Intelligent Decision Support System for IoT-Enabling Technologies.

✍ Scribed by Sahana S.

• Publisher: Nova Science Publishers, Inc.
• Year: 2024
• Tongue: English
• Leaves: 346
• Category: Library

✦ Synopsis

This book focuses on the Internet of Things (IoT) and Decision Support Systems to proffer preventive and intelligent systems. The major areas covered in this book are IoT challenges and opportunities, IoT-enabling technologies, decision support systems, smart applications, and intelligent systems to satisfy the goals of societal and economic issues. This book includes various problems in healthcare, insurance, and agricultural sectors. Intelligent and IoT-based applications like healthcare systems, intelligent transportation systems, business intelligence, and artificial intelligence in sustainable agriculture are extensively discussed in various chapters. IoT and Machine Learning Applications for the industrial sector are also highlighted. This book is most suitable for data scientists, doctors, engineers, economists, and specialists in the agricultural sector. This book will benefit the UG/PG and research scholars to understand various domains like agriculture, insurance, enviroment and healthcare sectors with applications of IoT, machine learning, Artificial Intelligence etc.

✦ Table of Contents

Contents
Preface
Chapter 1
IoT-Based Smart Agriculture: Enhancing Agricultural Practices with Robotics and Cloud Computing Applications
Abstract
Introduction
Background
Applications in Agriculture Sector
Soil Sampling
Irrigation
Fertilizer
Disease and Pest Control
Crop Yield Monitoring
Communication Technologies in Farming
Cloud Computing
Smart Phones
Cellular
Zigbee
Bluetooth
UAVS and Robotics
Crop Harvesting Robots
IOT-Based Tractors
Wireless Sensors
FPGA Sensors
Acoustic Sensors
Optical Sensors
Ultrasonic Sensors
Airflow Sensors
Optoelectronic Sensors
Electrochemical Sensors
Mechanical Sensors
Electromagnetic Sensors
Eddy Covariance-based Sensors
Mass Flow Sensors
LiDAR
SWLB Sensors
Remote Sensors
Telematics
Current Challenges and Future Scope
Wireless Sensors for Agricultural Application
Machine Learning
UAVs and Robots
Renewable and Smart Grids
Vertical Farming (VF)
Communication
Conclusion
References
Chapter 2
The Impact of IoT on the Environment: A Descriptive Study in India
Abstract
Introduction
Literature Review
Objectives
Methodology
Results and Discussion
Optimization of IoT Devices for Environmental Sustainability
Architect for Devices to Reduce Anthropocene
IOT and Small Business in Maintaining Sustainability Standards
Sustainability-Related Internet of Things Applications
IOT Applications for Environmental Sustainability
Water Leak Management
Predictive Servicing
Environmental Surveillance
Case Study 1: Smart Energy Management
Case Study 2: Air Quality Monitoring
Case Study 3: Water Quality Monitoring
Case Study 4: Toxic Gas Detection
Case Study 5: Smart Waste Management
Case Study 6: Smart Agriculture
Case Study 7: Cold-Chain Management
Discussion from Case Studies
Decreased Costs Associated with Operations
Increased Productivity While Maintaining a Secure Working Environment
Better Client Experiences
Additional Information Regarding the Company
Confidentiality and Safety
Problem with the Technology
Reliance upon Availability of Power and Connectivity
Price Increases Overall (Time and Money)
Conclusion
References
Chapter 3
A Smart Internet of Things (IoT) Enabled Agricultural Farming System
Abstract
Introduction
Problem Statement
Technical Objectives
The Process and Elements in the System
Technical Roll Out
Sensors Used
Soil Moisture Sensor
Digital Humidity and Temperature Sensor (DHT11)
Modules Used
Wi-Fi Module (ESP8266) (ESPRESSIF)
Firebase
View Data through Mobile Application
Control of Watering Based on Moisture Value
Water Pumping Motor
Control of Temperature Based on DHT11 Temperature Value
DC Cooling Fan
Implications
Social Impact
Economic Aspect
Conclusion
References
Chapter 4
IoT and Machine Learning Applications for Industrial Reliability Frameworks
Abstract
Introduction
Research Techniques and Their Impact
Several Machine Learning Paradigms
Industrial Applications
Design
Organizing Processes
