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Neural Networks, Machine Learning, and Image Processing: Mathematical Modeling and Applications [Hardback]

Edited by (Uni of Tech,Australia), Edited by (Pandit Deendayal Petrol. Uni, India), Edited by (Pandit Deendayal Petrol. Uni, India)
  • Formāts: Hardback, 202 pages, height x width: 234x156 mm, weight: 840 g, 42 Tables, black and white; 60 Line drawings, black and white; 27 Halftones, black and white; 63 Illustrations, color; 24 Illustrations, black and white
  • Izdošanas datums: 15-Dec-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032300140
  • ISBN-13: 9781032300146
  • Hardback
  • Cena: 158,75 €
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  • Formāts: Hardback, 202 pages, height x width: 234x156 mm, weight: 840 g, 42 Tables, black and white; 60 Line drawings, black and white; 27 Halftones, black and white; 63 Illustrations, color; 24 Illustrations, black and white
  • Izdošanas datums: 15-Dec-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032300140
  • ISBN-13: 9781032300146
"The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, and computer"--

The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an ideal reference text for graduate students and academic researchers in the fields of mechanical engineering, electronics, communication engineering, computer engineering, and mathematics.

This book:

  • Discusses applications of neural networks, machine learning, image processing, and mathematical modeling.
  • Provides simulations techniques in machine learning and image processing-based problems.
  • Highlights artificial intelligence and machine learning techniques in the detection of diseases.
  • Introduces mathematical modeling techniques such as wavelet transform, modeling using differential equations, and numerical techniques for multi-dimensional data.
  • Includes real-life problems for better understanding.

The book presents mathematical modeling techniques such as wavelet transform, differential equations, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as mechanical, electronics and communication and computer.



The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, and computer.

Preface vii
Editors ix
Contributors xiii
Part I Mathematical modeling and neural network's mathematical essence
1 Mathematical modeling on thermoregulation in sarcopenia
3(18)
Dev Chandra Shrestha
Saraswati Acharya
Dil Bahadur Gurung
2 Multi-objective university course scheduling for uncertainly generated courses
21(12)
Sunil B. Bhoi
Jayesh M. Dhodiya
3 MChCNN: a deep learning approach to detect text-based hate speech
33(12)
Pallavi Dash
Namrata Devata
Debani Prasad Mishra
4 PSO-based PFC Cuk converter-fed BLDC motor drive for automotive applications
45(10)
M. Ramasubramanian
M. Thirumarimurugan
5 Optimized feature selection for condition-based monitoring of cylindrical bearing using wavelet transform and ANN
55(12)
Umang Parmar
Divyang H. Pandya
6 SafeShop -- an integrated system for safe pickup of items during COVID-19
67(12)
Nisarg Kapkar
Jahnavi Shah
Sanyam Raina
Nisarg Dave
Mustafa Africawala
7 Solution to first-order fuzzy differential equation using numerical methods
79(22)
Meghna Parikh
Manoj Sahni
Ritu Sahni
Part II Simulations in machine learning and image processing
8 Multi-layer encryption algorithm for data integrity in cloud computing
101(14)
Arwa Zabian
Shaker Mrayyen
Abram Magdy Jonan
Tareq Al-Shaikh
Mohammed Ghazial-Khaiyat
9 Anomaly detection using a class of supervised and unsupervised learning algorithms
115(12)
Bhaumik Joshi
Devang Goswami
Harsh S. Dhiman
10 Improving support vector machine accuracy with Shogun's multiple kernel learning
127(12)
Debani Prasad Mishra
Paixavi Dash
11 An introduction to parallelisable string-based SP-languages
139(18)
N. Mohana
Kalyani Desikan
V. Rajkumar Dare
12 Detection of disease using machine learning
157(10)
Bansi Patel
Dhruvinsinh Rathod
Samir Patel
13 Driver drowsiness detection system using eye tracing system
167(14)
Saketram Rath
Debani Prasad Mishra
14 An efficient image encryption scheme combining Rubik's cube principle with masking
181(18)
M. Palav
S.V.S.S.N.V.G. Krishna Murthy
R. Telang Gode
Index 199
Manoj Sahni