Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs
Journal Article
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020)
Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228
Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scala...
Visual attention model with a novel learning strategy and its application to target detection from SAR images
Conference Proceeding
Gao, F., Xue, X., Wang, J., Sun, J., Hussain, A., & Yang, E. (2016)
Visual attention model with a novel learning strategy and its application to target detection from SAR images. In Advances in Brain Inspired Cognitive Systems. , (149-160). https://doi.org/10.1007/978-3-319-49685-6_14
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, biologi...
Predicting insulin resistance in children using a machine-learning-based clinical decision support system
Conference Proceeding
Hall, A. J., Hussain, A., & Shaikh, M. G. (2016)
Predicting insulin resistance in children using a machine-learning-based clinical decision support system. In Advances in Brain Inspired Cognitive Systems, (274-283). https://doi.org/10.1007/978-3-319-49685-6_25
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 capa...
Modified cat swarm optimization for clustering
Conference Proceeding
Razzaq, S., Maqbool, F., & Hussain, A. (2016)
Modified cat swarm optimization for clustering. In Advances in Brain Inspired Cognitive Systems 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings, (161-170). https://doi.org/10.1007/978-3-319-49685-6_15
Clustering is one of the most challenging optimization problems. Many Swarm Intelligence techniques including Ant Colony optimization (ACO), Particle Swarm Optimization (PSO),...
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]
Journal Article
Scardapane, S., Panella, M., Comminiello, D., Hussain, A., & Uncini, A. (2016)
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Computational Intelligence Magazine, 11(4), 59-70. https://doi.org/10.1109/MCI.2016.2601759
In a network of agents, a widespread problem is the need to estimate a common underlying function starting from locally distributed measurements. Real-world scenarios may not ...
Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching
Journal Article
Tran, H., Cambria, E., & Hussain, A. (2016)
Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cognitive Computation, 8(6), 1074-1086. https://doi.org/10.1007/s12559-016-9418-4
Background/Introduction
Common-sense reasoning is concerned with simulating cognitive human ability to make presumptions about the type and essence of ordinary situations enco...
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
Journal Article
Dashtipour, K., Poria, S., Hussain, A., Cambria, E., Hawalah, A. Y. A., Gelbukh, A., & Zhou, Q. (2016)
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cognitive Computation, 8(4), 757-771. https://doi.org/10.1007/s12559-016-9415-7
With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. Th...
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
Journal Article
Ullah, A., Li, J., Hussain, A., & Yang, E. (2016)
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8(5), 992-1005. https://doi.org/10.1007/s12559-016-9391-y
Cloud elasticity augments applications to dynamically adapt to changes in demand by acquiring or releasing computational resources on the fly. Recently, we developed a framewo...
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis
Journal Article
Ofek, N., Poria, S., Rokach, L., Cambria, E., Hussain, A., & Shabtai, A. (2016)
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cognitive Computation, 8(3), 467-477. https://doi.org/10.1007/s12559-015-9375-3
Sentiment analysis in natural language text is a challenging task involving a deep understanding of both syntax and semantics. Leveraging the polarity of multiword expressions...
Integrating twitter traffic information with kalman filter models for public transportation vehicle arrival time prediction
Book Chapter
Abidin, A. F., Kolberg, M., & Hussain, A. (2016)
Integrating twitter traffic information with kalman filter models for public transportation vehicle arrival time prediction. In Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications (67-82). Springer. https://doi.org/10.1007/978-3-319-25313-8_5
Accurate bus arrival time prediction is key for improving the attractiveness of public transport, as it helps users better manage their travel schedule. This paper proposes a ...