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All Outputs (155)

ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks (2024)
Journal Article
Momand, A., Jan, S. U., & Ramzan, N. (in press). ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks. Wireless Personal Communications, 136(4), 1981-2003. https://doi.org/10.1007/s11277-024-11260-7

This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On the... Read More about ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks.

Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties (2024)
Journal Article
Sukontasukkul, P., Komkham, S., Jamnam, S., Zhang, H., Fujikake, K., Puttiwongrak, A., & Hansapinyo, C. (2024). Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties. Civil Engineering Journal, 10(3), https://doi.org/10.28991/CEJ-2024-010-03-010

The conventional approach to achieving optimal printability and buildability in 3D printing mortar relies heavily on cement, which is both costly and environmentally detrimental due to substantial carbon emissions from its production. This study aims... Read More about Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties.

Digital Twins: Towards an Overarching Framework for the Built Environment (2024)
Journal Article
Bagireanu, A., Bros-Williamson, J., Duncheva, M., & Currie, J. (2024). Digital Twins: Towards an Overarching Framework for the Built Environment. Architectural and Environmental Engineering, 18(1), 1-11

Digital Twins (DTs) have entered the built environment from more established industries like aviation and manufacturing, although there has never been a common goal for utilising DTs at scale. Their assimilation into the built environment lacked its... Read More about Digital Twins: Towards an Overarching Framework for the Built Environment.

Library catalogue’s search interface: Making the most of subject metadata (2024)
Journal Article
Gnoli, C., Golub, K., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (2024). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization, 51, 169-186. https://doi.org/10.5771/0943-7444-2024-3-169

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation (2024)
Journal Article
Alharigy, L., Alnuaim, H., Moradpoor, N., & Tan, T. (online). Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00607-9

Cyberbullying on social media platforms is pervasive and challenging to detect due to linguistic subtleties and the need for extensive data annotation. We introduce a Deep Contrastive Self-Supervised Learning (DCSSL) model that integrates a Natural L... Read More about Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (in press). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology,

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments (2024)
Journal Article
Mohd Isa, M. A., Azahari, M. F., Rohani, M. N. K. H., Ismail, B., Rosmi, A. S., Jamil, M. K., Mansor, N. S., Mas'ud, A. A., & Muhammad-Sukki, F. (2025). Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 213-226. https://doi.org/10.37934/araset.48.1.213226

This research evaluates the performance of edge-based segmentation methods in analysing two-dimensional (2D) electrical tree images obtained during high-voltage (HV) electrical tree experiments. Non-uniform illumination in 2D optical images poses cha... Read More about Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments.

Solar Window Innovations: Enhancing Building Performance through Advanced Technologies (2024)
Journal Article
Ghamari, M., & Sundaram, S. (2024). Solar Window Innovations: Enhancing Building Performance through Advanced Technologies. Energies, 17(14), Article 3369. https://doi.org/10.3390/en17143369

Building-integrated photovoltaic (BIPV) glazing systems with intelligent window technologies enhance building energy efficiency by generating electricity and managing daylighting. This study explores advanced BIPV glazing, focusing on building-integr... Read More about Solar Window Innovations: Enhancing Building Performance through Advanced Technologies.

Pedagogical approaches in music and audio education for deaf and hard-of-hearing students (2024)
Journal Article
Cheng, L., & McGregor, I. (in press). Pedagogical approaches in music and audio education for deaf and hard-of-hearing students. Organised Sound,

Learning about music, sound, or audio can present significant challenges for individuals who are deaf and hard of hearing (DHH). Given the advancements in technology and the increasing emphasis on equality, diversity and inclusion (EDI) in education,... Read More about Pedagogical approaches in music and audio education for deaf and hard-of-hearing students.

