Computer Science

Title	Computer Science
Alternative	S&T - CS
Faculty	Faculty of Science and Technology

Latest research outputs

Sort by Date Title

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/10.1155/2023/1847115

Article

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.0287298

Article

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.2023.103315

Article

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.2023.5.2.12

Article

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/jtaer18040092

Article

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-z

Article

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-5002-058-001

Article

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/TrustCom60117.2023.00277

Conference 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.2302.12653

Pre-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/iccia59741.2023.00029

Conference 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/10.1145/3633598.3633623

Conference 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.4647744

Conference 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.2022.3165673

Article

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.2023.106745

Article

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.2023.110111

Article

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-y

Article

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.16127

Article

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/info14080453

Article

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.24.1.1268

Conference 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/electronics12234766

Article

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/10.20368/1971-8829/1135704

Article

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_54

Conference 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/ASEC2023-16273

Conference 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_2

Conference 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/s23218880

Article

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/10.1145/3615587.3615987

Conference 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/10.1155/2023/2457898

Article

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.2023.122935

Article

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. 2216-2221

Conference paper

A topological features based quantum kernel

Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel. 7th International Conference on Quantum Techniques in Machine Learning. CERN, Geneva 19 - 24 Nov 2023

Conference item

MesoGraph: automatic profiling of 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 mesothelioma subtypes from histological images. Cell Reports Medicine. 4 (10). https://doi.org/10.1016/j.xcrm.2023.101226

Article

Interpretable chronic kidney disease risk prediction from clinical data using machine learning

Chennareddy, V., Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Interpretable chronic kidney disease risk prediction from clinical data using machine learning. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_63

Conference paper

Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings

Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. (ed.) 2023. Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings. Springer.

Conference Proceedings

Addressing challenges in healthcare big data analytics

Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Addressing challenges in healthcare big data analytics. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_70

Conference paper

Review of parameter tuning methods for nature-inspired algorithms

Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47

Book chapter

Using Hidden Markov Chain for improving the dependability of safety-critical WSNs

Al-Nader, I., Lasebae, A. and Raheem, R. 2023. Using Hidden Markov Chain for improving the dependability of safety-critical WSNs. Barolli, L. (ed.) 37th International Conference on Advanced Information Networking and Applications. Federal University of Juiz de Fora, Brazil 29 - 31 Mar 2023 Cham, Switzerland. Springer. pp. 460–472 https://doi.org/10.1007/978-3-031-29056-5_40

Conference paper

Visual attribution using Adversarial Latent Transformations

Zia, T., Wahab, A., Windridge, D., Tirunagari, S. and Bhatti, N. 2023. Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. https://doi.org/10.1016/j.compbiomed.2023.107521

Article

Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain

Edris, E., Aiash, M., Khoshkholghi, A., Naha, R., Chowdhury, A. and Loo, J. 2023. Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. https://doi.org/10.1016/j.iot.2023.100913

Article

Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures

Towakel, P., Windridge, D. and Nguyen, H. 2023. Deep combination of radar with optical data for gesture recognition: role of attention in fusion architectures. IEEE Transactions on Instrumentation and Measurement. 72, pp. 1-15. https://doi.org/10.1109/TIM.2023.3307768

Article

Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data

Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artificial Intelligence in Medicine. 143. https://doi.org/10.1016/j.artmed.2023.102628

Article

« Previous