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Partial book profile

Deep Learning Applications in Operations Research

Aryan Chaudhary, Biswadip Basu Mallik etc.

A comprehensive collection of research papers demonstrating how deep learning and machine learning models can be applied to solve complex optimization and decision-making problems in operations research and various allied domains.

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What it’s about

This book explores the transformative impact of artificial intelligence, particularly machine learning and deep learning, on the field of operations research. It showcases a diverse range of applications where these advanced computational models are used to automate complex tasks, optimize processes, and enhance decision-making across sectors like agriculture, healthcare, finance, and public safety. By presenting numerous case studies and research papers, the book explains how AI can model equations, define constraints, and analyze large datasets to find valid solutions for traditionally challenging problems. Readers will discover how to leverage these technologies to streamline operations, predict future trends, and unearth valuable data-driven insights for better business and societal outcomes.

The through-line

Who it’s for
The reader is a researcher, data scientist, engineer, or business analyst who wants to apply cutting-edge AI, machine learning, and deep learning techniques to solve complex operational and optimization problems in their field.
The problem
Traditional operations research methods are often slow, labor-intensive, and struggle to handle the complexity, scale, and non-linearity of modern datasets and real-world problems. They feel frustrated by the limitations of conventional models and are seeking more powerful, automated, and accurate ways to derive insights and make data-driven decisions.
The plan
  1. Explore a wide range of case studies applying deep learning to operations research problems.
  2. Understand the specific methodologies, from Quantum Neural Networks for crop prediction to CNNs for object detection.
  3. Implement these AI-powered, data-centric approaches to solve your own optimization and decision-making challenges.
The payoff
The reader will be able to build and deploy sophisticated AI models to automate tasks, predict outcomes with high accuracy, and solve complex operational problems. · They will become a leader in their field, capable of leveraging data-driven insights to drive efficiency, innovation, and better business decisions. · They will be able to contribute to unique research directions and the future application of AI-enabled technologies.

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