Architecting net zero: from drawings to bytes (2024)
Journal Article
Sajjadian, S. M. (2024). Architecting net zero: from drawings to bytes. Journal of Building Engineering, 95, Article 110094. https://doi.org/10.1016/j.jobe.2024.110094

Every profession across the globe has been affected by computers in the last decades. Most of the day-to-day jobs are about creating and managing data and the processes include inputs, storage, transfer and output. The construction industry is no exc... Read More about Architecting net zero: from drawings to bytes.

A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine (2024)
Journal Article
Tingas, E.-A., Hardalupas, Y., & Taylor, A. M. K. P. (2024). A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine. Journal of Ammonia Energy, 2(1), 42-63. https://doi.org/10.18573/jae.28

We report a computational investigation of a compression ignition (CI) engine (compression ratio: 17.6, displacement volume: 1.3 L) where the main fuel is a homogeneous mixture of ammonia (70-60% vol%) and hydrogen (30-40% vol%), with a global equiva... Read More about A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine.

A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol (2024)
Journal Article
Alahmadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (online). A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/tii.2024.3417308

LoRa networks represent a promising technology for IoT applications due to their long range, low cost, and energy efficiency. However, their ALOHA-based access method and duty cycle restrictions can limit their scalability and reliability in high-den... Read More about A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol.

The mechanism of propagation of NH3/air and NH3/H2/air laminar premixed flame fronts (2024)
Journal Article
Tingas, E.-A., Gkantonas, S., Mastorakos, E., & Goussis, D. (2024). The mechanism of propagation of NH3/air and NH3/H2/air laminar premixed flame fronts. International Journal of Hydrogen Energy, 78, 1004-1015. https://doi.org/10.1016/j.ijhydene.2024.06.289

The mechanism of flame front propagation in NH3/air and NH3/H2/air steady, laminar premixed flames is examined. Since the process is characterised by a state of chemical non-equilibrium, the analysis focuses on the explosive mode that is introduced b... Read More about The mechanism of propagation of NH3/air and NH3/H2/air laminar premixed flame fronts.

Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement (2024)
Journal Article
Wang, H., Wang, X., Lu, C., Yuan, M., Wang, Y., Yu, H., & Li, H. (online). Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement. IEEE Access, https://doi.org/10.1109/access.2024.3422256

Human Activity Recognition (HAR) using wearable sensors, particularly wrist-worn devices, has garnered significant research interest. However, challenges such as sensor displacement and variations in wearing habits can affect the accuracy of HAR syst... Read More about Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement.

Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT) (2024)
Journal Article
Shah, S. M. A. H., Jan, S. U., Khan, M. Q., Rizwan, A., Samee, N. A., & Jamjoom, M. M. (2024). Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT). Pattern Analysis and Applications, 27, Article 76. https://doi.org/10.1007/s10044-024-01297-6

Cognitive disorders affect various cognitive functions that can have a substantial impact on individual’s daily life. Alzheimer’s disease (AD) is one of such well-known cognitive disorders. Early detection and treatment of cognitive diseases using ar... Read More about Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT).

Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors (2024)
Journal Article
Ghamari, M., Karimi, M. S., Lourenço, P. B., & Sousa, H. S. (2024). Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors. International Journal of Engineering: Basics, Applications and Aspects, 37(6), 1136-1145. https://doi.org/10.5829/ije.2024.37.06c.10

This comprehensive study investigates the nuanced impact of flanges, height-to-length aspect ratios, wall thickness, and pre-compression levels on Persian historical masonry walls under uncertainty conditions. Numerical testing of 100 masonry wall sp... Read More about Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors.

Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization (2024)
Journal Article
Zeng, L., Liu, Q., Shen, S., & Liu, X. (2024). Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization. Tsinghua Science and Technology, 29(3), 806 - 817. https://doi.org/10.26599/TST.2023.9010058

Edge computing nodes undertake more and more tasks as business density grows. How to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical challenge. An edge task scheduling approach based on an impr... Read More about Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization.

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion (2024)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (in press). Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Production Research,

This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel time and congestion in labour-intensive manufacturing systems. The system p... Read More about Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion.