Intelligence Enabled Research : DoSIER 2019 / / edited by Siddhartha Bhattacharyya, Sushmita Mitra, Paramartha Dutta

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (139 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Electrical engineering; Robotics; Automation; Signal processing; Image processing; Speech processing systems; Computational Intelligence; Communications Engineering, Networks; Robotics and Automation; Signal, Image and Speech Processing
• Persona (resp. second.): BhattacharyyaSiddhartha; MitraSushmita; DuttaParamartha
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Chapter 1. Vehicle Pollution Detection from Images using Deep Learning -- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance -- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics -- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization -- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set -- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method -- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks -- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases -- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem -- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study -- Chapter 12. Temporal Sentiment Analysis of the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools -- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency -- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification.
• Sommario/riassunto: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies. .
• Titolo autorizzato: Intelligence Enabled Research
• ISBN: 981-15-2021-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484962903321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 1109