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Présentation Interactive And Dynamic Dashboard de Format Relié
- Livre Littérature Générale
Résumé : 1. Bibliometric analysis on Visual Data Analysis and Dynamic Dashboard tools: A literature review. 2. Visual Data Analysis and Inference through Dimensionality Reduction Techniques. 3. Visual Data Analysis of temperature, ground water level, precipitation for Climate-Driven Socio-Economic Prediction. 4. AI-Based Online Interview Bot with an Interactive Dashboard. 5. Visualizing Food Quality and Safety: A Dynamic Dashboard Approach with Near-Infrared Imaging and Machine Learning. 6. Interactive Dashboard and 3D visualization using t-SNE Dimensionality Reduction Technique. 7. Dynamic Dashboard Creation for Sales Trends and Optimize Pricing Strategies. 8. Scaling Up the Business with The Aid of Power Query Tool. 9. Interactive Visualization Techniques for Thermal Imaging Analysis in Ophthalmology: Comparative Insights and Future Directions. 10. Mind Scan: Dynamic Brain Cancer Detection Dashboard with MRI Imaging. 11. Interactive and Dynamic Stock Market Dashboard. 12. Performance Analysis of Hierarchical Clustering and High-Dimensional Clustering Algorithms on Network IDS Benchmark Datasets using Interactive Dynamic Dashboard. 13. Breaking Boundaries: The Next Frontier in Skin Cancer Detection with Multi-Scale Deep Learning and Transfer Learning. 14. Nourish Net: Machine Learning Innovations in Food Recognition and Calorie Monitoring. 15. Comprehensive Study of Coral Reef Assessment and Colour Correction using Deep Learning.
Biographie:
presently EIGHT Ph.D. scholars are pursuing their degree. She has published 51 research articles in International Journals and 87 International/National Conferences and 19 book chapters. She has authored two research books and three edited volumes. She serves as an Editorial Board Member of two Journals. She is sanctioned with funded major research projects of UGC, DST, ICMR and PMMMNMTT for an outlay of Rs.2.39 Cr. She serves as the coordinator for her department's funding schemes, under UGC-SAP DRS-I (Rs.40 Lakhs) and DST-FIST (Rs.45 Lakhs).
Shaila S.G. is a Professor and Chairperson for the Data Science Program in the Department of Computer Science & Engineering. She earned her PhD in Computer Science from National Institute of Technology, Tiruchirapalli, Tamil Nadu for her thesis on Multimedia Information Retrieval in Distributed System. She has 17 years of experience in teaching & research in the concerned field. She has worked for Central Power Research Institute as a Trainee Engineer. Later, she worked as a Junior Research Fellow for a project funded by Dept. of Science and Technology (DST), India for a period of 3 years. She has also worked in Indo-US collaborated project in a Student Exchange program for Obama-Singh Knowledge Initiative Program in the University of Nevada (UNLV), Las Vegas, United States. She is a certified IBM trainer for the Business Intelligence. Her research areas are Data mining, Information Retrieval, Image Processing and Computational Neuroscience. She has published more than 45 research articles in reputed Journals and Conferences, books and book chapters. She has 11 Indian Patents and 2 Australian Patents.
...Sommaire:
The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader....
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