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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

An excellent guide for surveying the state-of-the-art in computational intelligence as it is applied to challenging and real-world problems

Arun Kumar Sangaiah (Edited by), Zhiyong Zhang (Edited by), Michael Sheng (Edited by)

9780128133149, Elsevier Science

Paperback, published 25 August 2018

362 pages
23.4 x 19 x 2.3 cm, 0.45 kg

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering.

It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

1. A Cloud-Based Big Data System To Support Visually Impaired People Huseyin Temucin, Ali Seydi Keceli, Aydin Kaya, Hamdi Yalin Yalic, Bedir Tekinerdogan 2. Computational Intelligence in Smart Grid Environment Viera Rozinajová, Anna Bou Ezzeddine, Marek Lóderer, Jaroslav Loebl, Róbert Magyar, Petra Vrablecová 3. Patient Facial Emotion Recognition and Sentiment Analysis Using Secure Cloud With Hardware Acceleration Alex D. Torres, Hao Yan, Armin Haj Aboutalebi, Arun Das, Lide Duan, Paul Rad 4. Novel Computational Intelligence Techniques for Automatic Pain Detection and Pain Intensity Level Estimation From Facial Expressions Using Distributed Computing for Big Data A. Sherly Alphonse, Dejey Dharma 5. Computational Intelligence Enabling the Development of Efficient Clinical Decision Support Systems: Case Study of Heart Failure Oluwarotimi Williams Samuel, Grace Mojisola Asogbon, Arun Kumar Sangaiah, Guanglin Li 6. Aspect Oriented Modeling of Missing Data Imputation for Internet of Things (IoT) Based Healthcare Infrastructure Senthil Murugan Balakrishnan, Arun Kumar Sangaiah 7. A Hybrid Computational Intelligence Decision Making Model for Multimedia Cloud Based Applications Chinu Singla, Sakshi Kaushal, Amandeep Verma, Harish Kumar 8. Energy-Constrained Workflow Scheduling in Cloud Using E-DSOS Algorithm Megha Sharma, Amandeep Verma, Arun Kumar Sangaiah 9. Producing Better Disaster Management Plan in Post-Disaster Situation Using Social Media Mining Sounak Sadhukhan, Soumya Banerjee, Prasun Das, Arun Kumar Sangaiah 10. Metaheuristic Algorithms: A Comprehensive Review Mohamed Abdel-Basset, Laila Abdel-Fatah, Arun Kumar Sangaiah 11. Unsupervised Anomaly Detection for High Dimensional Data—an Exploratory Analysis Anitha Ramchandran, Arun Kumar Sangaiah 12. Fog – Driven Healthcare Framework for Security Analysis Shalini Parasuraman, Arun Kumar Sangaiah 13. Medical Quality of Service Optimization Over Internet of Multimedia Things Ali Hassan Sodhro, Arun Kumar Sangaiah, Gul Hassan Sodhro, Mir Muhammad Lodro, Aicha Sekhari, Yacine Ouzrout, Sandeep Pirbhulal, Kaneez Fatima 14. Energy-Efficiency of Tools and Applications on Internet Ali Hassan Sodhro, Arun Kumar Sangaiah, Gul Hassan Sodhro, Aicha Sekhari, Yacine Ouzrout, Sandeep Pirbhulal 15. Transforming Healthcare Via Big Data Analytics S.S. Blessy Trencia Lincy, N. Suresh Kumar

Subject Areas: Artificial intelligence [UYQ], Computer networking & communications [UT], Biomedical engineering [MQW]

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