Machine Learning and Optimization for Engineering Design is popular PDF and ePub book, written by Apoorva S. Shastri in 2024-01-08, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Optimization for Engineering Design can be Read Online from any device for your convenience.

Machine Learning and Optimization for Engineering Design Book PDF Summary

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.

Detail Book of Machine Learning and Optimization for Engineering Design PDF

Machine Learning and Optimization for Engineering Design
  • Author : Apoorva S. Shastri
  • Release : 08 January 2024
  • Publisher : Springer
  • ISBN : 9819974550
  • Genre : Computers
  • Total Page : 0 pages
  • Language : English
  • PDF File Size : 8,9 Mb

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