All Outputs (400)

Understanding the semi-switchable thermochromic behavior of mixed halide hybrid perovskite nanorods (2021)
Journal Article
Roy, A., Ullah, H., Ghosh, A., Baig, H., Sundaram, S., Tahir, A. A., & Mallick, T. K. (2021). Understanding the semi-switchable thermochromic behavior of mixed halide hybrid perovskite nanorods. Journal of Physical Chemistry C, 125(32), 18058-18070. https://doi.org/10.1021/acs.jpcc.1c05487

Intelligent regulation of solar irradiation and modulation of a window’s thermo-optical properties can be achieved using thermochromic (TC) coatings. In this work, the semi-switchable TC property of a mixed halide hybrid perovskite, CH3NH3PbI3–xBrx,... Read More about Understanding the semi-switchable thermochromic behavior of mixed halide hybrid perovskite nanorods.

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model (2021)
Journal Article
Nazir, T., Nawaz, M., Rashid, J., Mahum, R., Masood, M., Mehmood, A., Ali, F., Kim, J., Kwon, H., & Hussain, A. (2021). Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model. Sensors, 21(16), Article 5283. https://doi.org/10.3390/s21165283

Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula, which causes fluid accumulation in the macula. Efficient screening systems... Read More about Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model.

Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings (2021)
Journal Article
Najeh, T., Lundberg, J., & Kerrouche, A. (2021). Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings. Sensors, 21(15), Article 5217. https://doi.org/10.3390/s21155217

The switch and crossing (S&C) is one of the most important parts of the railway infrastructure network due to its significant influence on traffic delays and maintenance costs. Two central questions were investigated in this paper: (I) the first ques... Read More about Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings.

Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification (2021)
Journal Article
Aroyehun, S. T., Angel, J., Majumder, N., Gelbukh, A., & Hussain, A. (2021). Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification. Neurocomputing, 464, 421-431. https://doi.org/10.1016/j.neucom.2021.07.057

When labels are organized into a meaningful taxonomy, the parent-child relationship between labels at different levels can give the classifier additional information not deducible from the data alone, especially with limited training data. As a case... Read More about Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification.

Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V (2021)
Journal Article
Gariani, S., Elsayed, M., & Shyha, I. (2021). Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V. International Journal of Advanced Manufacturing Technology, 117, 539-553. https://doi.org/10.1007/s00170-021-07623-0

The paper details experimental and optimisation results for the effect of cutting fluid concentration and operating parameters on the average surface roughness (Ra) and tool flank wear (VB) when flooded turning of Ti-6Al-4V using water-miscible veget... Read More about Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V.

Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions (2021)
Journal Article
Latif, S., Idrees, Z., e Huma, Z., & Ahmad, J. (2021). Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions. Transactions on Emerging Telecommunications Technologies, 32(11), Article e4337. https://doi.org/10.1002/ett.4337

The blockchain has emerged as an innovative and powerful technology that shows the tremendous potential to enhance the smart industrial frameworks by providing encryption, immutable storage, and decentralization. In the past few years, several applic... Read More about Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions.

Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks (2021)
Journal Article
Al-Yasir, Y. I. A., Abdulkhaleq, A. M., Parchin, N. O., Elfergani, I. T., Rodriguez, J., Noras, J. M., Abd-Alhameed, R. A., Rayit, A., & Qahwaji, R. (2022). Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks. IEEE Transactions on Green Communications and Networking, 6(1), 500-511. https://doi.org/10.1109/tgcn.2021.3100399

The paper presents the general requirements and an exemplary design of the RF front-end system that in today’s handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating... Read More about Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks.

Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks (2021)
Journal Article
Usman Yaseen, M., Anjum, A., Fortino, G., Liotta, A., & Hussain, A. (2022). Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. Pattern Recognition, 121, Article 108207. https://doi.org/10.1016/j.patcog.2021.108207

Object recognition from live video streams comes with numerous challenges such as the variation in illumination conditions and poses. Convolutional neural networks (CNNs) have been widely used to perform intelligent visual object recognition. Yet, CN... Read More about Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks.

Multicast DIS attack mitigation in RPL-based IoT-LLNs (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Multicast DIS attack mitigation in RPL-based IoT-LLNs. Journal of Information Security and Applications, 61, Article 102939. https://doi.org/10.1016/j.jisa.2021.102939

The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) was standardised by the IETF ROLL Working Group to address the routing issues in the Internet of Things (IoT) Low-Power and Lossy Networks (LLNs). RPL builds and maintains a Destination... Read More about Multicast DIS attack mitigation in RPL-based IoT-LLNs.

Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers (2021)
Journal Article
Binetti, L., & Alwis, L. S. M. (2021). Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers. IEEE Sensors Journal, 21(18), 20092-20098. https://doi.org/10.1109/jsen.2021.3100644

A novel technique was designed to measure the meniscus height (MH) of liquids on a standard single mode fiber (SMF) using fiber optics. Once the MH is known, the contact angle could be calculated, and the surface tension of liquids can be determined.... Read More about Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers.

Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare (2021)
Journal Article
Barati, M., Aujla, G. S., Llanos, J. T., Duodu, K. A., Rana, O. F., Carr, M., & Rajan, R. (2022). Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare. IEEE Transactions on Industrial Informatics, 18(7), 4808-4819. https://doi.org/10.1109/tii.2021.3100152

Emerging multi-tenant cloud computing ecosystems allow multiple applications to share virtualised pool of computing and networking resources. As a result such ecosystems are becoming increasingly prone to data privacy concerns (personal data leakages... Read More about Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare.