The Identification and Handling of Machining Features
Group Technologies and Machining Cells
Organization and Decision-Making
Planning the Order of Operations
Breach during Development of ML Solution
An Archive of Attacks That Have Been Carefully Selected
Machine Learning with Adversarial Security Code
Machine Learning Systems: Dynamic and Static Analysis
Systems Using Machine Learning for Logging and Auditing
Monitoring and Detection of ML Systems
Analytics, Machine Learning, and Data
Analytics for Manufacturing Using Machine Learning
Machine Learning Analytics for Banking and Finance
Machine Learning-Based Healthcare Analytics
Analytics for Marketing Using Machine Learning
Artificial Intelligence in the Retail Industry
Consumer Analytics Using Machine Learning
Research on Predictive Maintenance
The Proposed Approach
Possibilities for Further Research
Conclusion
References
Chapter 5
An IoT-Enabled Model for COVID-19 Patient Healthcare
Abstract
Introduction
Therapeutic and Medicinal Services
Literature Review
IoT Healthcare Uses
Diminishing Emergency Room Wait Times
Remote Health and Monitoring
Guaranteeing This Availability and Accessibility of Critical Hardware
Following Staff, Patients and Inventory
Improved Drug Management
Tending to Chronic Disease
Difficulties to Embrace IoT in Healthcare
Security and Security of Patient Information
Lack of Consistency among Associated Cell Phones
Vulnerable Information Transmissions
Patient Status
Awareness About IoTs
Analysis Paralysis
Examples of IoT in Healthcare
Treating This Development of Cancer
Shot Circle (Mechanized) Insulin Convection
Associated In-Halers
The Vast Land scape of Healthcare Stakeholders and IoT Possibilités
Accélération in All IoT Use Case and Applications in Healthcare Ahead
The Internet of Things and Healthcare Information System
Healthcare Data: Working with Propose and Security in Mind
IoT and Its Background for COVID-19 Pandemic
Proposed Model Covid Med Map: A Health Monitoring System
Issues and Future Scope of the Study
Conclusion
References
Chapter 6
A Healthcare Revolution in Cross Domain Applications Using Advanced Computational Techniques
Abstract
Introduction
Forensic Science
Molecular Imprinting
Deoxyribonucleic Acid (DNA)
Fingerprint
MEMS and Machine Learning
MEMS and ML as Smart Wearable Health Monitoring Devices
MEMS and ML in Real Time Robot status prediction
MEMS and ML in Rainfall Prediction
Machine Learning for Speaker Recognition in MEMS Microphone
Corona Virus a Pandemic
COVID-19 Tests
Genetic Antigenic and Serological Tests
FET Based Biosensor
MEMS Based RT-PCR Chip
BIO FED’s Based Biosensor
Conclusion
References
Chapter 7
Predictive Analytics and Deep Learning Models for the Prediction of the Length of Stay, Diabetes, Colorectal Cancer and Cardiovascular Diseases in Patients
Abstract
Abbreviations
Introduction
Deep Learning and Predictive Health Care Analytics
Healthcare Prediction Modelling
Overview for Prediction in Length of Stay (LOS), Diabetes, Cardiovascular Diseases, and Colorectal Cancer
Colorectal Cancer
Literature Review Based on Predictive Analytics for Length of Stay (LOS), Diabetes, Cardiovascular Diseases, and Colorectal Cancer
Predictive Modelling for Predicting Diabetes in Patients Related Work
Predictive Analytics for Cardiovascular Diseases Prediction Related Work
Predictive Modeling to Predict Colorectal Cancer Related Work
Predictive Methods for Length of Stay (LOS), Diabetes, Cardiovascular Diseases, and Colorectal Cancer
Modelling and Evaluation Length of Stay (LOS) Prediction in Patients
Modelling
Evaluation
Modelling and Evaluation in Diabetes Prediction
Modelling
Evaluation
Modelling and Evaluation for Prediction of Cardiovascular Diseases
Modelling
Apriori Algorithm
Weighted Confidence
Evaluation
Modelling and Evaluation for Colorectal Cancer Prediction
Modelling
Evaluation
Results and Discussion
Results Matrix for Predicting Length of Stay (LOS) in patients
Results Matrix for Diabetes Prediction
Results Matrix for Prediction of Cardiovascular Diseases
Results Matrix for Colorectal Cancer Prediction
Future Work
Conclusion
Length of Stay (LOS)
Diabetes
Cardiovascular Diseases
Colorectal Cancer
References
Chapter 8
