MobileCloud MMBDHS 2017 : Special Issue on Mobile Cloud-Assisted Paradigms for Management of Multimedia Big Data in Healthcare Systems
Call For Papers
Special Issue on Mobile Cloud-Assisted Paradigms for Management of Multimedia Big Data in Healthcare Systems
in Elsevier "International Journal of Information Management", IF: 3.872 (SCI/SCIE).
The recent advancements in mobile cloud computing have shown promising results in the areas of business, industry, and sciences in general and healthcare systems in particular. Currently, the amount of sensitive medical data is increasing at an exponential rate, making its management, indexing, searching and retrieval inherently difficult for healthcare centers. Therefore, researchers have started looking at mobile-cloud-assisted paradigms for effective management and analysis of large-scale raw data in remote patient monitoring centers and centralized healthcare systems, because such paradigms have created new opportunities in healthcare for patients, clinical staff and specialists. Considering the volume, velocity, versatility, security, indexing, and retrieval of big medical data, new diverse challenges for practitioners and researchers of mobile-cloud computing and medical data have arisen. To address those challenges, mobile-cloud computing combined with computational intelligence paradigms, such as neural networks, swarm intelligence, expert systems, evolutionary computing, fuzzy systems, and artificial immune systems, can play an important role. Furthermore, mobile cloud computing combined with existing and emerging technologies can provide numerous innovative services in healthcare, such as real-time remote patient monitoring, on-demand surveillance, collaborative event monitoring, and tele-endoscopy.
In this special issue, we invite researchers to contribute high-quality articles and surveys focusing on mobile cloud computing and computational intelligence techniques for effective management of multimedia big data in healthcare systems. The relevant topics of this special issue include but are not limited to:
• Mobile cloud computing for efficient management of medical data in healthcare systems.
• Deep learning and machine learning algorithms for understanding of multimedia data in healthcare systems
• Intelligent techniques for multimedia security in healthcare systems
• Computational intelligence based solutions for sensitive medical data in healthcare systems
• Tools and services for data analysis in healthcare systems
• Evolutionary algorithms for medical data analysis and recommendations
• Feature extraction methods for efficient indexing and retrieval of medical data
• Chaotic systems for privacy issues of medical data in healthcare centers
• Intrusion detection and information hiding techniques for security of medical data
• Mobile and wearable computing systems and services for medical big data analysis
• Mobile cloud-assisted healthcare opportunities for future smart cities
Paper Submission: 15 November, 2017
Revision/Acceptance Notification: 30 January, 2018
Revised Manuscript Due: 20 March, 2018
Final Decision Notification: 15 May, 2018
Publication: As per EIC’s choice
Dr. Irfan Mehmood (Leading Guest Editor)
Assistant Professor, Sejong University, Seoul, Republic of Korea
Email: email@example.com, firstname.lastname@example.org
Dr. Zhihan Lv
Research Associate, University College London, UK
Dr. Yudong Zhang
Professor, Nanjing Normal University, China and Columbia University, USA
Dr. Kaoru Ota
Assistant Professor, Muroran Institute of Technology, Japan
Dr. Muhammad Sajjad
Assistant Professor, Islamia College University Peshawar, Pakistan
Dr. Amit Kumar Singh
Assistant Professor, Department of Computer Science & Engineering, Jaypee University of Information Technology, India
Instructions for Submission
Papers will be evaluated based on their originality, presentation, relevance and contributions, as well as their suitability to the special issue. The submitted papers must be written in excellent English and describe original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue. Extended conference contributions must have at least 50% difference from the original works (the authors must indicate the conference name and make a reference to the base conference paper). Editorial office and GEs team will make an initial determination on the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Final acceptance will be based on their qualities and recommendations of the reviewers. The authors must select article type “MobileCloud MMBDHS” when submitting your paper to http://ees.elsevier.com/ijim/.
For any queries please contact the Guest editors.
Mehmood, Irfan, Muhammad Sajjad, and Sung Wook Baik. "Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors." Sensors 14.9 (2014): 17112-17145.
M. Sajjad, K. Muhammad, S. W. Baik, S. Rho, Z. Jan, S.-S. Yeo, et al., "Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices," Multimedia Tools and Applications, vol. 76, pp. 3519-3536, 2017.
Dong, M., Li, H., Ota, K., Yang, L. T., & Zhu, H. (2014). Multicloud-based evacuation services for emergency management. IEEE Cloud Computing, 1(4), 50-59.
Lv, Zhihan, Javier Chirivella, and Pablo Gagliardo. "Bigdata oriented multimedia mobile health applications." Journal of medical systems 40.5 (2016): 1-10.
Huaqun, W. A. N. G., Keqiu, L. I., Kaoru, O. T. A., & Jian, S. H. E. N. (2016). Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things. IEICE Transactions on Information and Systems, 99(8), 1966-1973.
Sajjad, Muhammad, et al. "Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities." IEEE Access (2016).