All Outputs (369)

DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks (2022)
Journal Article
Çakır, L. V., Huseynov, K., Ak, E., & Canberk, B. (2022). DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e5. https://doi.org/10.4108/eetinis.v9i31.1059

Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power control(TPC). However, to accomplish this, an information-gathering process... Read More about DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

The de-industrialisation discourse and the loss of modern industrial heritage in the Arab world: Jordan as a case study (2022)
Journal Article
Jarrar, N., & Jaradat, S. (2024). The de-industrialisation discourse and the loss of modern industrial heritage in the Arab world: Jordan as a case study. Journal of Cultural Heritage Management and Sustainable Development, 14(4), 581-599. https://doi.org/10.1108/JCHMSD-03-2021-0037

Purpose Industrial heritage is considered an essential part of cultural heritage in the world. This heritage suffers from continued marginalisation in the Arab world, particularly in Jordan, where many industrial heritage sites have not been protect... Read More about The de-industrialisation discourse and the loss of modern industrial heritage in the Arab world: Jordan as a case study.

Transfer Learning for Wireless Networks: A Comprehensive Survey (2022)
Journal Article
Nguyen, C. T., Van Huynh, N., Chu, N. H., Saputra, Y. M., Hoang, D. T., Nguyen, D. N., Pham, Q., Niyato, D., Dutkiewicz, E., & Hwang, W. (2022). Transfer Learning for Wireless Networks: A Comprehensive Survey. Proceedings of the IEEE, 110(8), 1073-1115. https://doi.org/10.1109/jproc.2022.3175942

With outstanding features, machine learning (ML) has become the backbone of numerous applications in wireless networks. However, the conventional ML approaches face many challenges in practical implementation, such as the lack of labeled data, the co... Read More about Transfer Learning for Wireless Networks: A Comprehensive Survey.

Morphology modulated brookite TiO2 and BaSnO3 as alternative electron transport materials for enhanced performance of carbon perovskite solar cells (2022)
Journal Article
Bhandari, S., Roy, A., Mallick, T. K., & Sundaram, S. (2022). Morphology modulated brookite TiO2 and BaSnO3 as alternative electron transport materials for enhanced performance of carbon perovskite solar cells. Chemical Engineering Journal, 446(5), Article 137378. https://doi.org/10.1016/j.cej.2022.137378

Designing alternatives to TiO2 electron-transport layers (ETLs) for facile electron extraction and transport to enhance the efficiency of n-i-p structured carbon perovskite solar cells (CPSC) is still a less explored research interest. In this work,... Read More about Morphology modulated brookite TiO2 and BaSnO3 as alternative electron transport materials for enhanced performance of carbon perovskite solar cells.

High-Qf value and temperature stable Zn2+-Mn4+ cooperated modified cordierite-based microwave and millimeter-wave dielectric ceramics (2022)
Journal Article
Xiu, Z., Mao, M., Lu, Z., Huang, Z., Qi, Z., Bafrooei, H. B., Zhou, T., Wang, D., Lin, H., Taheri-nassaj, E., & Song, K. (2022). High-Qf value and temperature stable Zn2+-Mn4+ cooperated modified cordierite-based microwave and millimeter-wave dielectric ceramics. Journal of the European Ceramic Society, 42(13), 5712-5717. https://doi.org/10.1016/j.jeurceramsoc.2022.05.082

Cordierite-based dielectric ceramics with a lower dielectric constant would have significant application potential as dielectric resonator and filter materials for future ultra-low-latency 5G/6G millimeter-wave and terahertz communication. In this ar... Read More about High-Qf value and temperature stable Zn2+-Mn4+ cooperated modified cordierite-based microwave and millimeter-wave dielectric ceramics.

E-Government Information Search by English-as-a Second Language Speakers: The Effects of Language Proficiency and Document Reading Level   (2022)
Journal Article
Harvey, M., & Brazier, D. (2022). E-Government Information Search by English-as-a Second Language Speakers: The Effects of Language Proficiency and Document Reading Level  . Information Processing and Management, 59(4), Article 102985. https://doi.org/10.1016/j.ipm.2022.102985

A rapid increase in the use of web-based technologies - and corresponding changes in government and local council policies - in recent years, means that many vital services are now provided solely online. While this has many potential benefits, it ca... Read More about E-Government Information Search by English-as-a Second Language Speakers: The Effects of Language Proficiency and Document Reading Level  .

A New Beamforming Approach Using 60 GHz Antenna Arrays for Multi-Beams 5G Applications (2022)
Journal Article
Al-Sadoon, M. A. G., Patwary, M. N., Zahedi, Y., Parchin, N. O., Aldelemy, A., & Abd-Alhameed, R. A. (2022). A New Beamforming Approach Using 60 GHz Antenna Arrays for Multi-Beams 5G Applications. Electronics, 11(11), Article 1739. https://doi.org/10.3390/electronics11111739

Recent studies and research have centred on new solutions in different elements and stages to the increasing energy and data rate demands for the fifth generation and beyond (B5G). Based on a new-efficient digital beamforming approach for 5G wireless... Read More about A New Beamforming Approach Using 60 GHz Antenna Arrays for Multi-Beams 5G Applications.

Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition (2022)
Journal Article
Xu, H., Jin, X., Wang, Q., Hussain, A., & Huang, K. (2022). Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. ACM transactions on multimedia computing communications and applications, 18(2S), Article 119. https://doi.org/10.1145/3538749

Currently, many action recognition methods mostly consider the information from spatial streams. We propose a new perspective inspired by the human visual system to combine both spatial and temporal streams to measure their attention consistency. Spe... Read More about Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition.

