Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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Intelligence and consciousness in natural and artificial systems
Gamez, D. 2023. Intelligence and consciousness in natural and artificial systems. in: Chella, A. (ed.) Computational Approaches to Conscious Artificial Intelligence World Scientific Publishing Co. Pte Ltd.Book chapter
Consciousness technology in Black Mirror. Do cookies feel pain?
Gamez, D. and Johnson, D. 2020. Consciousness technology in Black Mirror. Do cookies feel pain? in: Johnson, D. (ed.) Black Mirror and Philosophy WileyBlackwell. pp. 273-281Book chapter
Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application
Fatima, S., Augusto, J., Moseley, R., Urbonas, P., Elliott, A. and Payne, N. 2023. Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application. Entertainment Computing. 46. https://doi.org/10.1016/j.entcom.2023.100571Article
Effects of camera position on perception of self in 360 degree video and virtual environments
Philpot, A. 2017. Effects of camera position on perception of self in 360 degree video and virtual environments. TVX '17: ACM International Conference on Interactive Experiences for TV and Online Video. Hilversum, The Netherlands 14 - 16 Jun 2017 Association for Computing Machinery (ACM). pp. 87-97 https://doi.org/10.1145/3084289.3084290Conference item
IHWC: intelligent hidden web crawler for harvesting data in urban domains
Kaur, S., Singh, A., Geetha, G. and Cheng, X. 2021. IHWC: intelligent hidden web crawler for harvesting data in urban domains. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-022-00839-xArticle
Provectories: embedding-based analysis of interaction provenance data
Walchshofer, C., Hinterreiter, A., Xu, K., Stitz, H. and Streit, M. 2023. Provectories: embedding-based analysis of interaction provenance data. IEEE Transactions on Visualization and Computer Graphics. 29 (12), pp. 4816-4831. https://doi.org/10.1109/tvcg.2021.3135697Article
Improvement of process and outcomes through a STEEPLED analysis of system failures
Siakas, D., Lampropoulos, G., Rahanu, H., Siakas, K., Georgiadou, E. and Ross, M. 2023. Improvement of process and outcomes through a STEEPLED analysis of system failures. Yilmaz, M., Clarke, P., Riel, A. and Messnarz, R. (ed.) EuroSPI 2023: European Conference on Software Process Improvement. Grenoble, France 30 Aug - 01 Sep 2023 Springer. pp. 193–206 https://doi.org/10.1007/978-3-031-42310-9_14Conference paper
A tamper-resistant broadcasting scheme for secure communication in internet of autonomous vehicles
Sun, J., Tao, J., Zhang, H., Zhao, Y., Nie, L., Cheng, X. and Zhang, T. 2023. A tamper-resistant broadcasting scheme for secure communication in internet of autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems. 25 (3), pp. 2837-2846. https://doi.org/10.1109/TITS.2023.3265403Article
Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices
Bao, Y., Qiu, W. and Cheng, X. 2023. Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices. Expert Systems. 40 (6). https://doi.org/10.1111/exsy.13220Article
A novel framework for melanoma lesion segmentation using multiparallel depthwise separable and dilated convolutions with swish activations
Bukhari, M., Yasmin, S., Habib, A., Cheng, X., Ullah, F., Yoo, J. and Lee, D. 2023. A novel framework for melanoma lesion segmentation using multiparallel depthwise separable and dilated convolutions with swish activations. Journal of Healthcare Engineering. 2023 (1). https://doi.org/10.1155/2023/1847115Article
Fake news stance detection using selective features and FakeNET
Aljrees, T., Cheng, X., Ahmed, M., Umer, M., Majeed, R., Alnowaiser, K., Abuzinadah, N. and Ashraf, I. 2023. Fake news stance detection using selective features and FakeNET. PLoS ONE. 18 (7). https://doi.org/10.1371/journal.pone.0287298Article
PIGNUS: a deep learning model for IDS in industrial internet-of-things
Jayalaxmi, P., Saha, R., Kumar, G., Alazab, M., Conti, M. and Cheng, X. 2023. PIGNUS: a deep learning model for IDS in industrial internet-of-things. Computers and Security. 132. https://doi.org/10.1016/j.cose.2023.103315Article
Introducing a conceptual model for electronic customer relationship management readiness in the banking sector
Tahmasebi Aria, F. and Dafoulas, G. 2023. Introducing a conceptual model for electronic customer relationship management readiness in the banking sector. International Journal of Business and Technology Management. 5 (2), pp. 127-136. https://doi.org/10.55057/ijbtm.2023.5.2.12Article
