Computer Science Advances: Research and Applications

Sandip A. Kale (Editor)
Associate Professor, Mechanical Engineering Department, Trinity College of Engineering and Research, Pune, India

Series: Computer Science, Technology and Applications
BISAC: COM014000

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$160.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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This book is comprised of eleven chapters about computer application and research areas to discuss the latest issues and technologies. Interesting and important topics like fuzzy and cognitive applications, fuzzy classifiers, neural network, data analytics, clustering and classification models, artificial intelligence, controller area network, digital technology industry 4.0, etc. are included in this book.
The first chapter presents neuro-fuzzy and cognitive researches for the development of objects on the basis of location and territory. The second chapter is about the method of parametric identification using a neuro-fuzzy classifier. The third chapter describes the research on the internet of things enabled smart campus for effectual data transit from one entity to another for classroom notes.

Chapters Four and Five are dedicated to the use of advanced computer science of the medical applications. Chapter Six presents the detection and estimation of obstacle position for imminent crash prediction to enhance the driver and vehicle interface using the controller area network. Chapter Seven presents the development of accurate models for estimation of pure CO2-oil minimum miscibility pressure based on artificial intelligence methods. Chapter Eight addresses dynamic, massive data handling with swarm intelligence based algorithms for finding the solution of a difficult problem. The next chapter proposes an encryption model which focuses on bit-level confusion and bit-level diffusion followed by block-level diffusion by using 1-D chaotic maps. Chapter Ten is dedicated to digital technologies of the industry 4.0. The last chapter compares the pattern sequence based forecasting method with ARIMA in univariate time series forecasting. (Imprint: Nova)

Preface

Chapter 1. Multi-Disciplinary Deep Learning Neuro-Fuzzy and Cognitive Researches of Scientific, Technological and Innovative Development of Objects and Territories
(Abramova T. V., National research Tomsk State University, Tomsk, Russia)

Chapter 2. A Method of Parametric Identification of the Adaptive Neuro-Fuzzy Classifier
(S. V. Gorbachev, Department of Innovative Technologies, National research Tomsk State University, Tomsk, Russia)

Chapter 3. Smart E-Learning Using Internet Things and Cumulative Dragonfly Neural Network Prediction Model for Personalized Learning
(M. R. M. Veeramanickam, N. Mohana Sundaram and Sandip A. Kale, Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India, and others)

Chapter 4. A Classification Model For the CD4 Count of HIV Patients Using Decision Tree Algorithms
(Idowu Peter Adebayo, Balogun Jeremiah Ademola, Akinyemi Ibidapo Olawole and Egejuru Ngozi Chidozie, Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria, and others)

Chapter 5. Classification Model for the Survivability of End-Stage Renal Disease Patients Using K-Nearest Neighbours Algorithm
(Priscilla Dooshima Mhambe, Oluyomi Oluseun Okunola, Jeremiah Ademola Balogun, Ngozi Chidozie Egejuru and Peter Adebayo Idowu, Department of Computer Science and Engineering, Faculty of Technology, Obafemi Awolowo University, Ile-Ife, Nigeria, and others)

Chapter 6. Detection and Estimation of Obstacle Position for Imminent Crash Prediction
(M. Basavaraj and Suneeta. V. Budihal, School of Electronics and Communication, KLETU, Hubballi, India)

Chapter 7. Development of Accurate Models for Estimation of Pure CO2-Oil Minimum Miscibility Pressure Based on Artificial Intelligence Methods
(Khalid Al-Hinai, G. Reza Vakili-Nezhaad, Ali S. Al-Bemani and Azadeh Mamghaderi, Department of Petroleum and Chemical Engineering, Sultan Qaboos University, Muscat, Oman, and others)

Chapter 8. Clustering Using the Brain Storm Algorithm in Data Analytics
(Rajit Nair and Amit Bhagat, Department of Computer Application, MANIT, Bhopal, India)

Chapter 9. A Secure Bit – Level Image Encryption by Using Selection Based 1 – D Chaotic Maps
(Yash Kohli, Shaily Bhagwani, K. Abhimanyu Kumar Patro and Bibhudendra Acharya, PhD, Department of Electronics and Telecommunication Engineering, National Institute of Technology Raipur, Raipur,
Chhattisgarh, India)

Chapter 10. Digital Technologies of the Industry 4.0
(Evgeniy G. Bryndin, Research Center “NATURE INFORMATIC,” Novosibirsk, Russia)

Chapter 11. A Robust Performance of the PSF Method over Outliers and Random Patterns in a Univariate Time Series Forecasting
(N. D. Bokde, A. E. Feijóo, A. V. Wakpanjar and K. D. Kulat, Visvesvaraya National Institute of Technology, Nagpur, India, and others)

Index

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