Outputs (247)

Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles (2016)
Presentation / Conference Contribution
Rothenbucher, D., Li, J., Sirkin, D., Mok, B., & Ju, W. (2016, August). Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles. Presented at 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, New York, USA

How will pedestrians and bicyclists interact with autonomous vehicles when there is no human driver? In this paper, we outline a novel method for performing observational field experiments to investigate interactions with driverless cars. We provide... Read More about Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles.

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). The utilization of system usability scale in learning management systems: a case study of Jeddah Community College. In ICERI2016 Proceedings (5314-5323). https://doi.org/10.21125/iceri.2016.2290

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.

Visual attention model with a novel learning strategy and its application to target detection from SAR images (2016)
Presentation / Conference Contribution
Gao, F., Xue, X., Wang, J., Sun, J., Hussain, A., & Yang, E. (2016, November). Visual attention model with a novel learning strategy and its application to target detection from SAR images. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

The selective visual attention mechanism in human visual system helps human to act efficiently when dealing with massive visual information. Over the last two decades, biologically inspired attention model has drawn lots of research attention and man... Read More about Visual attention model with a novel learning strategy and its application to target detection from SAR images.

Predicting insulin resistance in children using a machine-learning-based clinical decision support system (2016)
Presentation / Conference Contribution
Hall, A. J., Hussain, A., & Shaikh, M. G. (2016, November). Predicting insulin resistance in children using a machine-learning-based clinical decision support system. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

This study proposes a new diagnostic approach based on application of machine learning techniques to anthropometric patient features in order to create a predictive model capable of diagnosing insulin resistance (HOMA-IR). As part of the study, a... Read More about Predicting insulin resistance in children using a machine-learning-based clinical decision support system.

PerSent: A freely available Persian sentiment lexicon (2016)
Presentation / Conference Contribution
Dashtipour, K., Hussain, A., Zhou, Q., Gelbukh, A., Hawalah, A. Y. A., & Cambria, E. (2016, November). PerSent: A freely available Persian sentiment lexicon. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

People need to know other people’s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people’s attitude towards their products and services and use feedback from the customers to impro... Read More about PerSent: A freely available Persian sentiment lexicon.

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.

Deep and sparse learning in speech and language processing: An overview (2016)
Presentation / Conference Contribution
Wang, D., Zhou, Q., & Hussain, A. (2016). Deep and sparse learning in speech and language processing: An overview. In Advances in Brain Inspired Cognitive Systems (171-183). https://doi.org/10.1007/978-3-319-49685-6_16

Large-scale deep neural models, e.g., deep neural networks (DNN) and recurrent neural networks (RNN), have demonstrated significant success in solving various challenging tasks of speech and language processing (SLP), including speech recognition, sp... Read More about Deep and sparse learning in speech and language processing: An overview.

Continuous time recurrent neural network model of recurrent collaterals in the hippocampus CA3 region (2016)
Presentation / Conference Contribution
Shiva, A. S., & Hussain, A. (2016, November). Continuous time recurrent neural network model of recurrent collaterals in the hippocampus CA3 region. Presented at BICS 2016: 8th International Conference on Brain Inspired Cognitive Systems, Beijing, China

Recurrent collaterals in the brain represent the recollection and execution of various monotonous activities such as breathing, brushing our teeth, chewing, walking, etc. These recurrent collaterals are found throughout the brain, each pertaining to... Read More about Continuous time recurrent neural network model of recurrent collaterals in the hippocampus CA3 region.

An investigation of machine learning and neural computation paradigms in the design of clinical decision support systems (CDSSs) (2016)
Presentation / Conference Contribution
Wajid, S. K., Hussain, A., Luo, B., & Huang, K. (2016, November). An investigation of machine learning and neural computation paradigms in the design of clinical decision support systems (CDSSs). Presented at BICS 2016: 8th International Conference on Brain Inspired Cognitive Systems, Beijing, China

This paper reviews the state of the art techniques for designing next generation CDSSs. CDSS can aid physicians and radiologists to better analyse and treat patients by combining their respective clinical expertise with complementary capabilities of... Read More about An investigation of machine learning and neural computation paradigms in the design of clinical decision support systems (CDSSs).