Exploring factors affecting mobile government services adoption in the Egyptian context
Elbatanouny, S., Dafoulas, G. and Saleeb, N. 2023. Exploring factors affecting mobile government services adoption in the Egyptian context. Journal of Theoretical and Applied Electronic Commerce Research. 18 (4), pp. 1820-1837. https://doi.org/10.3390/jtaer18040092Article
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. Quantum Machine Intelligence. 5 (2). https://doi.org/10.1007/s42484-023-00126-zArticle
Hybrid educational environments – using IoT to detect emotion changes during student interactions
Nalli, G., Dafoulas, G., Tsiakara, A., Langari, B., Mistry, K. and Tahmasebi Aria, F. 2023. Hybrid educational environments – using IoT to detect emotion changes during student interactions. Interaction Design and Architecture(s). 58 (1), pp. 39-52. https://doi.org/10.55612/s-5002-058-001Article
Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine
Afzal, M., Ali, K., Kasi, M., Rehman, M., Khoshkholghi, A., Haq, B. and Shah, S. 2023. Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2018-2023 https://doi.org/10.1109/TrustCom60117.2023.00277Conference paper
MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images. https://doi.org/10.48550/arxiv.2302.12653Pre-print
Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction
Zhang, X., Cui, G., Ruan, X., Chen, Q., Cui, D., Gao, X. and Yao, Y. 2023. Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction. 8th International Conference on Computational Intelligence and Applications. Haikou, China 23 - 25 Jun 2023 IEEE. https://doi.org/10.1109/iccia59741.2023.00029Conference paper
Explainable AI for colorectal lesion classification using deep learning models with attention mechanism
Auzine, M., Heenaye-Mamode Khan, M., Baichoo, S., Bissoonauth-Daiboo, P., Heetun, Z. and Gao, X. 2023. Explainable AI for colorectal lesion classification using deep learning models with attention mechanism. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 117–121 https://doi.org/10.1145/3633598.3633617Conference paper
Endoscopic image classification using vision transformers
Bissoonauth-Daiboo, P., Heenaye-Mamode Khan, M., Auzine, M., Gao, X., Baichoo, S. and Heetun, Z. 2023. Endoscopic image classification using vision transformers. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 128–132 https://doi.org/10.1145/3633598.3633623Conference paper
Classification of gastrointestinal cancer through explainable AI and ensemble learning
Auzine, M., Khan, M., Baichoo, S., Sahib, N., Gao, X. and Bissoonauth-Daiboo, P. 2023. Classification of gastrointestinal cancer through explainable AI and ensemble learning. 6th International Conference of Women in Data Science at Prince Sultan University. Riyadh, Saudi Arabia 14 - 15 Mar 2023 IEEE. pp. 195-200 https://doi.org/10.1109/wids-psu57071.2023.00048Conference paper
Interactive machine learning framework for predicting non-performing bank loans
Azeta, A., Nwaocha, V., Shofadekan, S., Tjiraso, S. and Oluwagbemi, O. 2023. Interactive machine learning framework for predicting non-performing bank loans. 2nd International Conference on Information Systems and Emerging Technologies. Namibia University of Science and Technology 17 - 19 Oct 2023 SSRN. https://doi.org/10.2139/ssrn.4647744Conference paper
Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
Fortuna, C., Yetgin, H. and Mohorčič, M. 2023. Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation. IEEE Industrial Electronics Magazine. 17 (2), pp. 37-47. https://doi.org/10.1109/MIE.2022.3165673Article
HANNA: Human-friendly provisioning and configuration of smart devices
Fortuna, C., Yetgin, H., Ogrizek, L., Municio, E., Marquez-Barja, J.M. and Mohorcic, M. 2023. HANNA: Human-friendly provisioning and configuration of smart devices. Engineering Applications of Artificial Intelligence. 126 (Part A). https://doi.org/10.1016/j.engappai.2023.106745Article
Joint energy and spectral optimization in Heterogeneous Vehicular Network
Alam, A., Ali, K., Trestian, R., Shah, P. and Mapp, G. 2023. Joint energy and spectral optimization in Heterogeneous Vehicular Network. Computer Networks. 238. https://doi.org/10.1016/j.comnet.2023.110111Article
Artificial intelligence and automation in endoscopy and surgery
Chadebecq, F., Lovat, L. and Stoyanov, D. 2023. Artificial intelligence and automation in endoscopy and surgery. Nature Reviews Gastroenterology and Hepatology. 20 (3), pp. 171-182. https://doi.org/10.1038/s41575-022-00701-yArticle
Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology
Ahmad, O., Mazomenos, E., Chadebecq, F., Kader, R., Hussein, M., Haidry, R., Puyal, J., Brandao, P., Toth, D. and Mountney, P. 2023. Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology. Journal of Gastroenterology and Hepatology. 38 (5), pp. 768-774. https://doi.org/10.1111/jgh.16127Article
Explanation of student attendance AI prediction with the Isabelle Infrastructure Framework
Kammueller, F. and Satija, D. 2023. Explanation of student attendance AI prediction with the Isabelle Infrastructure Framework. Information. 14 (8). https://doi.org/10.3390/info14080453Article
Knowledge management for the micro enterprise: a taxonomy
Hall, S., Smith, S., Baskent, C. and De Raffaele, C. 2023. Knowledge management for the micro enterprise: a taxonomy. Matos, F. and Rosa, A. (ed.) 24th European Conference on Knowledge Management. Lisboa, Portugal 07 - 08 Sep 2023 Academic Conferences International. https://doi.org/10.34190/eckm.24.1.1268Conference paper
A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory
Al-Nader, I., Lasebae, A., Raheem, R. and Khoshkholghi, A. 2023. A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory. Electronics. 12 (23). https://doi.org/10.3390/electronics12234766Article
Online tutoring system for programming courses to improve exam pass rate
Nalli, G., Culmone, R., Perali, A. and Amendola, D. 2023. Online tutoring system for programming courses to improve exam pass rate. Journal of E-Learning and Knowledge Society. 19 (1), pp. 27-35. https://doi.org/10.20368/1971-8829/1135704Article
Machine Learning model for student drop-out prediction based on student engagement
Brezočnik, L., Nalli, G., De Leone, R., Val, S., Podgorelec, V. and Karakatič, S. 2023. Machine Learning model for student drop-out prediction based on student engagement. Karabegovic, I., Kovačević, A. and Mandzuka, S. (ed.) 9th International Conference on New Technologies, Development and Application. Sarajevo, Bosnia and Herzegovina 22 - 24 Jun 2023 Cham Springer. pp. 486–496 https://doi.org/10.1007/978-3-031-31066-9_54Conference paper
Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI
Nalli, G. and Smith, S. 2023. Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI. 4th International Electronic Conference on Applied Sciences. Online 27 Oct - 10 Nov 2023 MDPI AG. https://doi.org/10.3390/ASEC2023-16273Conference paper
Machine-learning-based software to group heterogeneous students for online peer assessment activities
Amendola, D., Nalli, G. and Miceli, C. 2023. Machine-learning-based software to group heterogeneous students for online peer assessment activities. Fulantelli, G., Burgos, D., Casalino, G., Cimitile, M., Lo Bosco, G. and Taibi, D. (ed.) 4th International Conference on Higher Education Learning Methodologies and Technologies Online. Palermo, Italy 21 - 23 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-29800-4_2Conference paper
Bridging neuroscience and robotics: spiking neural networks in action
Jones, A., Gandhi, V., Mahiddine, A. and Huyck, C. 2023. Bridging neuroscience and robotics: spiking neural networks in action. Sensors. 23 (21), pp. 1-14. https://doi.org/10.3390/s23218880Article
Building an intelligent edge environment to provide essential services in smart cities
Karthick, G., Mapp, G. and Crowcroft, J. 2023. Building an intelligent edge environment to provide essential services in smart cities. 18th Workshop on Mobility in the Evolving Internet Architecture . Madrid, Spain 06 - 06 Oct 2023 New York, NY, United States Association for Computing Machinery (ACM). pp. 13-18 https://doi.org/10.1145/3615587.3615987Conference paper
Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10)
Dada, E., Oyewola, D., Joseph, S., Emebo, O. and Oluwagbemi, O. 2023. Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10). Applied Computational Intelligence and Soft Computing. 2023. https://doi.org/10.1155/2023/2457898Article
Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK
Ueno, A., Dennis, C. and Dafoulas, G. 2023. Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK. Technological Forecasting and Social Change. 197. https://doi.org/10.1016/j.techfore.2023.122935Article
Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. 2023. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221Conference paper
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