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Superpixel based sea ice segmentation with high-resolution optical images: analysis and evaluation. (2022)
Conference Proceeding
CHEN, S., YAN, Y., REN, J., HWANG, B., MARSHALL, S. and DARRANI, T. 2022. Superpixel based sea ice segmentation with high-resolution optical images: analysis and evaluation. In Liang, Q., Wang, W., Liu, X., Na, Z. and Zhang, B. (eds.) Communications, signal processing and systems: proceedings of the 10th International conference on Communications, signal processing and systems 2021 (CSPS 2021), 21-22 August 2021, Baishishan, China. Lecture notes in electrical engineering, 878. Singapore: Springer [online], 1, pages 1004-1012. Available from: https://doi.org/10.1007/978-981-19-0390-8_126

By grouping pixels with visual coherence, superpixel algorithms provide an alternative representation of regular pixel grid for precise and efficient image segmentation. In this paper, a multi-stage model is used for sea ice segmentation from the hig... Read More about Superpixel based sea ice segmentation with high-resolution optical images: analysis and evaluation..

Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward. (2022)
Journal Article
ELYAN, E., VUTTIPITTAYAMONGKOL, P., JOHNSTON, P., MARTIN, K., MCPHERSON, K., MORENO-GARCIA, C.F., JAYNE, C. and SARKER, M.M.K. 2022. Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward. Artificial intelligence surgery [online], 2, pages 24-25. Available from: https://doi.org/10.20517/ais.2021.15

The recent development in the areas of deep learning and deep convolutional neural networks has significantly progressed and advanced the field of computer vision (CV) and image analysis and understanding. Complex tasks such as classifying and segmen... Read More about Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward..

Assessing system of systems information security risk with OASoSIS. (2022)
Journal Article
KI-ARIES, D., FAILY, S., DOGAN, H. and WILLIAMS, C. 2022. Assessing system of systems information security risk with OASoSIS. Computers and security [online], 117, article 102690. Available from: https://doi.org/10.1016/j.cose.2022.102690

The term System of Systems (SoS) is used to describe the coming together of independent systems, collaborating to achieve a new or higher purpose. However, the SoS concept is often misunderstood within operational environments, providing challenges t... Read More about Assessing system of systems information security risk with OASoSIS..

Antimicrobial resistance and machine learning: challenges and opportunities. (2022)
Journal Article
ELYAN, E., HUSSAIN, A., SHEIKH, A., ELMANAMA, A.A., VUTTPITTAYAMONGKOL, P. and HIJAZI, K. 2022. Antimicrobial resistance and machine learning: challenges and opportunities. IEEE access [online], 10, pages 31561-31577. Available from: https://doi.org/10.1109/ACCESS.2022.3160213

Antimicrobial Resistance (AMR) has been identified by the World Health Organisation (WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the world and in particular in Low-to-Middle-Income Countries (LMICs), wher... Read More about Antimicrobial resistance and machine learning: challenges and opportunities..

MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. [Dataset] (2022)
Dataset
LI, M., WANG, Z., REN, J. and SUN, M. 2022. MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. [Dataset]. Hosted on GitHub [online]. Available from: https://github.com/Lm0324/MVVA-Net

Most of the existing video aesthetic quality assessment datasets (as seen in Table 1) are not public, some are not large enough, which makes the trained depth model perform poorly and some are based on the professionalism of video shooting or the rat... Read More about MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. [Dataset].

MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. (2022)
Journal Article
LI, M., WANG, Z., REN, J. and SUN, M. 2022. MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi‑type feature–based strong generalization. Cognitive computation [online], 14(4), pages 1435-1445. Available from: https://doi.org/10.1007/s12559-021-09947-1

With the increasing popularity of short videos on various social media platforms, there is a great challenge for evaluating the aesthetic quality of these videos. In this paper, we first construct a large-scale and properly annotated short video aest... Read More about MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization..

Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. (2022)
Journal Article
YAN, Y., REN, J., ZHAO, H., WINDMILL, J.F.C., IJOMAH, W., DE WIT, J. and VON FREEDEN, J. 2022. Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. IEEE transactions on instrumentation and measurement [online], 71, article 6002213. Available from: https://doi.org/10.1109/TIM.2022.3155745

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully... Read More about Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project..

Using artificial intelligence methods for systematic review in health sciences: a systematic review. (2022)
Journal Article
BLAIZOT, A., VEETTIL, S.K., SAIDOUNG, P., MORENO-GARCIA, C.F., WIRATUNGA, N., ACEVES-MARTINS, M., LAI, N.M. and CHAIYAKUNAPRUK, N. 2022. Using artificial intelligence methods for systematic review in health sciences: a systematic review. Research synthesis methods [online], 13(3), pages 353-362. Available from: https://doi.org/10.1002/jrsm.1553

The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the re... Read More about Using artificial intelligence methods for systematic review in health sciences: a systematic review..

Using artificial intelligence methods for systematic review in health sciences: a systematic review. [Appendices] (2022)
Dataset
BLAIZOT, A., VEETTIL, S.K., SAIDOUNG, P., MORENO-GARCIA, C.F., WIRATUNGA, N., ACEVES-MARTINS, M., LAI, N.M. and CHAIYAKUNAPRUK, N. 2022. Using artificial intelligence methods for systematic review in health sciences: a systematic review. [Appendices]. Research synthesis methods [online], 1393), pages 353-362. Available from: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fjrsm.1553&file=jrsm1553-sup-0001-supinfo.docx

Systematic reviews are fundamental to evidence-based decision making, as they use a comprehensive search and synthesis of the available literature. Such an operation usually requires a team of reviewers to evaluate thousands of articles. With the exp... Read More about Using artificial intelligence methods for systematic review in health sciences: a systematic review. [Appendices].

