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

Erscheinungsjahr 2018
ISBN: 978-0-12-813314-9
Verlag: ACADEMIC PR INC

Buch, Englisch, 362 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 626 g

Reihe: Intelligent Data-Centric Syste

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.

Zielgruppe

<p>Researchers and PhD who want to understand and explore the application of computational intelligence aspects for design and development of data centric system in the context of multi-media cloud, big data era and its related applications such as smarter health care, homeland security, bio engineering systems, robotics and intelligent assistance etc.</p>

Autoren/Hrsg.

Sangaiah, Arun Kumar

Zhang, Zhiyong

Sheng, Michael

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

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

Über Autor(innen)

Sangaiah, Arun Kumar
Prof. Arun Kumar Sangaiah received his PhD from the School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He is also a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. He has published more than 300 research articles in refereed journals, 11 edited books, one patent (held and filed), as well as four projects funded by MOST-TAIWAN, one funded by Ministry of IT of India, and several international projects (CAS, Guangdong Research fund, Australian Research Council). Dr. Sangaiah has received many awards, Yushan Young Scholar, Clarivate Top 1% Highly Cited Researcher (2021,2022, 2023), Top 2% Scientist (Standord Report-2020,2021,2022, 2023), PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. He is also serving as Editor-in-Chief and/or Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020) and etc.

Sheng, Michael
Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

Zhang, Zhiyong
Prof. Zhiyong Zhang received his Master, Ph.D. degrees in Computer Science from Dalian University of Technology and Xidian University, respectively. He was a Post-Doctoral Research Fellow at Xi'an Jiaotong University, China. He is currently a full Henan Province Distinguished Professor and Dean with Department of Computer Science, College of Information Engineering, Henan University of Science & Technology. Prof. Zhang is a visiting professor of Computer Science Department, Iowa State University.
He is an ACM Senior Member, IEEE Senior Member, IEEE Systems, Man, Cybernetics Society Technical Committee on Soft Computing, World Federation on Soft Computing Young Researchers Committee, Membership for Digital Rights Management Technical Specialist Workgroup Attached to China National Audio, Video, Multimedia System and Device Standardization Technologies Committee. Prof. Zhang's research interests include multimedia social networks and digital rights management, applied soft computing, trusted computing, as well as security risk management. He has published over 80 scientific papers and four books on the above research fields, and held 8 granted patents.