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All Outputs (625)

Attributes Guided Feature Learning for Vehicle Re-Identification (2021)
Journal Article
Li, H., Lin, X., Zheng, A., Li, C., Luo, B., He, R., & Hussain, A. (2022). Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1211-1221. https://doi.org/10.1109/tetci

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-cla... Read More about Attributes Guided Feature Learning for Vehicle Re-Identification.

Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by CFRP Tendons (2021)
Journal Article
Deng, Y., Gui, J., Zhang, H., Taliercio, A., Zhang, P., Wong, S. H. F., Sukontasukkul, P., Khan, A., Li, L., Tang, Y., & Chen, X. (2022). Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by

In recent decades, steel-reinforced concrete (SRC) members under eccentrical tension have been adopted more frequently in modern buildings due to the constraints of more complex structural design/detailing that accompanying contemporary architectural... Read More about Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by CFRP Tendons.

A new color image encryption technique using DNA computing and Chaos-based substitution box (2021)
Journal Article
Ahmad, J., Masood, F., Masood, J., Zhang, L., Shaukat Jamal, S., Boulila, W., …Khan, F. A. (2022). A new color image encryption technique using DNA computing and Chaos-based substitution box. Soft Computing, 26(16), 7461-7477. https://doi.org/10.1007/s0

In many cases, images contain sensitive information and patterns that require secure processing to avoid risk. It can be accessed by unauthorized users who can illegally exploit them to threaten the safety of people’s life and property. Protecting th... Read More about A new color image encryption technique using DNA computing and Chaos-based substitution box.

Effects of silica nanoparticles on the rheological properties and morphologies of polyvinyl alcohol/silver nanowire suspensions (2021)
Journal Article
Lee, S. H., Kim, S. Y., Salehiyan, R., & Hyun, K. (2021). Effects of silica nanoparticles on the rheological properties and morphologies of polyvinyl alcohol/silver nanowire suspensions. Korea-Australia rheology journal, 33(4), 321-331. https://doi.org/10

We investigated the effects of silica nanoparticles (SiNPs) on the rheological properties and microstructures of polyvinyl alcohol (PVA)/silver nanowire (AgNW) suspensions. For PVA/AgNW suspensions without SiNPs, rheological percolation threshold was... Read More about Effects of silica nanoparticles on the rheological properties and morphologies of polyvinyl alcohol/silver nanowire suspensions.

A security and authentication layer for SCADA/DCS applications (2021)
Journal Article
Homay, A., Chrysoulas, C., El Boudani, B., de Sousa, M., & Wollschlaeger, M. (2021). A security and authentication layer for SCADA/DCS applications. Microprocessors and Microsystems, 87, Article 103479. https://doi.org/10.1016/j.micpro.2020.103479

Mid 2010, a sophisticated malicious computer worm called Stuxnet targeted major ICS systems around the world causing severe damages to Siemens automation products. Stuxnet proved its ability to infect air-gapped-segregated critical computers control... Read More about A security and authentication layer for SCADA/DCS applications.

Ground view factor computation model for bifacial photovoltaic collector field: uniform and non-uniform surfaces (2021)
Journal Article
Alam, M., Gul, M. S., & Muneer, T. (2021). Ground view factor computation model for bifacial photovoltaic collector field: uniform and non-uniform surfaces. Energy Reports, 7, 9133-9149. https://doi.org/10.1016/j.egyr.2021.11.206

The photovoltaic collectors in a field are subject to three types of solar radiation: direct, diffuse, and reflected irradiance. The reflected irradiance received by solar photovoltaic (PV) depends on the view factor from solar PV to the ground. This... Read More about Ground view factor computation model for bifacial photovoltaic collector field: uniform and non-uniform surfaces.

Finite element and experimental studies on the machining process of polymer/graphene nanoplatelet nanocomposites (2021)
Journal Article
Fu, G., Sun, F., Sun, F., Huo, D., Shyha, I., Fang, C., & Gao, Q. (2022). Finite element and experimental studies on the machining process of polymer/graphene nanoplatelet nanocomposites. Composites Part B: Engineering, 230, Article 109545. https://doi.or

Polymer matrix composites reinforced with graphene derivatives are receiving increasing attention in academia and industry. For future applications, however, the machinability of these materials needs to be understood. This study introduces the cutti... Read More about Finite element and experimental studies on the machining process of polymer/graphene nanoplatelet nanocomposites.

What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think (2021)
Presentation / Conference Contribution
Howcroft, D. M., & Rieser, V. (2021). What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Proces

Previous work has shown that human evaluations in NLP are notoriously under-powered. Here, we argue that there are two common factors which make this problem even worse: NLP studies usually (a) treat ordinal data as interval data and (b) operate unde... Read More about What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think.

A blend of Traditional Visual Symbols in BIPV application; any Prospects? (2021)
Journal Article
Awuku, S. A., Bennadji, A., Muhammad-Sukki, F., & Sellami, N. (2021). A blend of Traditional Visual Symbols in BIPV application; any Prospects?. Academia Letters, https://doi.org/10.20935/AL4029

Traditional Visual symbols are of great relevance, especially within the architectural space. Buildings may adopt symbols to depict culture, iconicity or identity. The quest to meet sustainable building targets and avert the looming effects of climat... Read More about A blend of Traditional Visual Symbols in BIPV application; any Prospects?.

