Full Description
The book is an important resource to effectively combat these challenges and guide businesses and institutions toward success. Today's world is experiencing a period in which, on the one hand, technical advances, innovations, and changes are developing at an increasingly rapid pace, and on the other hand, uncertain global challenges are emerging. Managers in the field of engineering and technology must skillfully manage this complexity and uncertainty.
Reasons to Consider Reading This Book:
· Acquiring advanced methodologies and tools to efficiently oversee engineering and technology projects, especially in highly volatile circumstances.
· Gaining valuable insights from industry experts and experienced professionals as they impart their knowledge, expertise, and groundbreaking ideas.
· Experiencing practical approaches for learning effective strategies and tangible techniques to improve productivity, maximize resources, and promote creativity.
The book helps
· Engineers and technologists to be able to find solutions to the problems they encounter with the most up-to-date methods.
· Business leaders to be able to have a deep understanding of how to effectively leverage technology to achieve strategic advantage and ensure the resilience of their companies
· Students and educators to be able to acquire new knowledge by combining academic knowledge with practical application
This book serves as a comprehensive guide that provides a clear path to adaptability, creativity, and achievement in an uncertain global landscape. The book emphasizes "Do not merely endure the difficulties and solve them; improve, shape, and take charge with assurance".
Contents
A Comparative Analysis of Image Processing Models for Digital Signage Applications.- A Literature Review of Data Analytics: Tabular and Graphical Analysis.- A Mobile Application Design of Cancer Follow Up Care for Breast Cancer Survivors.- A Model Proposal for Selecting the Most Appropriate Radiotherapy Devices for Hospitals.- A Multi Objective Optimization Model for Waste to Energy Facility Location in Sustainable Municipal Solid Waste Management.- A Novel Model for Assessment of Industry 4.0 Maturity in Defense Industry.- A Reinforcement Learning-Inspired Estimation of Antibiotic Resistance in Poultry Environments.- A Review of Machine Learning for Additive Manufacturing.- Assessment of Emerging Digital Technology in Renewable Energy Sector.
