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[PDF][PDF] Software reliability prediction using ensemble learning on selected features in imbalanced and balanced datasets: A review
Redundancy, correlation, feature irrelevance, and missing samples are just a few problems
that make it difficult to analyze software defect data. Additionally, it might be challenging to …
that make it difficult to analyze software defect data. Additionally, it might be challenging to …
Applications of machine learning in industrial reliability model
SK Rath, MK Sahu, SP Das - … of Research on Applications of AI …, 2023 - igi-global.com
The chapter examines ML methods that appear to be applied in implementing systems with
intelligent behaviour. It depends on two workshops on learning in system of intelligent …
intelligent behaviour. It depends on two workshops on learning in system of intelligent …
A novel hybrid JAYA optimization algorithm and extreme learning machine classifier (JAYA-ELM) for software reliability prediction<? pag\vspace*{-6pt}?>
SK Rath, M Sahu, SP Das… - Intelligent Decision …, 2024 - journals.sagepub.com
Context Software reliability<? show [AQ ID= GQ2 POS=-24pt]?><? show [AQ ID= GQ5 POS=
12pt]?> prediction uses historical data analysis to identify software components prone to …
12pt]?> prediction uses historical data analysis to identify software components prone to …
Comprehensive Survey of IoT, Machine Learning, and Reliability Engineering for Healthcare Applications
SK Rath, M Sahu, SP Das - Healthcare-Driven Intelligent …, 2024 - taylorfrancis.com
The emergence of constant sicknesses like COVID-19 has re-underlined the need for
residents all around the world to approach pressing healthcare. The recent pandemic has …
residents all around the world to approach pressing healthcare. The recent pandemic has …