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Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems (2016)
Presentation / Conference Contribution
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016, July). Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. Presented at IEEE World Congress on Computational Intelligence

In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control scheme based on both Fuzzy Logic Controllers (FLCs) and Hyper-heuristics (HHs).... Read More about Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems.

Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet (2016)
Presentation / Conference Contribution
Paulin, A., & Thuemmler, C. (2016, September). Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet. Presented at 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)

This paper describes the use of the Secure SQL Server system (SecSQL) – a system for dynamic fine-grained access control, in the context of e-Health. The system was used in two heterogeneous use-cases of a European project, namely: to govern drugs al... Read More about Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet.

Determinants of Next Generation e-Health Network and Architecture Specifications (2016)
Presentation / Conference Contribution
Thuemmler, C., Paulin, A., & Lim, A. K. (2016, September). Determinants of Next Generation e-Health Network and Architecture Specifications. Presented at 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)

This paper summarizes the determinants for future e-Health network and IT infrastructures in the health care environment. The paper bases on observations conducted as part of a larger study at a university hospital in Munich, and summarizes ongoing d... Read More about Determinants of Next Generation e-Health Network and Architecture Specifications.

U-Prove Based Security Framework for Mobile Device Authentication in eHealth Networks (2016)
Presentation / Conference Contribution
Zeb, K., Saleem, K., Al Muhtadi, J., & Thuemmler, C. (2016, September). U-Prove Based Security Framework for Mobile Device Authentication in eHealth Networks. Presented at 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)

Cybersecurity in the health care domain is one of the most important and critical issues of this era. In fact, it was reported in 2014 that on the black market medical records are worth 10 times more than credit card details [1]. Datasets experience... Read More about U-Prove Based Security Framework for Mobile Device Authentication in eHealth Networks.

Health 4.0: The Case of Multiple Sclerosis (2016)
Presentation / Conference Contribution
Grigoriadis, N., Bakirtzis, C., Politis, C., Danas, K., & Thuemmler, C. (2016, September). Health 4.0: The Case of Multiple Sclerosis. Presented at 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munch, Germany

Multiple sclerosis is a chronic and variable disease in matters of symptoms, clinical course and outcome. The ultimate goal of currently used drugs and therapeutic strategies is the control of disease activity and the delay of the ongoing disability.... Read More about Health 4.0: The Case of Multiple Sclerosis.

A new dynamic trickle algorithm for low power and lossy networks (2016)
Presentation / Conference Contribution
Yassein, M. B., Aljawarneh, S., Masa'deh, E., Ghaleb, B., & Masa'deh, R. (2016, September). A new dynamic trickle algorithm for low power and lossy networks. Presented at 2016 International Conference on Engineering & MIS (ICEMIS), Agadir, Morocco

The main component of Routing Protocol for Low Power and Lossy Networks (RPL) is the trickle timer algorithm. Such algorithm is used to control the flow of messages through the Internet of Things (IoT) network. However, the trickle algorithm is suffe... Read More about A new dynamic trickle algorithm for low power and lossy networks.

The utilization of system usability scale in learning management systems: a case study of Jeddah Community College (2016)
Presentation / Conference Contribution
Binyamin, S., Rutter, M., & Smith, S. (2016, November). The utilization of system usability scale in learning management systems: a case study of Jeddah Community College. Presented at 9th annual International Conference of Education, Research and Innovation, Seville, Spain

Learning Management Systems (LMS) have been widely adopted in many higher educational institutions to support teaching and learning activities. The study was conducted with the aim of investigating the usability of the learning management system (Bla... Read More about The utilization of system usability scale in learning management systems: a case study of Jeddah Community College.

Extracting online information from dual and multiple data streams (2016)
Journal Article
Malik, Z. K., Hussain, A., & Wu, Q. M. J. (2018). Extracting online information from dual and multiple data streams. Neural Computing and Applications, 30(1), 87-98. https://doi.org/10.1007/s00521-016-2647-3

In this paper, we consider the challenging problem of finding shared information in multiple data streams simultaneously. The standard statistical method for doing this is the well-known canonical correlation analysis (CCA) approach. We begin by deve... Read More about Extracting online information from dual and multiple data streams.

A novel fully automated liver and HCC tumor segmentation system using morphological operations (2016)
Presentation / Conference Contribution
Ali, L., Hussain, A., Li, J., Howard, N., Shah, A., Sudhakar, U., Shah, M., & Hussain, Z. (2016, November). A novel fully automated liver and HCC tumor segmentation system using morphological operations. Presented at 8th International Conference, BICS 2016, Beijing, China

Early detection and diagnosis of Hepatocellular Carcinoma (HCC) is the most discriminating step in liver cancer management. Image processing is primarily used, where fast and accurate Computed Tomography (CT) liver image segmentation is required for... Read More about A novel fully automated liver and HCC tumor segmentation system using morphological operations.

Modified cat swarm optimization for clustering (2016)
Presentation / Conference Contribution
Razzaq, S., Maqbool, F., & Hussain, A. (2016, November). Modified cat swarm optimization for clustering. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

Clustering is one of the most challenging optimization problems. Many Swarm Intelligence techniques including Ant Colony optimization (ACO), Particle Swarm Optimization (PSO), and Honey Bee Optimization (HBO) have been used to solve clustering. Cat S... Read More about Modified cat swarm optimization for clustering.