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All Outputs (213)

Identifying competitive strategies for each phase of the intermodal terminal life cycle (2017)
Journal Article
Monios, J., & Bergqvist, R. (2017). Identifying competitive strategies for each phase of the intermodal terminal life cycle. Research in Transportation Business & Management, 23, 97-105. https://doi.org/10.1016/j.rtbm.2017.02.007

This paper applies the marketing strategy literature to the four phases of the intermodal terminal life cycle (ITLC) to identify the appropriate competitive strategy to be undertaken at each phase, based on fluctuating markets and competitor behaviou... Read More about Identifying competitive strategies for each phase of the intermodal terminal life cycle.

Assistive technology for people with dementia: an overview and bibliometric study (2017)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2017). Assistive technology for people with dementia: an overview and bibliometric study. Health Information and Libraries Journal, 34(1), 5-19. https://doi.org/10.1111/hir.12173

Background This study presents an overview of recent research activities in assistive technology (AT) for people with dementia. Bibliometric studies are used to explore breadth and depth of different research areas, yet this method has not yet been... Read More about Assistive technology for people with dementia: an overview and bibliometric study.

Parametric design and daylighting: A literature review (2017)
Journal Article
Eltaweel, A., & SU, Y. (2017). Parametric design and daylighting: A literature review. Renewable and Sustainable Energy Reviews, 73, 1086-1103. https://doi.org/10.1016/j.rser.2017.02.011

In the history, architecture was exploited to the human being to protect him from unsteady environmental conditions. In the past centuries, architecture was pioneer art which has special features such as; simplicity, organization, clear style, accura... Read More about Parametric design and daylighting: A literature review.

Group sparse regularization for deep neural networks (2017)
Journal Article
Scardapane, S., Comminiello, D., Hussain, A., & Uncini, A. (2017). Group sparse regularization for deep neural networks. Neurocomputing, 241, 81-89. https://doi.org/10.1016/j.neucom.2017.02.029

In this paper, we address the challenging task of simultaneously optimizing (i) the weights of a neural network, (ii) the number of neurons for each hidden layer, and (iii) the subset of active input features (i.e., feature selection). While these pr... Read More about Group sparse regularization for deep neural networks.

Structural Health Monitoring Using Textile Reinforcement Structures with Integrated Optical Fiber Sensors (2017)
Journal Article
Bremer, K., Weigand, F., Zheng, Y., Alwis, L. S., Helbig, R., & Roth, B. (2017). Structural Health Monitoring Using Textile Reinforcement Structures with Integrated Optical Fiber Sensors. Sensors, 17(2), 345. https://doi.org/10.3390/s17020345

Optical fiber-based sensors " embedded " in functionalized carbon structures (FCSs) and textile net structures (TNSs) based on alkaline-resistant glass are introduced for the purpose of structural health monitoring (SHM) of concrete-based structures.... Read More about Structural Health Monitoring Using Textile Reinforcement Structures with Integrated Optical Fiber Sensors.

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis (2017)
Journal Article
Poria, S., Peng, H., Hussain, A., Howard, N., & Cambria, E. (2017). Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing, 261, 217-230. https://doi.org/10.1016/j.neucom.2016.0

The advent of the Social Web has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the world. In pace with a global deluge of videos from billions of computers... Read More about Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.

The interplay of formal and informal institutions between local and regional authorities when creating well-functioning public transport systems (2017)
Journal Article
Hrelja, R., Monios, J., Rye, T., Isaksson, K., & Scholten, C. (2017). The interplay of formal and informal institutions between local and regional authorities when creating well-functioning public transport systems. International Journal of Sustainable Tr

This paper analyzes how public transport planning is managed in institutional contexts where governance is spread across local and regional scales. The paper sheds light on two facets of the relationship between local and regional government: first,... Read More about The interplay of formal and informal institutions between local and regional authorities when creating well-functioning public transport systems.

A review of affective computing: From unimodal analysis to multimodal fusion (2017)
Journal Article
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017). A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, 98-125. https://doi.org/10.1016/j.inffus.2017.02.003

Affective computing is an emerging interdisciplinary research field bringing together researchers and practitioners from various fields, ranging from artificial intelligence, natural language processing, to cognitive and social sciences. With the pro... Read More about A review of affective computing: From unimodal analysis to multimodal fusion.

An Investigation into the Dependency of Cutting Forces on the Volume Fraction and Fibre Orientation during Machining Composite Materials (2017)
Journal Article
Kahwash, F., Shyha, I., & Maheri, A. (2017). An Investigation into the Dependency of Cutting Forces on the Volume Fraction and Fibre Orientation during Machining Composite Materials. Materials Science Forum, 882, 61-65. https://doi.org/10.4028/www.scienti

This paper presents an empirical force model quantifying the effect of fibre volume fraction and fibre orientation on the cutting forces during orthogonal cutting of unidirectional composites. Glass fibre plates and high speed steel cutting tools are... Read More about An Investigation into the Dependency of Cutting Forces on the Volume Fraction and Fibre Orientation during Machining Composite Materials.

Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification (2017)
Journal Article
Ali, R., Hussain, A., & Abel, A. (2017). Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification. ARPN Journal of Engineering and Applied Sciences, 12(2), 310-316

In the 21st Century, a key challenge in both wild and cultured fish populations for control and management of disease is to securely and consistently perform pathogen identification. To provide automated accurate classification for the challeng... Read More about Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification.

A stabilised immersed boundary method on hierarchical b-spline grids for fluid–rigid body interaction with solid–solid contact (2017)
Journal Article
Kadapa, C., Dettmer, W., & Perić, D. (2017). A stabilised immersed boundary method on hierarchical b-spline grids for fluid–rigid body interaction with solid–solid contact. Computer Methods in Applied Mechanics and Engineering, 318, 242-269. https://

An accurate, efficient and robust numerical scheme is presented for the simulation of the interaction between flexibly-supported rigid bodies and incompressible fluid flow with topology changes and solid–solid contact. The solution of the incompressi... Read More about A stabilised immersed boundary method on hierarchical b-spline grids for fluid–rigid body interaction with solid–solid contact.

IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems (2017)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2017). IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems. Sensors, 17(2), Article 241. https://doi.org/10.3390/s17020241

In wireless body area sensor networks (WBASNs), Quality of Service (QoS) provision for patient monitoring systems in terms of time-critical deadlines, high throughput and energy efficiency is a challenging task. The periodic data from these systems g... Read More about IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems.

Malaysian tertiary level students and their understanding, knowledge and perception of nanotechnology (2017)
Journal Article
Karim, M. E., Akhter, S., Munir, A. B., Muhammad-Sukki, F., Hoque, K. E., Yasin, S. H. M., Abu-Bakar, S. S., Abu-Bakar, S. H., Bani, N. A., Wirba, A. V., & Mas'ud, A. A. (2017). Malaysian tertiary level students and their understanding, knowledge and perc

Nanotechnology, being an emerging and enabling technology, can be utilised to exploit burgeoning opportunities in all aspects. Almost every kind of material with any feature can theoretically be developed using nanoscale technology and that is why co... Read More about Malaysian tertiary level students and their understanding, knowledge and perception of nanotechnology.

Relationship between demographic characteristics and hand grip measurement of students in UTMKL (2017)
Journal Article
Saifuzzaman, A. D., Hisan, F. N. A. N., Yasak, H. A. M., Kai, L. C., Bani, N. A., Noor, N. M., …Abu-Bakar, S. H. (2017). Relationship between demographic characteristics and hand grip measurement of students in UTMKL. Journal of Advanced Research in App

Biomechanical motion analysis is concerned with the investigation of movement of a subject. In particular, this project is interested in the movement found in nature, in biological systems such as human pinch and human grip. The motion is to be inves... Read More about Relationship between demographic characteristics and hand grip measurement of students in UTMKL.

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.

Measuring embodied carbon dioxide equivalent of buildings: A review and critique of current industry practice (2017)
Journal Article
De Wolf, C., Pomponi, F., & Moncaster, A. (2017). Measuring embodied carbon dioxide equivalent of buildings: A review and critique of current industry practice. Energy and Buildings, 140, 68-80. https://doi.org/10.1016/j.enbuild.2017.01.075

Lowering the embodied carbon dioxide equivalent (embodied CO2e) of buildings is an essential response to national and global targets for carbon reduction. Globally, construction industry is developing tools, databases and practices for measuring embo... Read More about Measuring embodied carbon dioxide equivalent of buildings: A review and critique of current industry practice.

High-dimensional function approximation with neural networks for large volumes of data (2017)
Journal Article
Andras, P. (2018). High-dimensional function approximation with neural networks for large volumes of data. IEEE Transactions on Neural Networks and Learning Systems, 29(2), 500-508. https://doi.org/10.1109/TNNLS.2017.2651985

Approximation of high-dimensional functions is a challenge for neural networks due to the curse of dimensionality. Often the data for which the approximated function is defined resides on a low-dimensional manifold and in principle the approximation... Read More about High-dimensional function approximation with neural networks for large volumes of data.

A neuro-inspired visual tracking method based on programmable system-on-chip platform (2017)
Journal Article
Yang, S., Wong-Lin, K., Andrew, J., Mak, T., & McGinnity, T. M. (2018). A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Computing and Applications, 30(9), 2697-2708. https://doi.org/10.1007/s00521-017-2847-5

Using programmable system-on-chip to implement computer vision functions poses many challenges due to highly constrained resources in cost, size and power consumption. In this work, we propose a new neuro-inspired image processing model and implement... Read More about A neuro-inspired visual tracking method based on programmable system-on-chip platform.

The converging-input converging-state property for Lur’e systems (2017)
Journal Article
Bill, A., Guiver, C., Logemann, H., & Townley, S. (2017). The converging-input converging-state property for Lur’e systems. Mathematics of Control, Signals, and Systems, 29, Article 4 (2017). https://doi.org/10.1007/s00498-016-0184-3

Using methods from classical absolute stability theory, combined with recent results on input-to-state stability (ISS) of Lur{\textquoteright}e systems, we derive necessary and sufficient conditions for a class of Lur{\textquoteright}e systems to hav... Read More about The converging-input converging-state property for Lur’e systems.