten character recognition with neural network
• Chapter 37 Plant leaf disease classification using MobileNetV2
• Chapter 38 Dog breed classification using deep learning
• Chapter 39 Parts of speech tagging tagsets for Penn Treebank: A survey
• Chapter 40 Spinal muscular atrophy: An orphaned deadly disease yet to get generalised approved therapeutic regimen
• Chapter 41 Fault detection and maintenance prediction for an industrial gearbox using machine learning approaches
• Chapter 42 An automated identification of animal species using image processing techniques and convolutional neural network
• Chapter 43 Blockchain and NoSQL jointly improve the quality of big data, security and performance
• Chapter 44 Eight-fold supervised non-parametric skin-segmentation
• Chapter 45 A review on modern WSN architectures and its application
• Chapter 46 Securing blackhole attacks in MANETs using improved sequence number in AODV routing protocol: A review
• Chapter 47 Image based blockchains: A comparative study
• Chapter 48 Software development estimation using soft computing techniques
• Chapter 49 Biological potential of lycorine: A summary update
• Chapter 50 Cookie visualiser - Browser independent visualisation of cookies stored on your personal computer
• Chapter 51 Stroke robotics for functional recovery
• Chapter 52 The simulation study of small-signal C-E amplifiers and Darlington amplifiers
• Chapter 53 Geometry vibrational and NBO analysis of thiazole derivative (Z)-4-{[4-(3-methyl3-phenylcyclobutyl)thiazol-2-yl]amino}-4-oxobut-2-enoic acid
• Chapter 54 Quantum chemical study of thiazole derivative cyclobutyl molecule C18H18N2O3S
• Chapter 55 Simulation study of small signal common source amplifier using series and parallel networks of like fetes through PSPICE
• Chapter 56 A multimodal approach of information access and retrieval using neutrosophic sets
• Chapter 57 In India, managing the Covid-19 pandemic: Threats and achievements
• Chapter 58 A review on the domestic factors affecting on child's development
• Chapter 59 Traffic jam detection using CNN and KNN algorithms
• Chapter 60 Approaches for idiom-based Hindi to English translation
• Chapter 61 The modern internet of things with blockchain: IoT-B
• Chapter 62 Recognition of child's psychological activities influenced with domestic and societal factors using machine learning techniques
• Chapter 63 Graph-based technique in rental management system
• Chapter 64 Time series analysis of stocks using deep learning
• Chapter 65 Lung infection intensive analysis of CT-scans during COVID-19 using deep learning
• Chapter 66 Security attacks, service primitives and architectural classification of vehicular ad-hoc network (VANET)
• Chapter 67 A novel framework for camera-based eye gaze estimation
• Chapter 68 Graph convolutional neural networks for distributed recommender and prediction systems
• Chapter 69 A review study on COVID-19 disease detection from X-ray image classification using CNN
• Chapter 70 Handwritten character recognition using machine learning and deep learning
• Chapter 71 Statistical evaluation of e-learning through virtual lab for haemodialysis machine: Barriers and future scope
• Chapter 72 Evaluation of the effect of oil extracts of Moringa, Rosemary and neem plants on some pathogenic bacteria
• Chapter 73 IoT-based detection of parking slot in EV charging station
• Chapter 74 Segmentation of brain tumour using particle swarm optimisation
• Chapter 75 Deep learning models for object recognition and quality surveillance
• Chapter 76 Analysis of various image processing approaches in detecting and predicting lung cancer
• Chapter 77 Domino logic buffer circuit with reduced voltage swing for energy efficient application
• Chapter 78 Intelligent rental management system using web semantics
• Chapter 79 Malarial parasite detection using machine learning
• Chapter 80 Comparative study of efficient automated multiple disease diagnosis model using ensemble learning
• Chapter 81 A literature review on stocks price prediction using DASH and machine learning model
• Chapter 82 Review on medicinal plants recognition techniques
• Chapter 83 Wireless charging facility for electric vehicle through road surface
• Chapter 84 Prediction of flood using advanced approaches of machine learning and python
• Chapter 85 Tracking the influence of wearables in remote patient recovery
• Chapter 86 Comparative study on IoT-based system for enhancing air pollution forecasting accuracy and air quality index monitoring
• Chapter 87 Review of the low noise amplifier CMOS design performance based on analysis in RF applications
• Chapter 88 Review on the recent developments in low dropout regulator technology in integrated circuits
• Chapter 89 Skin cancer detection using deep learning and MatLab: A review
• Chapter 90 Renewable natural ester oil an alternative resource to mineral oil and their physical chemical dielectric properties for transformer insulation oil
• Chapter 91 Assessing talent retention strategies for sustainability in private banks
• Chapter 92 Segmentation of leukemic blood cell images using deep learning algorithm and image processing techniques
• Chapter 93 Review on hybrid integration of grid connected renewable energy system for controlling voltage and power
• Chapter 94 Prediction of weather forecasting condition for smart crop-cultivation assisted by machine learning
• Chapter 95 New Era of Security analysis in Cryptography: Post Quantum Cryptography
• Chapter 96 Data hiding in the coloured image using LSB and histogram technique
• Chapter 97 Software defect identification with hybrid and extra tree models
• Chapter 98 Literature review on query optimisation in deep reinforcement learning
• Chapter 99 Comprehensive analysis of evolutionary computational approaches for feature selection