Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world.
The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines.
Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature.
These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.
Preface xvii
1 Analysis of Restaurant Reviews Using Novel Hybrid Approach Algorithm Over
Convolutional Neural Network Algorithm with Improved Accuracy 1
K. Abhilash Reddy and Uma Priyadarsini P.S.
2 Forecasting of Product Demand Using Hybrid Regression Model in Comparison
with Autoregressive Integrated Moving Average Model 17
Adibhatla Ajay Bharadwaj and M. Gunasekaran
3 Identification of Stress in IT Employees by Image Processing Using Novel
KNN Algorithm in Comparison of Accuracy with SVM 29
C. Srinath and S. Parthiban
4 Observing the Accuracy of Breast Cancer Using Support Vector Machine with
Digital Mammogram Data in Comparison with Naive Bayes 41
M.A. Aasiya Banu and K. Thinakaran
5 Analyzing and Improving the Efficiency of Winning Prediction in Chess Game
Using AlexNet Classifier in Comparison with Support Vector Machine for
Improved Accuracy 49
Keerthana P. and G. Mary Valantina
6 Accurate Prediction of Vehicle Number Plate Segmentation and
Classification with Inception Compared over Alexnet 61
E. K. Subramanian and V. Sudharshan Reddy
7 A Novel Method to Analyze a Server Instance's Performance During a
Crypto-Jacking Attack Using Novel Random Forest Algorithm Compared with
Logistic Regression 73
K. Mahesh Reddy and F. Mary Harin Fernandez
8 A Comparative Analysis of Twin Segmentation and Classification Over
MultiClass SVM and Innovative CNN: An Innovative Approach 85
Prudhvi Venkata Narasimha Varma R. and Senthil Kumar R.
9 Prediction of Yields in Semiconductor Using XGBoost Classifier in
Comparison with Random Forest Classifier 95
Soorya K. and Michael G.
10 A Robust Medical Image Watermarking Scheme with a Better Peak
Signal-to-Noise Ratio Based on a Novel Modified Embedding Algorithm and
Spatial Domain Algorithm 105
P. Hemanth and P. Shyamala Bharathi
11 BER Comparison of BPSK-DCO-OFDM and OOK-DCO-OFDM in Visible Light
Communication 115
C. Chandu Ganesh and B. Anitha Vijayalakshmi
12 Improved Accuracy in Blockchain-Based Smart Vehicle Transportation System
Using KNN in Comparison with SVM 129
Mekalathuru Yuvaraj and K.V. Kanimozhi
13 Improvement in Accuracy of Red Blood Cells (RBC), White Blood Cells
(WBC), and Platelets Detection Using Artificial Neural Network and Comparison
with Hybrid Convolution Neural Network 139
A. Sai Abhishek and T. J. Nagalakshmi
14 Novel Design of Meta Ring Array Antenna Using FR4 for Biomedical
Applications 151
Thota Lakshmi Deekshitha and R. Saravanakumar
15 Review: Recommendation System in Tourism and Hospitality Based on
Comparison of Different Algorithms 161
Abhishek Tiwari and Pratosh Bansal
16 Secure and Reliable Routing for Hybrid Network to Support Disaster
Recovery and Management 193
Sanat Jain, Amit Dangi, Garima Jain and Ajay Kumar Phulre
17 Machine Learning Techniques for Sentimental Analysis 213
Ghanshyam Prasad Dubey, Sahil Upadhyay and Ayush Giri
18 Design of 40-mm Period, 0.8-Tesla Variable-Gap Pure Permanent Magnet
Undulator Magnet in RADIA 229
G. Mishra, Geetanjali Sharma and Vikesh Gupta
19 Predicting Academic Performance of Students: An ANN Approach 241
Priyanka Asthana and Manish Maheshwari
20 A Deep Study on Discriminative Supervised Learning Approach 259
Garima Jain, Sanat Jain, Harshlata Vishwakarma and Shilpa Suman
21 AI Medical Assistant Machine Learning Techniques 281
S. Padmakala
22 Early Schizophrenia Prediction Using Wearable Devices and Machine
Learning 295
R. Deepa and A. Packialatha
23 Forecasting the Trends in Stock Market Employing Optimally Tuned Higher
Order SVM and Swarm Intelligence 315
Rahul Maheshwari1 and Vivek Kapoor2
24 Social Media Text Classification Analysis and Influence of Feature
Selection Methods on Classification Performance 333
Vedpriya Dongre and Pragya Shukla
25 4G Versus 5G Communication Using Machine Learning Techniques 349
S. Padmakala
26 Design and Development of Programmable and UV-Based Automated
Disinfection for Sanitization of Package Surfaces 371
Padmakar Pachorkar, P. S. Chauhan, Akash Pawar, Anil Singh Yadav and Neeraj
Agrawal
27 Fuzzy-Based Segmentations Performance Analysis for Breast Tumor Detection
