1st Edition

Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

    424 Pages 39 Color & 101 B/W Illustrations
    by CRC Press

    424 Pages 39 Color & 101 B/W Illustrations
    by CRC Press

    The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.

    The book:

    • Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways
    • Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems
    • Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases
    • Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved
    • Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach

    The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

    Section 1: Mathematical Modeling

    Chapter 1 
    An Interactive Weight-Based Portfolio System Using Goal Programming
    Hari Sharma, Kate Brown,  Vineet Kumar Awasthi

    Chapter 2
    Generalized knowledge measure based on hesitant fuzzy sets with application to MCDM
    Dinesh K. Sharma, Surender Singh, Sumita Lalotra

    Chapter 3
    Queuing System with Customers’ Impatience, Retention and Feedback
    Rakesh Kumar, Bhupender Kumar Som, K. Kalidass,  M. I. G. Suranga Sampath

    Chapter 4
    Controllable Multiprocessor Queueing System
    Anamika Jain, Madhu Jain, Dheeraj Bhardwaj

    Chapter 5
    Multi-server Queuing system with Feedback and  Retention
    Rakesh Kumar, Sapana Sharma, Bhavneet Singh Soodan

    Chapter 6
    Retrial Queueing System Subject to Differentiated Vacations with Impatience Customers
    M. I. G. Suranga Sampath, Dinesh K. Sharma, Avinash Gaur

    Chapter 7
    A Preorder discounts and online payment facility on a sustainable inventory model with controllable carbon emission
    S.R Singh, Dipti Singh

    Chapter 8
    Green Inventory Systems with Two-Warehouses  for Rubber Waste Items
    Ajay Singh Yadav, Palak Mehta, Natesan Thillagovindan


    Section 2: Machine Learning
    Chapter 9
    Cyber Attack Detection Applying Machine Learning Approaches
    Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das

    Chapter 10
    Feature Extraction Methods for Intelligent Audio Signal Classification
    Aaron Rababaah

    Chapter 11
    Feature Detection & Extraction Techniques with Different Similarity Measures Using Bag of Features Model
    Roohi Ali, Manish Maheshwari

    Chapter 12
    Stratification Based Initialization Model on Partitional Clustering for Big Data Mining
    Kamlesh Kumar Pandey, Diwakar Shukla

    Chapter 13
    Regression Ensemble Techniques for Prediction of Financial Time Series Data
    Richa Handa, H.S. Hota, Julius A. Alade

    Chapter 14
    Intelligent System for Integrating Customer’s Voice with CAD for Seat Comfort
    Saed Talib Amer, Landon Onyebueke, Aaron Rababaah

    Chapter 15
    An Implementation of Machine Learning to Detect Real Time Web Application Vulnerability
    Tarun Dhar Diwan, Siddartha Choubey, H.S. Hota

    Section 3: Intelligent Computing

    Chapter 16
    Intelligent Decision Support System for Air Traffic Management
    Aaron Rababaah, Mohamed Siddig

    Chapter 17
    Bio-Mechanical Hand With Wide Degree Of Freedom
    Ankit, Rohtash Dhiman

    Chapter 18
    Analyses of Repetitive Motions in Goods to Person Order Picking Strategies Using Intelligent Human Factors System
    Saed Talib Amer, Shaikha Al Shehhi, Nelson King, Jaby Mohammed

    Chapter 19
    Hybridization of IoT Networks with Intelligent Gateways
    Neeti Gupta, Vidushi Sharma, Satish Penmatsa

    Chapter 20
    M/M1+M2/1/K Model  for Monitoring Waiting Times via Intelligent Computing
    R. Sivasamy, L. Gabaitiri, P.M. Kgosi, W. M. Thupeng


    MADHU JAIN is presently working as an Associate Professor in the Department of Mathematics, Indian Institute of Technology Roorkee, India. Before joining IIT Roorkee, she served as Reader/Associate Professor/Professor in the Department of Mathematics in Dr. B.R.A. University, Agra, for 10 years (1999 - 2008) and as visiting faculty in Indian Institute of Technology, Delhi (1994-1997). She has published over 400 research papers in International Journals, over 100 papers in Conference Proceeding/edited books, and 20 books. She was conferred Young Scientist Award & SERC Visiting Fellow of the Department of Science and Technology (DST), India, and Career Award of University Grant Commission (UGC), India. For outstanding contribution in research, IT Vikas Parisad, India conferred her Vigyan Gaurav award (2007). She is the recipient of the Distinguish Service Award (2011) of Vijnana Parisad of India for her outstanding contributions to Mathematics. She was Visiting Fellow of Isaac Newton Institute of Mathematical Sciences, Cambridge, UK, for during summer in 2010, 2011 & 2014. At present, Dr. Madhu Jain is holding the post of President of Vijnana Parisad of India, Secretary of Operations Research Society of India, Agra Chapter, and General Secretary of Global Society of Mathematical and Allied Sciences. She has participated over 150 International/National Conferences in India and Abroad and visited many reputed universities/Institutes in USA, Canada, Australia, UK, Germany, France, Holland, Belgium, Taiwan, UAE. Her current research interest includes Performance modeling of Computer Communication Networks (CCN), Queueing theory, Software and hardware reliability, Supply chain management, Bio-informatics, Soft computing, etc.

    DINESH K. SHARMA is a Professor of Quantitative Methods and Computer Applications in the Department of Business, Management and Accounting at the University of Maryland Eastern Shore, USA. He earned his MS in Mathematics, MS in Computer Science, a Ph.D. in Operations Research, and a second Ph.D. in Management. Professor Sharma has over twenty-eight years of teaching experience, has served on several committees to supervise Ph.D. students, and acts as an external Ph.D. thesis examiner for several universities in India. Dr. Sharma's research interests include mathematical programming, artificial intelligence and machine learning techniques, supply chain management, healthcare management, and portfolio management. He has published over 250 refereed journal articles and conference proceedings and has also won fifteen best paper awards. Professor Sharma has collaborated on a number of funded research grants. Professor Sharma is the Editor of the Journal of Global Information Technology and Review of Business and Technology Research and is on the editorial board of several journals and a paper reviewer for many additional journals and conferences. Additionally, he is a member of Decision Sciences (USA), a life member of the Operational Research Society of India, and served as a program chair and coordinator of several international conferences in many countries.

    RAKHEE KULSHRESTHA is faculty in the Department of Mathematics, Birla Institute of Technology and Science, Pilani. She has received Bachelor of Science, Master of Science in Operations Research from Dr. B.R. Ambedker University, Agra. She has completed her Ph.D. from Centre for Information and Decision Sciences, B.R. Ambedkar University, Agra. There are more than 30 research publications in refereed International/National journals/proceedings, a monograph and a patent to her credit. She has participated in over 40 International/National Conferences in India and Abroad and visited many reputed universities/Institutes in Germany, Turkey, Singapore. Her research interests include the areas of applied probability, performance analysis of communication networks, inventory and supply chain management.

    H.S. HOTA is a Professor and Department Head at Atal Bihari Vajpayee University in Bilaspur. He earned his Ph.D. from Guru Ghasidas Central University in Bilaspur. His research interests include Artificial Intelligence and Machine Learning, Business Intelligence, Information Security, and Data Mining, and he has published over 75 refereed journal articles in reputable journals. In conference proceedings, more than 60 articles have been published. He has also won five best paper awards at international conferences. He has also been to several countries and spoken at international conferences.