ABSTRACT
This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this volume aims to shed light on the complexities of ICCT and offer innovative solutions for researchers, practitioners, and students.
Building on its exploration of challenges in ICCT, this book delves into several core areas. These include the development and deployment of secure and efficient communication networks, the ethical implications and technical hurdles of artificial intelligence and machine learning, and the promise and complexity of quantum computing. The book also addresses the management of big data, highlighting both its potential and the challenges of ensuring data privacy and security. Additionally, it examines the role of sustainability in computing, advocating for greener technologies and practices. The findings presented in this volume emphasize the need for interdisciplinary approaches and innovative thinking to address these challenges, offering insights that are both practical and forward-looking.
This book is intended for a diverse audience that includes researchers, practitioners, and students in the fields of Information, Communication, and Computing Technology (ICCT). It is particularly valuable for academics and professionals seeking to deepen their understanding of current challenges and emerging trends in these areas. Additionally, policymakers, industry leaders, and technologists will find the book's insights useful for informing decisions and strategies in the development and implementation of advanced technologies. Whether you are a seasoned expert or a newcomer to the field, this book provides valuable perspectives that can enhance your knowledge and contribute to your work in ICCT.
The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
TABLE OF CONTENTS
part |164 pages
Computer vision and IoT
chapter |5 pages
An integrated mobile solution for smart irrigation management and monitoring with IoT technology
chapter |6 pages
Creating and deploying a wearable sensor network system for safety and health applications in the IoT ecosystem
chapter |6 pages
Creative sustainability: Transforming household waste in India – A public survey on awareness and participation
chapter |5 pages
Design and development challenges of TCLA adder for low power applications: A review
chapter |6 pages
Detection and prevention of IP address spoofing in smart environment using Zigbee networks
chapter |6 pages
Development of cloud infrastructure with improved auto scaling and elasticity with real time data analytics
chapter |6 pages
Empowering troop safety with advanced position and health monitoring using LoRa
chapter |6 pages
Enhancing sustainability and efficiency through automation and wireless sensor network-controlled irrigation system
chapter |6 pages
Exploring advanced learning capabilities in an Internet of Things (IoT) based smart plant irrigation system
chapter |6 pages
Facial recognition attendance system: Embracing openCV for real-time monitoring
chapter |6 pages
Health guardian: Employing machine learning for early detection and management of chronic diseases to improve healthcare and patient outcomes
chapter |6 pages
IoT adoption with AI for enhancing operational resilience in business transformation
chapter |6 pages
Li-Fi-enabled smart indoor navigation system with obstacle detection and voice assistance for visually impaired individuals
chapter |6 pages
Multi-sensor approach leveraging IoT for comprehensive wildlife conservation: Addressing threats and enhancing monitoring efficiency
part |290 pages
Healthcare and medicine using computing technology
chapter |6 pages
Security-driven data analytics for secure patient monitoring in healthcare application using secure hash algorithm (256)
chapter |6 pages
Design of fabric-based textile antenna for enhanced healthcare monitoring systems
chapter |6 pages
Revolutionizing healthcare: Unveiling the transformative impact of AI and deep learning in the era of intelligent medicine
chapter |5 pages
Practicing mindfulness through web-based technologies during Covid-19 scenario
chapter |6 pages
An in-depth analysis of gastrointestinal abnormalities using endoscopic imaging and deep learning
chapter |6 pages
Improved health record management with disease forecasting in urban areas using deep learning with blockchain technology
chapter |6 pages
Identification of neurodegenerative disease using genomic data using deep learning algorithms
chapter |4 pages
Molecular docking studies of selected target proteins of Candida auris employing machine learning (ML) methods
chapter |5 pages
A survey on machine learning inspired healthcare informatics studies of COVID-19 disease
chapter |5 pages
Enhancing thyroid disorder diagnosis with machine learning: Overcoming challenges for accurate detection