A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. (2022)
Book Chapter
SIDDIQUI, S., HOSSAIN, E., FERDOUS, R., ARIFEEN, M., RAHMAN, W., MASUM, S., HOPGOOD, A., GOOD, A. and GEGOV, A. 2022. A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. In Howlett, R.J., Jain, L.C., Littlewood, J.R. and Balas, M.M. (eds.) Smart and sustainable technology for resilient cities and communities. Singapore: Springer [online], pages 163-174. Available from: https://doi.org/10.1007/978-981-16-9101-0_12

Background: The rise of COVID-19 has caused immeasurable loss to public health globally. The world has faced a severe shortage of the gold standard testing kit known as reverse transcription-polymerase chain reaction (RT-PCR). The accuracy of RT-PCR... Read More about A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images..

A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design. (2022)
Conference Proceeding
ALKUBAISY, D., PIRAS, L., AL-OBEIDALLAH, M.G., COX, K. and MOURATIDIS, H. 2022. A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design. In Ali, R., Kaindl, H. and Maciaszek, L.A. (eds.). Evaluation of novel approaches to software engineering: revised selected papers from 16th International conference on Evaluation of novel approaches to software engineering 2021 (ENASE 2021), 26-27 April 2021, [virtual conference]. Communications in computer and information science, 1556. Cham: Springer [online], pages 67-87. Available from: https://doi.org/10.1007/978-3-030-96648-5_4

Requirements elicitation, analysis, and, above all, early detection of conflicts and resolution, are among the most important, strategic, complex and crucial activities for preventing software system failures, and reducing costs related to reengineer... Read More about A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design..

Integrated design framework for facilitating systems-theoretic process analysis. (2022)
Conference Proceeding
ALTAF, A., FAILY, S., DOGAN, H., THRON, E. and MYLONAS, A. 2022. Integrated design framework for facilitating systems-theoretic process analysis. In Katsikas, S., Lambrinoudakis, C., Cuppens, N. et al (eds.) Computer security: 26th European symposium on research in computer security (ESORICS 2021) international workshops: selected papers from 7th workshop on the security of industrial control systems of cyber-physical systems (CyberICPS 2021), co-located with SECPRE, ADIoT, SPOSE, CPS4CIP, CDT and SECOMANE, 4-8 October 2021, Darmstadt, Germany. Lecture notes in computer science (LNCS), 13106. Cham: Springer [online], pages 58-73. Available from: https://doi.org/10.1007/978-3-030-95484-0_4

Systems-Theoretic Process Analysis (STPA) helps mitigate identified safety hazards leading to unfortunate situations. Usually, a systematic step-by-step approach is followed by safety experts irrespective of any software based tool-support, but ident... Read More about Integrated design framework for facilitating systems-theoretic process analysis..

PS-net: progressive selection network for salient object detection. (2022)
Journal Article
REN, J., WANG, Z. and REN, J. 2022. PS-net: progressive selection network for salient object detection. Cognitive computation [online], 14(2), pages 794-804. Available from: https://doi.org/10.1007/s12559-021-09952-4

Low-level features contain abundant details and high-level features have rich semantic information. Integrating multi-scale features in an appropriate way is significant for salient object detection. However, direct concatenation or addition taken by... Read More about PS-net: progressive selection network for salient object detection..

Psychosocial impact of 8 weeks COVID-19 quarantine on Italian parents and their children. (2022)
Journal Article
KHOORY, B.J., KEUNING, M.W., FLEDDERUS, A.C., CICCHELLI, R., FANOS, V., KHOORY, J., NERVI, D., ELYAN, E., VUTTIPITTAYAMONGKOL, P., OOMEN, M.W.N., PAJKRT, P. and ABU HILAL, M. 2022. Psychosocial impact of 8 weeks COVID-19 quarantine on Italian parents and their children. Maternal and child health journal [online], 26(6), pages 1312-1321. Available from: https://doi.org/10.1007/s10995-021-03311-3

Objectives: Italy was affected greatly by Coronavirus disease 2019 (COVID-19), emerging mainly in the Italian province of Lombardy. This outbreak led to profound governmental interventions along with a strict quarantine. This quarantine may have psyc... Read More about Psychosocial impact of 8 weeks COVID-19 quarantine on Italian parents and their children..

Cybersecurity user requirements analysis: the ECHO approach. (2022)
Conference Proceeding
KATOS, V., KI-ARIES, D., FAILY, S., GENCHEV, A., BOZHILOVA, M. and STOIANOV, N. 2022. Cybersecurity user requirements analysis: the ECHO approach. In: Shkarlet, S., Morozov, A., Palagin, A., Vinnikov, D., Stoianov, N., Zhelezniak, M. and Kazymyr, V. (eds.) Mathematical modeling and simulation of systems: selected papers from the proceedings of the 16th International scientific-practical conference on mathematical modeling and simulation of systems (MODS 2021), 28 June - 1 July 2021, Chernihiv, Ukraine. Lecture notes in networks and systems, 344. Cham: Springer [online], pages 405-421. Available from: https://link.springer.com/book/9783030899011

Cyber defense requires research and investment in advanced technological solution as well as in the development of effective methods and tools for identifying cyber threats and risks. This implies a need for a well-defined process for user requiremen... Read More about Cybersecurity user requirements analysis: the ECHO approach..