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Information Visualization for Intelligent Systems

Information Visualization for Intelligent Systems

          
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About the Book

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.

Table of Contents:
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


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Product Details
  • ISBN-13: 9781394305780
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: Wiley-Scrivener
  • Language: English
  • Returnable: Y
  • ISBN-10: 1394305788
  • Publisher Date: 21 Mar 2025
  • Binding: Hardback
  • No of Pages: 576
  • Weight: 907 gr


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