All Outputs (1481)

A Trimodel SAR Semisupervised Recognition Method Based on Attention-Augmented Convolutional Networks (2022)
Journal Article
Yan, S., Zhang, Y., Gao, F., Sun, J., Hussain, A., & Zhou, H. (2022). A Trimodel SAR Semisupervised Recognition Method Based on Attention-Augmented Convolutional Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1

Semisupervised learning in synthetic aperture radars (SARs) is one of the research hotspots in the field of radar image automatic target recognition. It can efficiently deal with challenging environments where there are insufficient labeled samples a... Read More about A Trimodel SAR Semisupervised Recognition Method Based on Attention-Augmented Convolutional Networks.

A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods (2022)
Journal Article
Bouida, L., Rafatullah, M., Kerrouche, A., Qutob, M., Alosaimi, A. M., Alorfi, H. S., & Hussein, M. A. (2022). A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods. Water, 14(21), Article 3432. https

Cadmium and lead soil contamination is a widespread environmental problem that requires profound and sustainable solutions. These toxic elements can be naturally occurring on the Earth’s crust or from man-made origins. Cadmium and lead could accumula... Read More about A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods.

High Gain/Bandwidth Off-Chip Antenna Loaded with Metamaterial Unit-Cell Impedance Matching Circuit for Sub-Terahertz Near-Field Electronic Systems (2022)
Journal Article
Alibakhshikenari, M., Virdee, B. S., Mariyanayagam, D., Vadalà, V., Naser-Moghadasi, M., See, C. H., … Limiti, E. (2022). High Gain/Bandwidth Off-Chip Antenna Loaded with Metamaterial Unit-Cell Impedance Matching Circuit for Sub-Terahertz Near-Field El

An innovative off-chip antenna (OCA) is presented that exhibits high gain and efficiency performance at the terahertz (THz) band and has a wide operational bandwidth. The proposed OCA is implemented on stacked silicon layers and consists of an open c... Read More about High Gain/Bandwidth Off-Chip Antenna Loaded with Metamaterial Unit-Cell Impedance Matching Circuit for Sub-Terahertz Near-Field Electronic Systems.

Design of a Tri-Band Wearable Antenna for Millimeter-Wave 5G Applications (2022)
Journal Article
Ahmad, S., Boubakar, H., Naseer, S., Alim, M. E., Sheikh, Y. A., Ghaffar, A., …Parchin, N. O. (2022). Design of a Tri-Band Wearable Antenna for Millimeter-Wave 5G Applications. Sensors, 22(20), Article 8012. https://doi.org/10.3390/s22208012

A printed monopole antenna for millimeter-wave applications in the 5G frequency region is described in this research. As a result, the proposed antenna resonates in three frequency bands that are designated for 5G communication systems, including 28... Read More about Design of a Tri-Band Wearable Antenna for Millimeter-Wave 5G Applications.

Combining Security and Reliability of Critical Infrastructures: The Concept of Securability (2022)
Journal Article
Maglaras, L., Janicke, H., & Ferrag, M. A. (2022). Combining Security and Reliability of Critical Infrastructures: The Concept of Securability. Applied Sciences, 12(20), Article 10387. https://doi.org/10.3390/app122010387

Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers (2022)
Journal Article
Gu, X., Li, M., Shen, L., Tang, G., Ni, Q., Peng, T., & Shen, Q. (2023). Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers. IEEE Transactions on Fuzzy Systems, 31(5), 1703-1715. https://doi.org/10.1109/tfuzz.2022.3214241

Evolving intelligent systems (EISs), particularly, the zero-order ones have demonstrated strong performance on many real-world problems concerning data stream classification, while offering high model transparency and interpretability thanks to their... Read More about Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers.

A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications (2022)
Journal Article
Kiani, S. H., Marey, M., Rafique, U., Shah, S. I. H., Bashir, M. A., Mostafa, H., …Parchin, N. O. (2022). A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications. Micromachines, 13(10), Article 1735. https://doi.org/10.3390/mi13

In this work, a low-cost, deployable, integratable, and easy-to-fabricate multiple-input multiple-output (MIMO) Kirigami antenna is proposed for sub-6 GHz applications. The proposed MIMO antenna is inspired by Kirigami art, which consists of four rad... Read More about A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications.

A brain atlas of synapse protein lifetime across the mouse lifespan (2022)
Journal Article
Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., …Grant, S. G. (2022). A brain atlas of synapse protein lifetime across the mouse lifespan. Neuron, 110(24), 4057-4073. https://doi.org/10.1016/j.neuron.2022.09.009

The lifetime of proteins in synapses is important for their signaling, maintenance, and remodeling, and for memory duration. We quantified the lifetime of endogenous PSD95, an abundant postsynaptic protein in excitatory synapses, at single-synapse re... Read More about A brain atlas of synapse protein lifetime across the mouse lifespan.

Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer (2022)
Journal Article
Bagadi, K., Ravikumar, C., Sathish, K., Alibakhshikenari, M., Virdee, B. S., Kouhalvandi, L., Olan-Nuñez, . K. N., Pau, G., See, C. H., Dayoub, I., Livreri, . P., Aïssa, S., Falcone, F., & Limiti, E. (2022). Detection of Signals in MC–CDMA Using a No

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral e... Read More about Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer.

Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses (2022)
Journal Article
Gao, H., & Tan, Z. (2022). Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses. Computer Journal, 65(11), 2847-2848. https://doi.org/10.1093/comjnl/bxac128

The prosperity of social IoT data brings revolutionary changes to our daily lives and greatly increases the existing data volume. But IoT data are vulnerable due to security and privacy issues. Over the past few years, malicious adversaries exploited... Read More about Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses.

AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning (2022)
Journal Article
Saeed, U., Abbasi, Q. H., & Shah, S. A. (2022). AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning. CCF Transactions on Pervasive Computing and Interaction, 4(4), 381-392. https://doi.org/10

In less than three years, more than six million fatalities have been reported worldwide due to the coronavirus pandemic. COVID-19 has been contained within a broad range due to restrictions and effective vaccinations. However, there is a greater risk... Read More about AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning.

Investigating Machine Learning Attacks on Financial Time Series Models (2022)
Journal Article
Gallagher, M., Pitropakis, N., Chrysoulas, C., Papadopoulos, P., Mylonas, A., & Katsikas, S. (2022). Investigating Machine Learning Attacks on Financial Time Series Models. Computers and Security, 123, https://doi.org/10.1016/j.cose.2022.102933

Machine learning and Artificial Intelligence (AI) already support human decision-making and complement professional roles, and are expected in the future to be sufficiently trusted to make autonomous decisions. To trust AI systems with such tasks, a... Read More about Investigating Machine Learning Attacks on Financial Time Series Models.

An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites (2022)
Journal Article
Nandhakumar, M., Thangaian, D. T., Sundaram, S., Roy, A., & Subramanian, B. (2022). An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites. Scientific Reports, 12(1), Article 16162. https://doi.org/10.1038/s415

Bioactive glass (BG) is an interesting topic in soft tissue engineering because of its biocompatibility and bonding potential to increase fibroblast cell proliferation, synthesize growth factors, and stimulate granulation tissue development. The prop... Read More about An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites.

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform (2022)
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., …Buchanan, W. J. (2022). Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. ht

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and impro... Read More about Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform.

Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies (2022)
Journal Article
Qureshi, S. A., Abidin, Z. Z., Majid, H. A., Ashyap, A. Y. I., & See, C. H. (2022). Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies. Journal of Electronic Materials, 51, 7028-7036. https://

A new sensing technique for rapidly detecting ethanol concentration in aqueous solutions based on electromagnetic resonance is discussed. The sensor has two substrate layers and operates at 5G-mm-wave frequencies. An experimental study of the new res... Read More about Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies.

Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia (2022)
Journal Article
Wimalaratna, Y. P., Hassan, A., Afrouzi, H. N., Mehranzamir, K., Ahmed, J., Siddique, B. M., & Liew, S. C. (2022). Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia. Cleaner Energy Systems, 3, Ar

The facts are that increasing energy demand, depletion of fossil fuel, and greenhouse gas emissions have increased the world's interest in renewable energy. Out of all RE options, Wave Energy (WE) is the least harnessed one despite the availability o... Read More about Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia.

An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos (2022)
Journal Article
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2022). An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos. Empirical Software Engineering, 27(7), Article 180. https://doi.org/10.1007/s106

Domain-specific languages (DSLs) are a popular approach among software engineers who demand for a tailored development interface. A DSL-based approach allows to encapsulate the intricacies of the target platform in transformations that turn DSL model... Read More about An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos.

Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices (2022)
Journal Article
Ullah, A., Ojaroudi Parchin, N., Amar, A. S. I., & Abd-Alhameed, R. A. (2022). Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices. Electronics, 11(18), Article 2962. https://doi.org/10.3390/electronics11182962

This study aims to introduce a new phased array design with improved radiation properties for future cellular networks. The procedure of the array design is simple and has been accomplished on a low-cost substrate material while offering several inte... Read More about Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices.

DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data (2022)
Journal Article
Saidi, H., Labraoui, N., Ari, A. A. A., Maglaras, L. A., & Emati, J. H. M. (2022). DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data. IEEE Access, 10, 101011-101028. https://doi.org/10.1109/acces

In recent years, the interest in using wireless communication technologies and mobile devices in the healthcare environment has increased. However, despite increased attention to the security of electronic health records, patient privacy is still at... Read More about DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data.

DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm (2022)
Journal Article
Aboud, A., Rokbani, N., Fdhila, R., Qahtani, A. M., Almutiry, O., Dhahri, H., …Alimi, A. M. (2022). DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm. Applied Soft Computing, 129, Article 109622. https://doi.org/

Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective optimization but has not been considered for solving dynamic multi-objective problems (DMOPs). Tracki... Read More about DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm.