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Machine Learning and Optimization for Engineering Design 1st Edition by Apoorva S Shastri, Kailash Shaw, Mangal Singh ISBN 9789819974559 9819974550

Name: Machine Learning and Optimization for Engineering Design 1st Edition by Apoorva S Shastri, Kailash Shaw, Mangal Singh ISBN 9789819974559 9819974550
SKU: EB-54690038
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Machine Learning and Optimization for Engineering Design 1st Edition Apoorva S. Shastri Digital Instant Download

Author(s): Apoorva S. Shastri, Kailash Shaw, Mangal Singh, (eds.)

ISBN(s): 9789819974559, 9789819974566, 9819974550, 9819974569

Edition: 1

File Details: PDF, 13.02 MB

Year: 2023

Language: English

SKU: EB-54690038 Category: Computers - Artificial Intelligence (AI) Tags: (eds.), Apoorva S. Shastri, Kailash Shaw, Mangal Singh

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Machine Learning and Optimization for Engineering Design 1st Edition by Apoorva S Shastri, Kailash Shaw, Mangal Singh – Ebook PDF Instant Download/Delivery: 9789819974559 ,9819974550
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Product details:

ISBN 10: 9819974550
ISBN 13: 9789819974559
Author: Apoorva S Shastri, Kailash Shaw, Mangal Singh

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 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 and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.

Machine Learning and Optimization for Engineering Design 1st Edition Table of contents:

A Short Review of Machine Learning Techniques for Thermal, Energy and Electrical Engineering Applications
Design of Intelligent ICT Irrigation System Using Crop Growth Big Data Analysis
OpenCV and MQTT Based Intelligent Management System
A Machine Learning Model for Student’s Academic Success Prediction
Intelligent Agro-Industry for Crop Production Considering Soil Properties and Climatic Variables to Boost Its Efficiency
Disease Classification in Cassava Plant by Artificial Neural Network
Exploring the Synergies: A Comprehensive Survey of Blockchain Integration with Artificial Intelligence, Machine Learning, and IoT for Diverse Applications
Loan Eligibility Verification by Using Ensemble ML Techniques
An Intelligent System for the Classification of Dental Problems Based on Bayesian Regularization Neural Network
Development of Smart Home System Based on EEG

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Tags: Apoorva S Shastri, Kailash Shaw, Mangal Singh, Machine Learning, Engineering Design