Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions

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Prasenjit Chatterjee, PhD – Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India
Parmanand Astya , PhD – Dean, Faculty of Engineering & Technology, Sharda University, Uzbekistan
Sudeshna Chakraborty, PhD – Associate Professor, Sharda University, Greater Noida, Uttar Pradesh, India
Dr. Pooja – Associate Professor, Faculty of Engineering & Technology, Sharda University, Uzbekistan

Series: Advances in Data Science and Computing Technologies
BISAC: COM094000; COM021030
DOI: https://doi.org/10.52305/PYSB9608

Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organizations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise. Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilizing well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

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Table of Contents

Preface

Chapter 1. Tools for Machine Learning
Parveen Mor1 and Sonia Chhabra2
1Sharda University, Greater Noida
2Sharda University, Greater Noida

Chapter 2. Comprehensive Review on Applications of Machine Learning in Healthcare
Ashutosh Srivastava1, Aman Anand2, Praveen Kumar3 and Sudeshna Chakraborty4
1
Support Engineer 3, Amazon Development Center India
2Software Support Associate, AlsoEnergy India
3Assistant Professor, VIT Bhopal University, Sehore, India
4Professor, Lloyd Institute of Engineering & Technology

Chapter 3. Retinal Vessel Enhancement Evaluation on DRIVE Dataset from CNN Performance
Mahua Nandy Pal1 and Minakshi Banerjee2
1
Computer Science and Engineering Department MCKV Institute of Engineering Howrah, India
2Computer Science and Engineering Department RCC Institute of Information Technology
Kolkata, India

Chapter 4. Machine Learning for Network Analysis
Arjun Singh and Punit Gupta
Department of Computer and Communication Engineering,
Manipal University Jaipur, Jaipur, India

Chapter 5. Machine Learning in Hydrology
S. M. Kodirov and Dr. Pooja
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan
Sharda University, Uzbekistan, JSS Academy of Technical Education, Uttar Pradesh, India

Chapter 6. Machine Learning Applications in Smart Sensors
Ruchi Yadav1, Ashish Gupta1, Rashmi Priyadarshini1, Parma Nand2 and Agha Asim Husain3
1
Department of Electrical Electronics and Communication Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
2Department of Computer Science and Engineering,
School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
3Department of Electronics and Communication Engineering, I. T. S Engineering College, Greater Noida, Uttar Pradesh, India

Chapter 7. The Role of Machine Learning in the Food Industry
Rashi Srivastava1,4, Priya Tyagi2, Parma Nand2, Ankur Sharma3, Niraj Kumar Jha1 and Saurabh Kumar Jha1
1Department of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
2Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
3Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India
4Department of Biotechnology, Institute of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Sitapur Road, Lucknow-226021, Uttar Pradesh, India
Chapter 8. Phrase Based Machine Translation of English Text to Indian Sign Language Using Order Scoring Algorithm
Gouri Sankar Mishra, Parma Nand, Rani Astya, Nitin Rakesh, Pradeep Kumar Mishra and Sasmita Mishra
Engineering, Sharda University, Greater Noida, Uttar Pradesh, India

Chapter 9. Stem Cell and Tissue Engineering: Application of Machine Learning
Rashi Srivastav1,4, Parma Nand2, Dhruv Kumar5, Ankur Sharma3, Niraj Kumar Jha1 And Saurabh Kumar Jha1,
1Department of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
2Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India
3Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India
4Department of Biotechnology, Institute of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Sitapur Road, Lucknow-226021, Uttar Pradesh, India
5Amity Institute of Molecular Medicine & Stem Cell Research Amity University Uttar Pradesh, Noida, India

Chapter 10. Reconstruction of 3D Point Cloud-Based on the Sequence of Images
Souvik Das, Asheesh Girdharwal, J. Maiti and O. B. Krishna
Department of Industrial and Systems Engineering, IIT Kharagpur, Kharagpur, India

Chapter 11. Application of Machine Learning in Financial Services
Hemendra Gupta1 and Anviti Gupta2
1Dr., Faculty, Jaipuria Institute of Management, Lucknow, India
2Professor (Dr.), Rector, Sharda University, Andijan, Uzbekistan

Chapter 12. Eye-Tracking Data as a Way to Detect Sleep Deprivation in an Individual, Based on Attention, Mental Agility, and Problem-Solving
Souvik Das1, Parimal Pratyush1, Debjoy Das1, J. Maiti1 and O. B. Krishna1
1
Department of Industrial and Systems Engineering, IIT Kharagpur, India

Index