Explainable Artificial Intelligence-based Industrial Internet of Things

Technologies and Applications

Surendra Reddy Vinta, Sagar Dhanraj Pande, Aditya Khamparia

• Publisher: CRC Press
• Year: 2025
• Topic: Technology & Engineering
• eBook ISBN:
  9781040660089
• Subtopic: Computer Engineering
• Index: Technology & Engineering

The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries. It further discusses important topics such as the strategic utilization of explainable artificial intelligence in supply chain enhancement, the integral role of explainable artificial intelligence in smart farming and smart cities with the industrial Internet of Things integration.

Features:

• Discusses local interpretable model-agnostic explanations, and Shapley additive explanations for transparent data analysis, modeling, and prediction
• Highlights the importance of using artificial intelligence (AI) in optimizing processes by studying decision-making interpretability in supply chain optimization
• Explains the use of explainable artificial intelligence to optimize supply chains by predicting demand, identifying bottlenecks, and making informed decisions about inventory management
• Illustrates the benefit of employing explainable artificial intelligence in optimizing resource utilization, improving decision-making, and creating more efficient and sustainable ecosystems
• Explores the integration of explainable artificial intelligence into smart appliances to provide insights into their operations and improve user experience

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and information technology.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• About the Editors
• List of Contributors
• 1 Enhancing substation maintenance and anomaly detection through image processing, Explainable AI and Industrial Internet of Things (IIoT)
• 2 Real-time cardiovascular health monitoring using ECG, ML models, and interpretation using Explainable AI methods (LIME and SHAP) within IIoT systems
• 3 Enhancing brain tumour detection and classification with vision transformers, ensemble models, and Explainable AI in an Industrial IoT framework
• 4 Advancements and applications of Explainable Artificial Intelligence (XAI) in smart cities: Enhancing user perception, decision-making, and behavioural insights
• 5 Amplifying song clustering with Explainable AI and Hybrid Deep Learning for Industrial IoT applications in music recommendation systems
• 6 Prediction of e-Mental health of user using machine learning models and Explainable AI methods with IoT devices
• 7 Automatic detection of heart disease with IIoT and enhanced explainable learning (EXAI) approach
• 8 Explainable AI and its contributions to smart cities, smart homes, and eHealth
• 9 EFL lecturers’ and students’ academic writing experience and challenges in using Explainable AI and Industrial Internet of Things (IIoT) writing tools: A qualitative study
• 10 Designing trustworthy IIIoT intrusion prevention systems using Explainable AI techniques
• 11 Leveraging Explainable AI for threat detection in Industrial IIoT-based intrusion prevention systems
• 12 Hybrid ensemble optimisation and Explainable AI for  robust IIoT decision-making
• 13 Transparent and reliable AI for real-time facial expression recognition in IIoT and healthcare
• 14 Brain tumor classification integrating deep learning, Explainable AI, and Industrial IoT (IIoT) with GRAD-CAM for biomedical imaging
• 15 DepressNet-HO: An Explainable AI framework for depression detection in IIoT applications
• Index