Explainable Artificial Intelligence-based Industrial Internet of Things

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.

Surendra Reddy Vinta is currently working as the Associate Professor of the School of Computer Science and Engineering, VIT-AP University, Amaravathi (India). His area of interests includes Image Processing, Machine Learning, Deep Learning,NLP, Computer Vision, Features extraction, and Programming, such as Digital Image Processing, Feature Extraction, Machine Learning, Deep Learning, NLP, Computer Vision, C, Python, Data Structure, C++, C# and Java.

Sagar Dhanraj Pande is working as an Assistant Professor Senior Grade at VIT-AP University, Amaravati, Andhra Pradesh, India. His research interest is Deep Learning, Machine Learning, Network Attacks, Cyber Security, and the Internet of Medical Things (IoMT).

Aditya Khamparia is currently working as an Assistant Professor and Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. His research interest includes machine learning, deep learning, educational technologies, computer vision.