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Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT)
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Author(s): J. Arockia Venice (DMI-St.Eugene University, Zambia), R. Vettriselvan (Academy of Maritime Education and Training, India), Shaleen Jain (Saraswathi Institute of Medical Sciences, Hapur, India), K. Madusudanan (School of Computer Science and Applications, REVA University, India)and C. Catherene Julie Aarthy (MEASI Institute of Management, India)
Copyright: 2025
Pages: 36
Source title:
Transforming Education With AI-Powered Personalized Learning
Source Author(s)/Editor(s): Houssem Chemingui (Brest Business School, France), Munir Ahmad (Survey of Pakistan, Pakistan)and Suela Bylykbashi (Brest Business School, France)
DOI: 10.4018/979-8-3693-8382-7.ch006
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Abstract
This chapter delves into the performance evaluation of blockchain-integrated Artificial Intelligence (AI) and Machine Learning (ML) in Cognitive Internet of Things (CIoT) systems, focusing on data analytics. We examine metrics for assessing the precision and accuracy of CIoT systems enhanced by blockchain technology. The chapter outlines experimental designs for evaluating these systems, comparing their performance with traditional AI/ML data analytics that do not use blockchain. Benchmarking methods are discussed to measure and contrast the effectiveness of blockchain-enabled data analytics. Through these evaluations, we provide insights into the practical advantages of incorporating blockchain with AI/ML to improve data analytics in CIoT applications.
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