{"product_id":"information-visualization-for-intelligent-systems-hardback-9781394305780","title":"Information Visualization for Intelligent Systems (Hardback) 9781394305780","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eInformation Visualization for Intelligent Systems\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePremanand Singh Chauhan (Edited by), Rajesh Arya (Edited by), Rajesh Kumar Chakrawarti (Edited by), Elammaran Jayamani (Edited by), Neelam Sharma (Edited by), Romil Rawat (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394305780, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e576 pages\u003cbr\u003e22.9 x 15.2 x 3.4 cm, 0.907 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eInformation Visualization for Intelligent Systems\u003c\/b\u003e\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eModern 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.\u003c\/p\u003e \u003cp\u003eThese 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e1 Analysis of Restaurant Reviews Using Novel Hybrid Approach Algorithm Over Convolutional Neural Network Algorithm with Improved Accuracy 1\u003cbr\u003e\u003ci\u003eK. Abhilash Reddy and Uma Priyadarsini P.S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Forecasting of Product Demand Using Hybrid Regression Model in Comparison with Autoregressive Integrated Moving Average Model 17\u003cbr\u003e\u003ci\u003eAdibhatla Ajay Bharadwaj and M. Gunasekaran\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Identification of Stress in IT Employees by Image Processing Using Novel KNN Algorithm in Comparison of Accuracy with SVM 29\u003cbr\u003e\u003ci\u003eC. Srinath and S. Parthiban\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Observing the Accuracy of Breast Cancer Using Support Vector Machine with Digital Mammogram Data in Comparison with Naive Bayes 41\u003cbr\u003e\u003ci\u003eM.A. Aasiya Banu and K. Thinakaran\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Analyzing and Improving the Efficiency of Winning Prediction in Chess Game Using AlexNet Classifier in Comparison with Support Vector Machine for Improved Accuracy 49\u003cbr\u003e\u003ci\u003eKeerthana P. and G. Mary Valantina\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Accurate Prediction of Vehicle Number Plate Segmentation and Classification with Inception Compared over Alexnet 61\u003cbr\u003e\u003ci\u003eE. K. Subramanian and V. Sudharshan Reddy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 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\u003cbr\u003e\u003ci\u003eK. Mahesh Reddy and F. Mary Harin Fernandez\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 A Comparative Analysis of Twin Segmentation and Classification Over MultiClass SVM and Innovative CNN: An Innovative Approach 85\u003cbr\u003e\u003ci\u003ePrudhvi Venkata Narasimha Varma R. and Senthil Kumar R.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Prediction of Yields in Semiconductor Using XGBoost Classifier in Comparison with Random Forest Classifier 95\u003cbr\u003e\u003ci\u003eSoorya K. and Michael G.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 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\u003cbr\u003e\u003ci\u003eP. Hemanth and P. Shyamala Bharathi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 BER Comparison of BPSK-DCO-OFDM and OOK-DCO-OFDM in Visible Light Communication 115\u003cbr\u003e\u003ci\u003eC. Chandu Ganesh and B. Anitha Vijayalakshmi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Improved Accuracy in Blockchain-Based Smart Vehicle Transportation System Using KNN in Comparison with SVM 129\u003cbr\u003e\u003ci\u003eMekalathuru Yuvaraj and K.V. Kanimozhi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 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\u003cbr\u003e\u003ci\u003eA. Sai Abhishek and T. J. Nagalakshmi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Novel Design of Meta Ring Array Antenna Using FR4 for Biomedical Applications 151\u003cbr\u003e\u003ci\u003eThota Lakshmi Deekshitha and R. Saravanakumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Review: Recommendation System in Tourism and Hospitality Based on Comparison of Different Algorithms 161\u003cbr\u003e\u003ci\u003eAbhishek Tiwari and Pratosh Bansal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Secure and Reliable Routing for Hybrid Network to Support Disaster Recovery and Management 193\u003cbr\u003e\u003ci\u003eSanat Jain, Amit Dangi, Garima Jain and Ajay Kumar Phulre\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Machine Learning Techniques for Sentimental Analysis 213\u003cbr\u003e\u003ci\u003eGhanshyam Prasad Dubey, Sahil Upadhyay and Ayush Giri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Design of 40-mm Period, 0.8-Tesla Variable-Gap Pure Permanent Magnet Undulator Magnet in RADIA 229\u003cbr\u003e\u003ci\u003eG. Mishra, Geetanjali Sharma and Vikesh Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 Predicting Academic Performance of Students: An ANN Approach 241\u003cbr\u003e\u003ci\u003ePriyanka Asthana and Manish Maheshwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 A Deep Study on Discriminative Supervised Learning Approach 259\u003cbr\u003e\u003ci\u003eGarima Jain, Sanat Jain, Harshlata Vishwakarma and Shilpa Suman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 AI Medical Assistant Machine Learning Techniques 281\u003cbr\u003e\u003ci\u003eS. Padmakala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 Early Schizophrenia Prediction Using Wearable Devices and Machine Learning 295\u003cbr\u003e\u003ci\u003eR. Deepa and A. Packialatha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 Forecasting the Trends in Stock Market Employing Optimally Tuned Higher Order SVM and Swarm Intelligence 315\u003cbr\u003e\u003ci\u003eRahul Maheshwari1 and Vivek Kapoor2\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 Social Media Text Classification Analysis and Influence of Feature Selection Methods on Classification Performance 333\u003cbr\u003e\u003ci\u003eVedpriya Dongre and Pragya Shukla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25 4G Versus 5G Communication Using Machine Learning Techniques 349\u003cbr\u003e\u003ci\u003eS. Padmakala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 Design and Development of Programmable and UV-Based Automated Disinfection for Sanitization of Package Surfaces 371\u003cbr\u003e\u003ci\u003ePadmakar Pachorkar, P. S. Chauhan, Akash Pawar, Anil Singh Yadav and Neeraj Agrawal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27 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\u003cbr\u003e\u003ci\u003eK. Surya Prakash and D. Sungeetha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28 Analysis of Vehicle Accident Prediction Using GoogleNet Classifier Compared with AlexNet Algorithm to Enhance Accuracy 397\u003cbr\u003e\u003ci\u003ePrakash Dilli, Nelson Kennedy Babu C. and A. Akilandeswari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e29 Maximizing the Accuracy of Fake Indian Currency Prediction Using Particle Swarm Optimization Classifier in Comparison with Lasso Regression 411\u003cbr\u003e\u003ci\u003eKishore Kumar R., Nelson Kennedy Babu C. and A. Akilandeswari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e30 Convolutional Neural Network Algorithm for Proliferative Diabetic Retinopathy Detection and Comparison with GoogleNet Algorithm to Improve Accuracy 427\u003cbr\u003e\u003ci\u003eP. Srinivasan, R. Thandaiah Prabu and A. Ezhil Grace\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e31 Conversational AI - Security Aspects for Modern Business Applications 441\u003cbr\u003e\u003ci\u003eHitesh Rawat, Anjali Rawat, Jean-François Mascari, Ludovica Mascari and Romil Rawat\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e32 Literature Review Analysis for Cyberattacks at Management Applications and Industrial Control Systems 461\u003cbr\u003e\u003ci\u003eHitesh Rawat, Anjali Rawat, Anand Rajavat and Romil Rawat\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e33 Fractal Natural Language Semantics and Fractal Machine Learning Engineering: Cultural Heritage Generative Management Systems 489\u003cbr\u003e\u003ci\u003eJean-François Mascari, Ludovica Mascari, Hitesh Rawat, Anjali Rawat and Romil Rawat\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 509\u003c\/p\u003e \u003cp\u003eAbout the Editors 511\u003c\/p\u003e \u003cp\u003eIndex 513\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Business applications [\u003ca title=\"See our other books on Business applications\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20applications%20%5BUF%5D%22\"\u003eUF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433526522136,"sku":"9781394305780","price":170.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394305780.jpg?v=1784853436","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/information-visualization-for-intelligent-systems-hardback-9781394305780","provider":"Freshly Printed Books","version":"1.0","type":"link"}