Using Spatial Fuzzy C-Means Filtering with Preconditions (SFCM-P) Over
Bilateral Fuzzy K-Mean Clustering Algorithm (BiFKC) 381
K. Surya Prakash and D. Sungeetha
28 Analysis of Vehicle Accident Prediction Using GoogleNet Classifier
Compared with AlexNet Algorithm to Enhance Accuracy 397
Prakash Dilli, Nelson Kennedy Babu C. and A. Akilandeswari
29 Maximizing the Accuracy of Fake Indian Currency Prediction Using Particle
Swarm Optimization Classifier in Comparison with Lasso Regression 411
Kishore Kumar R., Nelson Kennedy Babu C. and A. Akilandeswari
30 Convolutional Neural Network Algorithm for Proliferative Diabetic
Retinopathy Detection and Comparison with GoogleNet Algorithm to Improve
Accuracy 427
P. Srinivasan, R. Thandaiah Prabu and A. Ezhil Grace
31 Conversational AI - Security Aspects for Modern Business Applications
441
Hitesh Rawat, Anjali Rawat, Jean-François Mascari, Ludovica Mascari and Romil
Rawat
32 Literature Review Analysis for Cyberattacks at Management Applications
and Industrial Control Systems 461
Hitesh Rawat, Anjali Rawat, Anand Rajavat and Romil Rawat
33 Fractal Natural Language Semantics and Fractal Machine Learning
Engineering: Cultural Heritage Generative Management Systems 489
Jean-François Mascari, Ludovica Mascari, Hitesh Rawat, Anjali Rawat and Romil
Rawat
References 509
About the Editors 511
Index 513
Premanand Singh Chauhan, PhD, is a director at the Sushila Devi Bansal College of Technology, Indore, India with seven years of industry experience and 20 years of teaching experience. He has edited one book, authored two books and 55 research articles, and has published three patents, one of which was granted. He is the editor of the proceedings of many reputed international conferences, technical adviser for many industries working in the field of manufacturing, and also a member of many professional bodies.
Rajesh Arya, PhD, is a principal at the Sushila Devi Bansal College of Engineering, Indore, India. He has more than 15 years of experience teaching courses related to electrical and computer engineering. He has published more than 45 research papers in the journals and conferences of repute publishers and is an Associate Member of the Institution of Engineers.
Rajesh Kumar Chakrawarti, PhD, is a professor and dean at the Department of Computer Science and Engineering/Information Technology, Sushila Devi Bansal College, Indore, India with over 21 years of experience in academia and industry. He is actively involved in teaching courses at both the undergraduate and postgraduate levels and is eagerly involved in teaching, training, research and development, and department, institution, and university development activities. He has organized and attended over 100 seminars, workshops, conferences, and certifications and has presented and published over 100 research papers, chapters in books, and abstracts in national and international conferences and journals.
Elammaran Jayamani, PhD, is an associate professor in the Mechanical Engineering program in the Faculty of Engineering, Computing, and Science at the Swinburne University of Technology, Sarawak Campus. Dr. Elammaran has been a creative educator for over 23 years, promoting sustainable materials research and development and is well-versed in training and mentoring students, research scholars, and educators. He is a member of the Institution of Mechanical Engineers as a Chartered Engineer.
Neelam Sharma, PhD, is an associate professor and the head of Electronics and Communication Engineering at Sushila Devi Bansal College of Technology, Indore, India with over 18 years of teaching experience. She has been published in various SCI and Scopus journals and IEEE conferences and is a life member of the International Society for Technology in Education.
Romil Rawat has attended several research programs and received research grants from the United States, Germany, Italy, and the United Kingdom. He has chaired international conferences and hosted several research events, in addition to publishing several research patents. His research interests include cyber security, Internet of Things, dark web crime analysis and investigation techniques, and working towards tracing illicit anonymous contents of cyber terrorism and criminal activities.