Wireless Sensor Network Based Crop-Growth Monitoring Using Derived-Parameters in an Intelligent Greenhouse
Abstract
Introduction
Intelligent Greenhouse (IGH)
WSN Based Monitoring in Intelligent Green house
Hardware Unit
Sensors
Data Acquisition Unit
Data Processing Unit
Communication Unit (RF Transceiver)
Power Supply Unit
Software Modules
Operating System
Sensor/Actuator Drivers
Data Networking Stack
Factors Affecting Plant Growth in Greenhouse
Micro-Climatic Parameters
Temperature of the Atmosphere Inside Greenhouse
Humidity Inside the Green House
Photosynthetic Active Radiation
Carbon Dioxide Concentration
Soil Parameters
Soil Moisture
Soil Temperature
Micro-Nutrient Level in Soil
Derived Micro-Climatic Parameters
Vapor Pressure Deficit (VPD)
Temperature Humidity Index (THI)
Soil Respiration (SR)
Mathematical Models for Derived Parameters
Vapor Pressure Deficit (VPD)
Temperature Humidity Index Models
Regression Models
Rothfusz Model
National Weather Service (NWS) Model
Formula Based Models
Kibler Model
NOAA (1979) Model
Carl Scheon Model
SR Models
Monitoring Algorithmes
Individual Parameters Monitoring
VPD Monitoring Algorithm
THI Monitoring Module
SR Monitoring Module
Conclusion
References
Chapter 9
Machine Learning-Based Google App Store Cataloging Using a Naive Bayes Algorithm
Abstract
Introduction
Prediction and Analysis
Problem Statement
Review of Literature
Classification Issues Solvés Using Naive Bayes Algorithm
Algorithms
Random Forest
Support Vector Machines
Naive Bayes Algorithm
Random Forest Algorithm
System Implementation
Input and Output Designs
Logical Layout
Design of Physical Architecture
Representation of Input and Output
Input Design
Purposes
Output Layout Design
Output Screens
Graphs
Predictions
Output of Predictions
Conclusion
References
Chapter 10
Barriers to Digital Transformation: A Case Study of the Insurance Industry
Abstract
Introduction
Digital Transformation
Internet of Things
Artificial Intelligence
Activities in Change - The Insurance Industry
Framework – Barriers
Competence Barriers
Technical Barriers
Individual Barriers
Organizational and Cultural Barriers
Environmental Barriers
Method
Case Study - Policybazaar and Bankbazaar
Data Collection
Data Analysis
Method Discussion
Results and Analysis
Competence Barriers
Technical Barriers
Data Analysis
Individual Barriers
Organizational and Cultural Barriers
Environmental Barriers
Discussion
Digital Transformation of the Insurance Industry
Identified Barriers in the Insurance Company
Barrier Framework for the Service Sector
Conclusion
References
Chapter 11
An IoT-Based Intelligent Healthcare System for Diabetes Prediction
Abstract
Introduction
IoT Architecture
Objective
Organization of Chapter
Literature Review
IoT Protocols in Healthcare
Machine Learning in Healthcare
Common Issues with Existing System
Suggested Design and Mechanism
Methodology
Performance Analysis and Results
Results of Machine Learning Classifier
Conclusion
References
Chapter 12
Technological Scrutiny on Energy-Harvested Wireless Sensors for IoMT Healthcare Systems
Abstract
Introduction
Methodology
IoMT Ecosystem
Benefits and Limitations of IoMT
Patient Advantages
Equipment Manufacturers
Healthcare Providers
Technical Challenges
Market Challenges
Technologies Enduing IoMT
Local System and Control Layer
Device Connectivity and Data Layer
Application and Analytic Solution Layer
Connected Medical Devices
Stationary Medical Devices
Benefits of Stationary Medical Devices in IoMT
Limitations of Stationary Medical Devices in IoMT
Implanted Medical Devices
Some Examples of Implanted Medical Devices in IoMT
Benefits of Implanted Medical Devices in IoMT
Limitations of Implanted Medical Devices in IoMT
Wearable External Medical Devices
Some Examples of Wearable External Medical Devices in IoMT
Benefits of Wearable External Medical Devices in IoMT
Limitations of Wearable External Medical Devices in IoMT
IoMT-Based Energy Efficiency System
Energy Conservation
Factors for Energy Wastage and Communication
Applications of IoMT
Tele Heath
Improved Drug Management
Chronic Disease Management
Prospects of IoMT
Conclusion
References
About the Editors
Index
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