Evaluation of the Effect of a Combined Chemical and Thermal Modification of Wood though the Use of Bicine and Tricine (2022)
Journal Article
Jones, D., Kržišnik, D., Hočevar, M., Zagar, A., Humar, M., Popescu, C., Popescu, M., Brischke, C., Nunes, L., Curling, S. F., Ormondroyd, G., & Sandberg, D. (2022). Evaluation of the Effect of a Combined Chemical and Thermal Modification of Wood though the Use of Bicine and Tricine. Forests, 13(6), Article 834. https://doi.org/10.3390/f13060834

The effects of thermal modification of wood have been well established, particularly in terms of reductions in mechanical performance. In recent years, there has been an increase in studies related to the Maillard reaction. More commonly associated w... Read More about Evaluation of the Effect of a Combined Chemical and Thermal Modification of Wood though the Use of Bicine and Tricine.

Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: Observational Study (2022)
Journal Article
Hussain, Z., Sheikh, Z., Tahir, A., Dashtipour, K., Gogate, M., Sheikh, A., & Hussain, A. (2022). Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: Observational Study. JMIR Public Health and Surveillance, 8(5), Article e32543. https://doi.org/10.2196/32543

Background: The roll-out of vaccines for SARS-CoV-2 in the United Kingdom, started in December 2020. Uptake has been high, and there has been a subsequent reduction in infections, hospitalisations and deaths in vaccinated individuals. However, vacci... Read More about Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: Observational Study.

Information overload: a concept analysis (2022)
Journal Article
Belabbes, M. A., Ruthven, I., Moshfeghi, Y., & Pennington, D. (2023). Information overload: a concept analysis. Journal of Documentation, 79(1), 144-159. https://doi.org/10.1108/JD-06-2021-0118

Purpose: With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear unders... Read More about Information overload: a concept analysis.

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions (2022)
Journal Article
Zhou, Y., Huang, K., Cheng, C., Wang, X., Hussain, A., & Liu, X. (2023). Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(2), 565-577. https://doi.org/10.1109/tetci.2022.3171797

The training process for deep learning and pattern recognition normally involves the use of convex and strongly convex optimization algorithms such as AdaBelief and SAdam to handle lots of “uninformative” samples that should be ignored, thus incurrin... Read More about Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions.

Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods (2022)
Journal Article
Forootani, A., Rastegar, M., & Sami, A. (2022). Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods. Electric Power Systems Research, 210, Article 108119. https://doi.org/10.1016/j.epsr.2022.108119

Accurate short-term forecasting of the individual residential load is a challenging task due to the nonlinear behavior of the residential customer. Moreover, there are a large number of features that have impact on the energy consumption of the resid... Read More about Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods.

RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images (2022)
Journal Article
Gao, F., Tu, J., Wang, J., Hussain, A., & Zhou, H. (2022). RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 3992-4003. https://doi.org/10.1109/jstars.2022.3175594

Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing fragmented... Read More about RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images.

Static and Free Vibration Analyses of Single-Walled Carbon Nanotube (SWCNT)-Substrate Medium Systems (2022)
Journal Article
Limkatanyu, S., Sae-Long, W., Sedighi, H. M., Rungamornrat, J., Sukontasukkul, P., Imjai, T., & Zhang, H. (2022). Static and Free Vibration Analyses of Single-Walled Carbon Nanotube (SWCNT)-Substrate Medium Systems. Nanomaterials, 12(10), Article 1740. https://doi.org/10.3390/nano12101740

This paper proposes a novel nanobar-substrate medium model for static and free vibration analyses of single-walled carbon nanotube (SWCNT) systems embedded in the elastic substrate medium. The modified strain-gradient elasticity theory is utilized to... Read More about Static and Free Vibration Analyses of Single-Walled Carbon Nanotube (SWCNT)-Substrate Medium Systems.

A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos (2022)
Journal Article
Kamran, M. I., Khan, M. A., Alsuhibany, S. A., Ghadi, Y. Y., Arshad, Arif, J., & Ahmad, J. (2022). A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos. Computers, Materials & Continua, 73(1), 657-672. https://doi.org/10.32604/cmc.2022.028876

The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th generation (4G) and 5th generation (5G) etc. Researchers have proposed many image... Read More about A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos.

A Secure and Lightweight Chaos Based Image Encryption Scheme (2022)
Journal Article
Ali Khan, F., Ahmed, J., Alqahtani, F., Alsuhibany, S. A., Ahmed, F., & Ahmad, J. (2022). A Secure and Lightweight Chaos Based Image Encryption Scheme. Computers, Materials & Continua, 73(1), 279-294. https://doi.org/10.32604/cmc.2022.028789

In this paper, we present an image encryption scheme based on the multi-stage chaos-based image encryption algorithm. The method works on the principle of confusion and diffusion. The proposed scheme containing both confusion and diffusion modules ar... Read More about A Secure and Lightweight Chaos Based Image Encryption Scheme.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles (2022)
Journal Article
Suarez-Mash, D., Ghani, A., See, C. H., Keates, S., & Yu, H. (2022). Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e2. https://doi.org/10.4108/eetinis.v9i31.985

To make autonomous cars as safe as feasible for all road users, it is essential to interpret as many sources of trustworthy information as possible. There has been substantial research into interpreting objects such as traffic lights and pedestrian i... Read More about Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles.