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302 results

Customized 2D Barcode Sensing for Anti-Counterfeiting Application in Smart IoT with Fast Encoding and Information Hiding

Journal Article
Chen, R., Yu, Y., Chen, J., Zhong, Y., Zhao, H., Hussain, A., & Tan, H. (2020)
Customized 2D Barcode Sensing for Anti-Counterfeiting Application in Smart IoT with Fast Encoding and Information Hiding. Sensors, 20(17), https://doi.org/10.3390/s20174926
With the development of commodity economy, the emergence of fake and shoddy products has seriously harmed the interests of consumers and enterprises. To tackle this challenge,...

Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images

Journal Article
Gao, F., He, Y., Wang, J., Hussain, A., & Zhou, H. (2020)
Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images. Remote Sensing, 12(16), https://doi.org/10.3390/rs12162619
In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it is urgent to develop methods with higher accuracy and faster speed for ship dete...

A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation

Journal Article
Yue, Z., Gao, F., Xiong, Q., Wang, J., Hussain, A., & Zhou, H. (2020)
A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4585-4598. https://doi.org/10.1109/jstars.2020.3016064
As an important step of synthetic aperture radar image interpretation, synthetic aperture radar image segmentation aims at segmenting an image into different regions in terms ...

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning

Journal Article
Xiong, F., Liu, Z., Huang, K., Yang, X., Qiao, H., & Hussain, A. (2020)
Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. Neural Networks, 129, 163-173. https://doi.org/10.1016/j.neunet.2020.06.003
Continual learning, a widespread ability in people and animals, aims to learn and acquire new knowledge and skills continuously. Catastrophic forgetting usually occurs in cont...

Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes

Journal Article
Zhong, X., Cambria, E., & Hussain, A. (2020)
Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cognitive Computation, 12, 844-862. https://doi.org/10.1007/s12559-020-09714-8
Time expressions and named entities play important roles in data mining, information retrieval, and natural language processing. However, the conventional position-based taggi...

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework

Journal Article
Howard, N., Chouikhi, N., Adeel, A., Dial, K., Howard, A., & Hussain, A. (2020)
BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. Frontiers in Computational Neuroscience, 14, https://doi.org/10.3389/fncom.2020.00016
Human intelligence is constituted by a multitude of cognitive functions activated either directly or indirectly by external stimuli of various kinds. Computational approaches ...

Advances in Brain Inspired Cognitive Systems: 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings

Conference Proceeding
(2020)
Advances in Brain Inspired Cognitive Systems: 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings. In J. Ren, A. Hussain, H. Zhao, K. Huang, J. Zheng, J. Cai, …Y. Xiao (Eds.), Advances in Brain Inspired Cognitive Systemshttps://doi.org/10.1007/978-3-030-39431-8
This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in Ju...

Design and evaluation of a biologically-inspired cloud elasticity framework

Journal Article
Ullah, A., Li, J., & Hussain, A. (in press)
Design and evaluation of a biologically-inspired cloud elasticity framework. Cluster Computing, https://doi.org/10.1007/s10586-020-03073-7
The elasticity in cloud is essential to the effective management of computational resources as it enables readjustment at runtime to meet application demands. Over the years, ...

Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications

Journal Article
Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., …Alsarhan, A. (2020)
Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications. IEEE Access, 8, 29395 - 29406. https://doi.org/10.1109/access.2020.2969750
Wireless communication using existing coding models poses several challenges for RF signals due to multipath scattering, rapid fluctuations in signal strength and...

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning

Conference Proceeding
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., …Hussain, A. (2020)
Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. In Advances in Brain Inspired Cognitive Systems. , (76-85). https://doi.org/10.1007/978-3-030-39431-8_8
Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper,...

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