Titlebook: Machine Learning and Optimization for Engineering Design; Apoorva S. Shastri,Kailash Shaw,Mangal Singh Book 2023 The Editor(s) (if applica

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,A Machine Learning Model for Student’s Academic Success Prediction,demic and non-academic followed by exploratory data analysis. The dataset is subjected to decision trees and multilayer perceptron algorithms with regression analysis. Precision recall values are calculated using different attributes sets. Testing accuracy of j48 algorithm with all attributes is maximum which is greater than 90%.

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2731-4049 on optimization engineering.Presents state-of-the-art resear.This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development

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Exploring the Synergies: A Comprehensive Survey of Blockchain Integration with Artificial Intelligeficial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) describing potential benefits and challenges. It looks at the current problems and challenges in the field as well as prospective directions for future study into how to combine blockchain with AI, ML, and IoT.

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Book 2023he field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems

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978-981-99-7458-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Machine Learning and Optimization for Engineering Design978-981-99-7456-6Series ISSN 2731-4049 Series E-ISSN 2731-4057