chapter |6 pages
Construction of big data platform for Indian herbal medicine based on data acquisition
chapter |5 pages
Nursing in the digital age: A study of transformative impact of AI on healthcare practices
chapter |7 pages
Brain tumor detection using integrated approach of FCM & convolutional neural network
chapter |6 pages
Leveraging MobileNet for efficient deep learning classification of poly cystic ovary syndrome (PCOS) in ultrasound images
chapter |6 pages
Detection of early spread of vector borne disease with personalized treatment strategies using machine learning
chapter |7 pages
Predictive modeling for water borehole drilling using machine learning techniques
chapter |6 pages
Exploring machine learning methods for breast cancer detection: A comparative analysis of classification techniques
chapter |5 pages
Improved plant leaf disease classification using meta-heuristic algorithm based deep learning
chapter |6 pages
Machine learning based optimization of resource management with control strategies in smart grid using IoT
chapter |6 pages
COVID-19 prediction classification models comparison by patient's symptoms and medical history
chapter |5 pages
Lung cancer detection using Resnet architecture: Lung nodule detection in CT images
chapter |6 pages
Demystifying heart disease prediction: The role of iris imaging and explainable AI
chapter |5 pages
Diagnosis of autism spectrum disorder using deep learning with natural language processing
chapter |6 pages
Exploring machine learning and deep learning models for forecasting bitcoin price trends
chapter |5 pages
Machine learning and deep learning approaches for brain disease diagnosis: Principles and recent advances
chapter |7 pages
An integration of electrical vehicle into grid along with hybrid energy storage system for power management
chapter |6 pages
Enhancing rice grain classification using color features and self learning neural network model
chapter |6 pages
Assessment of organizational human resource management performance through machine learning techniques
chapter |6 pages
Comparative analysis of multi-class classification deep network for MRI images using ML based augmentation technique
chapter |6 pages
Revolutionizing cirrhosis liver disorder diagnosis: A deep learning approach with convolutional neural networks
part |86 pages
Agriculture and environment using AL, DL
chapter |6 pages
Automated tomato disease detection and classification using image processing and machine learning for precision agriculture
chapter |6 pages
Detection and reporting of wildfires in forests using a wireless sensor network
chapter |6 pages
Enhancing weather prediction and forecasting for agricultural applications using machine learning
chapter |5 pages
Using machine learning algorithms to predict crop production and recommend fertilizer
part |34 pages
Industry 4.0 and 5.0
chapter |7 pages
AI-optimized electrical wiring harness design for automotive applications (Connector selection)
chapter |7 pages
Improved quality control techniques in manufacturing sector through image anomaly detection in industry 4.0
chapter |7 pages
Machine learning-driven predictive maintenance for enhanced production management in the manufacturing industry
part |192 pages
AI, ML, and data science
chapter |4 pages
An automated computerized method for the detection of fire using novel deep learning based method
chapter |5 pages
Business analysis using Long-Short Term Memory (LSTM) networks: A deep learning approach
chapter |5 pages
Comparative analysis of BERT-Pipelines in SQuAD and MedQuAD question answering
chapter |5 pages
Deep learning algorithms for the detection and categorization of pneumonia in chest X-rays
chapter |6 pages
Deep learning insights into seasonal crop mapping: enhancing agricultural productivity through advanced neural networks
chapter |6 pages
Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes
chapter |5 pages
Psychological capital as a predictor of work-related outcomes: In-role performance and organisational citizenship behaviour
chapter |6 pages
Unmask the fraudulent: Real-time detection of fake instagram profiles with enhanced transparency using LIME interpretable
chapter |6 pages
Utilization of machine learning techniques for the early prediction and management of lung cancer patients
part |56 pages
Emerging technologies using computing methodologies
chapter |6 pages
Development of energy energy-efficient wireless communication network using green 6G with edge computing
chapter |6 pages
Shape: Machine learning model for early fish disease prediction by checking water quality
chapter |6 pages
Technology-driven facilitators for sustainable tourism: A case study of Rishikesh, the yoga capital of the world
part |42 pages
Specific topics