Applicability of the Torsion Test and Photogrammetric Approach on Structural Timber Beams (2021)
Journal Article
Mohamed, A., Uheida, K., Quan, Y., & Zhang, H. (2021). Applicability of the Torsion Test and Photogrammetric Approach on Structural Timber Beams. International Wood Products Journal, 12(3), 206-217. https://doi.org/10.1080/20426445.2021.1952047

The torsion test is recommended as a standard approach to determine the shear modulus of structural-size timber and glulam beams. However, there is a difficulty in measuring the rotational deformations of timber joists. A stereo camera system and pho... Read More about Applicability of the Torsion Test and Photogrammetric Approach on Structural Timber Beams.

A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images (2021)
Journal Article
Fang, Z., Ren, J., MacLellan, C., Li, H., Zhao, H., Hussain, A., & Fortino, G. (2022). A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 8(1), 17-27. https://doi.org/10.1109/TMBMC.2021.3099367

To suppress the spread of COVID-19, accurate diagnosis at an early stage is crucial, chest screening with radiography imaging plays an important role in addition to the real-time reverse transcriptase polymerase chain reaction (RT-PCR) swab test. Due... Read More about A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.

Still looking for new ways to play and learn… Expert perspectives and expectations for interactive toys (2021)
Journal Article
Hall, L., Paracha, S., Flint, T., MacFarlane, K., Stewart, F., Hagan-Green, G., & Watson, D. (2022). Still looking for new ways to play and learn… Expert perspectives and expectations for interactive toys. International Journal of Child-Computer Interaction, 31, Article 100361. https://doi.org/10.1016/j.ijcci.2021.100361

The use of interactive, smart and connected toys is expected to increase rapidly with many claiming not only new ways to play, but also to have educational benefits. However, there is a lack of evidence to support such claims and the purpose of the c... Read More about Still looking for new ways to play and learn… Expert perspectives and expectations for interactive toys.

Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review (2021)
Journal Article
Alwis, L. S. M., Bremer, K., & Roth, B. (2021). Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review. Sensors, 21(15), Article 4948. https://doi.org/10.3390/s21154948

The last decade has seen rapid developments in the areas of carbon fiber technology, additive manufacturing technology, sensor engineering, i.e., wearables, and new structural reinforcement techniques. These developments, although from different area... Read More about Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review.

The Challenges of Sustainable Development on Facilities Management Outsourcing Services: An Investigation in Educational Facilities (2021)
Journal Article
Lok, K. L., Smith, A., Opoku, A., & Chen, C. (2021). The Challenges of Sustainable Development on Facilities Management Outsourcing Services: An Investigation in Educational Facilities. Sustainability, 13(15), Article 8156. https://doi.org/10.3390/su13158156

((1) Background: Generally, firms are reluctant to report outsourcing failures, no matter what industry they operate within. To eliminate poor performance of outsourced service providers, it is necessary to establish a specific outsourcing relationsh... Read More about The Challenges of Sustainable Development on Facilities Management Outsourcing Services: An Investigation in Educational Facilities.

Angular dependencies of soiling loss on photovoltaic performance in Nigeria (2021)
Journal Article
Chanchangi, Y. N., Ghosh, A., Sundaram, S., & Mallick, T. K. (2021). Angular dependencies of soiling loss on photovoltaic performance in Nigeria. Solar Energy, 225, 108-121. https://doi.org/10.1016/j.solener.2021.07.001

Photovoltaic performance is significantly affected by soiling on its covering surface, which is strongly influenced by its tilt angle. This raises concern for the potential investor, policymakers, engineers, and local populace in regions where the so... Read More about Angular dependencies of soiling loss on photovoltaic performance in Nigeria.

A skipping adaptive P&O MPPT for fast and efficient tracking under partial shading in PV arrays (2021)
Journal Article
Ahmed, J., Salam, Z., Kermadi, M., Afrouzi, H. N., & Ashique, R. H. (2021). A skipping adaptive P&O MPPT for fast and efficient tracking under partial shading in PV arrays. International Transactions on Electrical Energy Systems, 31(9), Article e13017. https://doi.org/10.1002/2050-7038.13017

This work presents a new Maximum Power Point Tracking (MPPT) scheme which predicts the local peak positions precisely and tracks the global peak under partial shading effectively. In addition to that, a skipping mechanism is integrated into it, which... Read More about A skipping adaptive P&O MPPT for fast and efficient tracking under partial shading in PV arrays.

Intriguing CeO2–TiO2 hybrid nanostructured photoanode resulting up to 46% efficiency enhancement for dye-sensitized solar cells (2021)
Journal Article
Roy, A., Bhandari, S., Sundaram, S., & Mallick, T. K. (2021). Intriguing CeO2–TiO2 hybrid nanostructured photoanode resulting up to 46% efficiency enhancement for dye-sensitized solar cells. Materials Chemistry and Physics, 272, Article 125036. https://doi.org/10.1016/j.matchemphys.2021.125036

The harvesting of electrical energy from sunrays with low cost, clean form and prosperity is an excellent progression. In this context, significant advancement has been made in the solar energy area in terms of cell's design to enhance efficiency. Li... Read More about Intriguing CeO2–TiO2 hybrid nanostructured photoanode resulting up to 46% efficiency enhancement for dye-sensitized solar cells.

A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration (2021)
Journal Article
Liaqat, S., Dashtipour, K., Zahid, A., Arshad, K., Ullah Jan, S., Assaleh, K., & Ramzan, N. (2021). A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration. Frontiers in Communications and Networks, 2, Article 679502. https://doi.org/10.3389/frcmn.2021.679502

Atrial fibrillation (AF) is one of the most common types of cardiac arrhythmia, with a prevalence of 1–2% in the community, increasing the risk of stroke and myocardial infarction. Early detection of AF, typically causing an irregular and abnormally... Read More about A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration.