Advanced Analytics and Artificial Intelligence Applications

Edited By Ali Soofastaei

ISBN: 978-1-78984-639-3
Publisher: IntechOpen
Published: November 13th, 2019
DOI: 10.5772/intechopen.78899
Number of pages: 97

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Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.
  1. Chapters
    1. Introductory Chapter: Advanced Analytics and Artificial Intelligence Applications

    By Ali Soofastaei

    2. Bio-Inspired Hybrid Algorithm for Web Services Clustering

    By Maricela Bravo, Román A. Mora-Gutiérrez and Luis F. Hoyos-Reyes

    3. Smart Material Planning Optimization Problem Analysis

    By Rich C. Lee and Man-ser Jan

    4. A Deep Learning-Based Aesthetic Surgery Recommendation System

    By Phan Chau Phuc Thinh, Bui Thi Xuyen, Nguyen Do Trung Chanh, Dao Huu Hung and Mimura Daisuke

    5. An Assessment of the Prediction Quality of VPIN

    By Antoine Bambade and Kesheng Wu

    6. Artificial Intelligence Data Science Methodology for Earth Observation

    By Corneliu Octavian Dumitru, Gottfried Schwarz, Fabien Castel, Jose Lorenzo and Mihai Datcu


Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.

He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.

Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia.

He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams.

Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.

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