CAPE: Context-Aware Private Embeddings for Private Language Learning (2021)
Presentation / Conference Contribution
Plant, R., Gkatzia, D., & Giuffrida, V. (2021). CAPE: Context-Aware Private Embeddings for Private Language Learning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (7970-7978)

Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. However, obtaining text representations or embeddings using these models risks... Read More about CAPE: Context-Aware Private Embeddings for Private Language Learning.

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data (2021)
Journal Article
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021). A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), Article 6. https://doi.org/10.4018/joeuc.20211101.oa6

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing dat... Read More about A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data.

Measurement and validation of polysilicon photovoltaic module degradation rates over five years of field exposure in Oman (2021)
Journal Article
Shaik, H. M., Kabbani, A., Sheikh, A. M., Goh, K., Gupta, N., & Umar, T. (2021). Measurement and validation of polysilicon photovoltaic module degradation rates over five years of field exposure in Oman. AIMS Energy, 9(6), 1192-1212. https://doi.org/10.39

Degradation of PV modules have a severe impact on its power-producing capabilities thus affecting the reliability, performance over the long run. To understand the PV degradation happening under the influence of local environmental conditions a surve... Read More about Measurement and validation of polysilicon photovoltaic module degradation rates over five years of field exposure in Oman.

Disembodied Voice (2021)
Exhibition / Performance
Di Donato, B. (2021). Disembodied Voice. [Music Performance]. Performed at Naples (Italy). 27 November 2021 - 27 November 2021. (Unpublished)

Disembodied Voice, for live electronics and voice, uses of electroacoustic technologies to disembody the voice from its singer. The singer will articulate and conduct her voice across the audience through the embodiment of sound manipulations. The... Read More about Disembodied Voice.

Life-cycle sustainability risk management a multi-stakeholder approach: the case of Damascus post-war residential projects (2021)
Journal Article
Khaddour, L. A. (2022). Life-cycle sustainability risk management a multi-stakeholder approach: the case of Damascus post-war residential projects. Environment, Development and Sustainability, 24(11), 12756-12786. https://doi.org/10.1007/s10668-021-01963-

Postwar Residential Reconstruction Projects (PRRP) are widely complex and have significant risks. It is necessary to address sustainability risks in PRRP in order to respond to the war disastrous consequences. Thus, reducing sustainability risks asso... Read More about Life-cycle sustainability risk management a multi-stakeholder approach: the case of Damascus post-war residential projects.

Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis (2021)
Journal Article
Dashtipour, K., Gogate, M., Gelbukh, A., & Hussain, A. (2022). Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis. Social Network Analysis and Mining, 12(1), Article 9. https://doi.org/10.1007/s13278-021-00840-1

Nowadays, it is important for buyers to know other customer opinions to make informed decisions on buying a product or service. In addition, companies and organizations can exploit customer opinions to improve their products and services. However, th... Read More about Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis.

Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network (2021)
Journal Article
Latif, S., Huma, Z. E., Jamal, S. S., Ahmed, F., Ahmad, J., Zahid, A., …Abbasi, Q. H. (2022). Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network. IEEE Transactions on Industrial Informatics, 18(9), 6435-6444. ht

The Internet of Things (IoT) devices, networks, and applications have become an integral part of modern societies. Despite their social, economic, and industrial benefits, these devices and networks are frequently targeted by cybercriminals. Hence, I... Read More about Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network.

A VMD and LSTM based hybrid model of load forecasting for power grid security (2021)
Journal Article
Lv, L., Wu, Z., Zhang, J., Tan, Z., Zhang, L., & Tian, Z. (2022). A VMD and LSTM based hybrid model of load forecasting for power grid security. IEEE Transactions on Industrial Informatics, 18(9), 6474-6482. https://doi.org/10.1109/tii.2021.3130237

As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy of supply-demand balance. However, various factors lead to drastic changes... Read More about A VMD and LSTM based hybrid model of load forecasting for power grid security.

Time-Series in Hyper-parameter Initialization of Machine Learning Techniques (2021)
Presentation / Conference Contribution
Horváth, T., Mantovani, R. G., & de Carvalho, A. C. P. L. F. (2021, November). Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. Presented at 22nd International Conference on Intelligent Data Engineering and Automated Learning

Initializing the hyper-parameters (HPs) of machine learning (ML) techniques became an important step in the area of automated ML (AutoML). The main premise in HP initialization is that a HP setting that performs well for a certain dataset(s) will als... Read More about Time-Series in Hyper-parameter Initialization of Machine Learning Techniques.

Linear Concept Approximation for Multilingual Document Recommendation (2021)
Book Chapter
Salamon, V. T., Tashu, T. M., & Horváth, T. (2021). Linear Concept Approximation for Multilingual Document Recommendation. . Springer. https://doi.org/10.1007/978-3-030-91608-4_15

In this paper, we proposed Linear Concept Approximation, a novel multilingual document representation approach for the task of multilingual document representation and recommendation. The main idea is in creating representations by using mappings to... Read More about Linear Concept Approximation for Multilingual Document Recommendation.