Outputs (654)

A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning (2020)
Journal Article
Aslan, A., Bakir, I., & Vis, I. F. (2020). A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning. European Journal of Operational Research, 286(2), 673-688. https://doi.org/10.1016/j.ejor.2020.03.038

Personalized learning is emerging in schools as an alternative to one-size-fits-all education. This study introduces and explores a weekly demand-driven flexible learning activity planning problem of own-pace own-method personalized learning. The int... Read More about A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning.

P4ID: P4 enhanced intrusion detection (2020)
Presentation / Conference Contribution
Lewis, B., Broadbent, M., & Race, N. (2020). P4ID: P4 enhanced intrusion detection. In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (1-4). https://doi.org/10.1109/NFV-SDN47374.2019.9040044

The growth in scale and capacity of networks in recent years leads to challenges of positioning and scalability of Intrusion Detection Systems (IDS). With the flexibility afforded by programmable dataplanes, it is now possible to perform a new level... Read More about P4ID: P4 enhanced intrusion detection.

Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot (2020)
Journal Article
Huda, M. N., Liu, P., Saha, C., & Yu, H. (2020). Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot. Journal of Intelligent and Robotic Systems, 100, 753–764. https://doi.org/10.1007/s10846-020-01167-3

This paper presents a miniature hybrid capsule robot for minimally invasive in-vivo interventions such as capsule endoscopy within the GI (gastrointestinal) tract. It proposes new modes of operation for the hybrid robot namely hybrid mode and anchori... Read More about Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot.

Overcome the Limitations of Performance Parameters of On-Chip Antennas Based on Metasurface and Coupled Feeding Approaches for Applications in System-on-Chip for THz Integrated-Circuits (2020)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., Hwang See, C., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2019, December). Overcome the Limitations of Performance Parameters of On-Chip Antennas Based on Metasurface and Coupled Feeding Approaches for Applications in System-on-Chip for THz Integrated-Circuits. Presented at 2019 IEEE Asia-Pacific Microwave Conference (APMC), Singapore

This paper proposes a new solution to improve the performance parameters of on-chip antenna designs on standard CMOS silicon technology. The proposed method is based on applying the metasurface technique and exciting the radiating elements through co... Read More about Overcome the Limitations of Performance Parameters of On-Chip Antennas Based on Metasurface and Coupled Feeding Approaches for Applications in System-on-Chip for THz Integrated-Circuits.

Automated Reconfigurable Antenna Impedance for Optimum Power Transfer (2020)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., Hwang See, C., Abd-Alhameed, R. A., Falcone, F., & Limiti, E. (2020). Automated Reconfigurable Antenna Impedance for Optimum Power Transfer. . https://doi.org/10.1109/APMC46564.2019.9038260

This paper presents an approach to implement an automatically tuning antenna for optimising power transfer suitable for software defined radio (SDR). The automatic tunability of the frequency selective antenna is achieved by a closed-loop automatic a... Read More about Automated Reconfigurable Antenna Impedance for Optimum Power Transfer.

A Novel 0.3-0.31 THz GaAs-Based Transceiver with On-Chip Slotted Metamaterial Antenna Based on SIW Technology (2020)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., Hwang See, C., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2019, December). A Novel 0.3-0.31 THz GaAs-Based Transceiver with On-Chip Slotted Metamaterial Antenna Based on SIW Technology. Presented at 2019 IEEE Asia-Pacific Microwave Conference (APMC), Singapore

This paper presents a novel on-chip antenna with fully integrated 0.3-0.31 THz transceiver implemented on 0.5μm GaAs substrate. The transceiver consists of a voltage-controlled oscillator (VCO), a buffer, a modulator, a power amplifier, a frequency t... Read More about A Novel 0.3-0.31 THz GaAs-Based Transceiver with On-Chip Slotted Metamaterial Antenna Based on SIW Technology.

Improved Particle Swarm Optimization for Sea Surface Temperature Prediction (2020)
Journal Article
He, Q., Zha, C., Song, W., Hao, Z., Du, Y., Liotta, A., & Perra, C. (2020). Improved Particle Swarm Optimization for Sea Surface Temperature Prediction. Energies, 13(6), Article 1369. https://doi.org/10.3390/en13061369

The Sea Surface Temperature (SST) is one of the key factors affecting ocean climate change. Hence, Sea Surface Temperature Prediction (SSTP) is of great significance to the study of navigation and meteorology. However, SST data is well-known to suffe... Read More about Improved Particle Swarm Optimization for Sea Surface Temperature Prediction.

Detecting critical responses from deliberate self-harm videos on YouTube (2020)
Presentation / Conference Contribution
Alhassan, M. A., & Pennington, D. (2020, March). Detecting critical responses from deliberate self-harm videos on YouTube. Presented at CHIIR '20: Conference on Human Information Interaction and Retrieval, Vancouver BC, Canada

YouTube is one of the leading social media platforms and online spaces for people who self-harm to search and view deliberate self-harm videos, share their experience and seek help via comments. These comments may contain information that signals a c... Read More about Detecting critical responses from deliberate self-harm videos on YouTube.

Novel deep neural network based pattern field classification architectures (2020)
Journal Article
Huang, K., Zhang, S., Zhang, R., & Hussain, A. (2020). Novel deep neural network based pattern field classification architectures. Neural Networks, 127, 82-95. https://doi.org/10.1016/j.neunet.2020.03.011

Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c... Read More about Novel deep neural network based pattern field classification architectures.

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges (2020)
Journal Article
Zhao, L., Al-Dubai, A., Zomaya, A. Y., Min, G., Hawbani, A., & Li, J. (2021). Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges. IEEE Intelligent Transportation Systems Magazine, 13(4), 217-226. https://doi.org/10.1109/MITS.2019.2953557

Software-defined vehicular networks (SDVN) is a promising technology to overcome the limitations of current vehicular networking. However, existing vehicular routing schemes are not equipped to handle communication in SDVNs. In addition, routing sche... Read More about Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges.