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Preprint: Fuzzy Fractional Brownian Motion: Review and Extension

Other

Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Preprint: Fuzzy Fractional Brownian Motion: Review and Extension. Preprints.org. https://doi.org/10.20944/preprints202405.2078.v1

Defining Art Styles in Games and Their Influence on Creative Expression

Journal article

Hemraj, S. 2024. Defining Art Styles in Games and Their Influence on Creative Expression. Press Start. 10 (1), pp. 69-95.

Machine Learning for Monitoring Vocal Health and Performance of Professional Singers

Conference paper

Reni, S., Jones, S. and Kale, I. 2024. Machine Learning for Monitoring Vocal Health and Performance of Professional Singers. 2024 IEEE International Symposium on Circuits and Systems. Singapore 19 - 22 May 2024 IEEE .

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Journal article

Christian Nnaemeka Egwim,, Hafiz Alaka,, Eren Demir, Habbeb Balogun, Razak Olu-Ajayi, Ismail Sulaimon, Godoyon Wusu, Wasiu Yusuf and Adegoke A. Muideen 2024. Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle. Energies. 17 (1) 182. https://doi.org/10.3390/en17010182

Exploratory Analysis of Machine Learning Methods for Total Organic Carbon Prediction Using Well-Log Data of Kolmani Field

Conference paper

Longman, F.S., Balogun, H., Ojulari, R.O., Balarabe, H.J., Olatomiwa, O.J., Edeh, I.S. and Joshua, O.O. 2024. Exploratory Analysis of Machine Learning Methods for Total Organic Carbon Prediction Using Well-Log Data of Kolmani Field. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). Cavendish Street Campus, University of Westminster, Central London 15 - 18 Jul 2024 IEEE .

Editorial: Immersive media in connected health—volume II

Edited issue

Antoniou, P.E., Economou, D., Athanasiou, A. and Tsoulfas, G. 2024. Editorial: Immersive media in connected health—volume II. Frontiers in Digital Health. 6 1425769. https://doi.org/10.3389/fdgth.2024.1425769

Applications Model: A High-Level Design Model for Rich Web-Based Applications

Conference paper

Dissanayake, Nalaka and Bolotov, Alexander 2024. Applications Model: A High-Level Design Model for Rich Web-Based Applications. 19th International Conference on Evaluation of Novel Approaches to Software Engineering. Angers, France 28 - 29 Apr 2024 SCITEPRESS – Science and Technology Publications. https://doi.org/10.5220/0012605600003687

Comparative Analysis of Micro/Minichannel Flow Boiling Pattern Recognition and Classification using Clustering Algorithms

Conference paper

Mohammad Harris, Angelopoulou, A., Hongwei Wu and Wenbin Zhang 2024. Comparative Analysis of Micro/Minichannel Flow Boiling Pattern Recognition and Classification using Clustering Algorithms. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). Cavendish Street Campus, University of Westminster, Central London 15 - 18 Jul 2024 IEEE .

Leveraging large language models for medical text classification: a hospital readmission prediction case

Conference paper

Nazyrova, N., Chahed, S., Chaussalet, T. and Dwek, M. 2024. Leveraging large language models for medical text classification: a hospital readmission prediction case. The IEEE 14th International Conference on Pattern Recognition Systems. London, United Kingdom 15 - 18 Jul 2024 IEEE .

Heat Transfer Optimisation using Novel Biomorphic Pin-Fin Heat Sinks: An Integrated Approach via Design for Manufacturing, Numerical Simulation, and Machine Learning

Journal article

Mohammad Harris, Hongwei Wu, Angelopoulou, A., Wenbin Zhang, Zhuohuan Hu and Yongqi Xie 2024. Heat Transfer Optimisation using Novel Biomorphic Pin-Fin Heat Sinks: An Integrated Approach via Design for Manufacturing, Numerical Simulation, and Machine Learning. Thermal Science and Engineering Progress. 51 102606. https://doi.org/10.1016/j.tsep.2024.102606

Machine learning for number theory: unsupervised learning with L-functions

Conference paper

Oliver, T. 2024. Machine learning for number theory: unsupervised learning with L-functions. 8th International Congress on Mathematical Software (ICMS2024). Durham University 22 - 25 Jul 2024 Springer.

Digital Forensics Challenges in Cyberspace: Overcoming Legitimacy and Privacy Issues Through Modularisation

Journal article

Ashawa, M., Mansour, A., Riley, J., Osamor, J. and Owoh, N.P. 2024. Digital Forensics Challenges in Cyberspace: Overcoming Legitimacy and Privacy Issues Through Modularisation. Cloud Computing and Data Science. 5 (1), pp. 140-156. https://doi.org/10.37256/ccds.512024

An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing

Journal article

Nsikak Owoh, Jackie Riley, Moses Ashawa, Salaheddin Hosseinzadeh, Anand Philip and Jude Osamor 2024. An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing. Sensors. 24 (7) 2353. https://doi.org/10.3390/s24072353

Active learning using adaptable task-based prioritisation

Journal article

Shaheer U. Saeed, João Ramalhinho, Mark Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña-Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian Davidson, Matthew J. Clarkson and Yipeng Hu 2024. Active learning using adaptable task-based prioritisation. Medical Image Analysis. 95 103181. https://doi.org/10.1016/j.media.2024.103181

An Exploration of shared code execution for malware analysis

Conference paper

Moses Ashawa, Nsikak Pius Owoh, Jackie Riley, Jude Osamor and Salaheddin Hosseinzadeh 2024. An Exploration of shared code execution for malware analysis. 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). Victoria, Seychelles 01 - 02 Feb 2024 IEEE . https://doi.org/10.1109/acdsa59508.2024.10467679

The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy.

Journal article

Gayo, I., Saeed, Shaheer U, Bonmati, Ester, Barratt, Dean C, Clarkson, Matthew J and Hu, Yipeng 2024. The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy. International Journal of Computer Assisted Radiology and Surgery. Advanced online publication. https://doi.org/10.1007/s11548-024-03084-4

Guest editorial: Special issue on “disruption, innovation and resiliency in immersive learning”

Edited issue

Peña-Rios, A., Economou, D. and Beck, D. 2024. Guest editorial: Special issue on “disruption, innovation and resiliency in immersive learning”. Education and Information Technologies. Advanced online publication. https://doi.org/10.1007/s10639-024-12551-z

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study

Journal article

Dianati-Nasab, Mostafa, Salimifard, Khodakaram, Mohammadi, Reza, Saadatmand, Sara, Fararouei, Mohammad, Hosseini, Kosar S., Jiavid-Sharifi, Behshid, Chaussalet, Thierry and Dehdar, Samira 2024. Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study. Frontiers in Oncology. 13 1276232. https://doi.org/10.3389/fonc.2023.1276232

CrimOPS: Exploring students’ experiences in using virtual simulation for authentic learning and assessment in criminal psychology

Journal article

Gerard, F.J., Ammerer, K., Mentzelopoulos, M. and Economou, D. 2024. CrimOPS: Exploring students’ experiences in using virtual simulation for authentic learning and assessment in criminal psychology. Journal of Criminal Justice Education. Advanced online publication. https://doi.org/10.1080/10511253.2024.2324179

Hybrid homomorphic encryption: the future of privacy-preserving data analytics and machine learning in sleep medicine? (HARPOCRATES)

Article

Salanitro, M., Penzel, T., Rosenblum, L., Bowden, J., Krefting, D., Leppänen, T., Michalas, A. and Kiss, T. 2024. Hybrid homomorphic encryption: the future of privacy-preserving data analytics and machine learning in sleep medicine? (HARPOCRATES). Sleep Medicine. 115 (Supplement 1), pp. 107-108. https://doi.org/10.1016/j.sleep.2023.11.322

Microservices and serverless functions – lifecycle, performance, and resource utilisation of edge based real-time IoT analytics

Journal article

Francesco Tusa, Stuart Clayman, Alina Buzachis and Maria Fazio 2024. Microservices and serverless functions – lifecycle, performance, and resource utilisation of edge based real-time IoT analytics. Future Generation Computer Systems. 155, pp. 204-218. https://doi.org/10.1016/j.future.2024.02.006

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum

Conference paper

Kiss, T., Ullah, A., Terstyanszky, G., Kao, O., Becker, S., Verginadis, Y., Michalas, A., Stankovski, V., Kertesz, A., Ricci, E, Altmann, J., Egger, B., Tusa, F., Kovacs, J. and Lovas, R. 2024. Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. AINA 2024 - 38th International Conference on Advanced Information Networking and Applications. Kitakyushu International Convention Center, Kitakyushu, Japan 17 - 19 Apr 2024 Springer. https://doi.org/10.1007/978-3-031-57931-8_9

Preprint: Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach

Other

Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh 2024. Preprint: Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. Preprints.org. https://doi.org/10.20944/preprints202312.1007.v1

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach

Journal article

Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh 2024. Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. Big Data and Cognitive Computing. 8 (1) 6. https://doi.org/10.3390/bdcc8010006

PCA, arithmetic, and murmurations

Conference paper

Oliver, T. 2024. PCA, arithmetic, and murmurations. Murmurations in Arithmetic. ICERM (Brown University) 06 - 08 Jul 2023 World Scientific Publishing.

Positional Health Assessment of Collaborative Robots Based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network

Book chapter

Hasan, N., Webb, L., Kaniappan Chinnathai, M., Hossain, M.A-A., Ozkat, E.C., Tokhi, M.O. and Alkan, B. 2024. Positional Health Assessment of Collaborative Robots Based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network. in: El Youssef, E.S., Tokhi, M.O., Silva, M.F. and Rincon, L.M. (ed.) Synergetic Cooperation between Robots and Humans: Proceedings of the CLAWAR 2023 Conference - Volume 2 Springer. pp. 323-335

Intelligent Machines, Collectives, and Moral Responsibility

Journal article

Courtenage, S. 2024. Intelligent Machines, Collectives, and Moral Responsibility. AI and Ethics. 4, pp. 485-498. https://doi.org//10.1007/s43681-023-00285-6

A Study on Image Enhancement and Noise Filtering of Kato-katz Images

Journal article

Sinada, F., Reni, S. and Kale, I. Forthcoming. A Study on Image Enhancement and Noise Filtering of Kato-katz Images. Lecture Notes in Networks and Systems.

Digital Health Evidence Generation Ontology Prototype

Other (Non-text)

Bolotov, A. 2023. Digital Health Evidence Generation Ontology Prototype.

Amplifier Linearization by using Parallel Coupled Stepped-Impedance Resonator Filter in the Linearization Circuit

Article

Đorić, Aleksandra B., Atanasković, Aleksandar S., Ilić, Nataša P. Maleš, Stošić, Biljana P. and Budimir, Djuradj S. 2023. Amplifier Linearization by using Parallel Coupled Stepped-Impedance Resonator Filter in the Linearization Circuit. 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). https://doi.org/10.1109/icest58410.2023.10187396

Extraction of underlying factors causing construction projects delay in Nigeria

Journal article

Egwim, C.N., Alaka, H., Toriola-Coker, L.O., Balogun, H., Ajayi, S. and Oseghale, R. 2023. Extraction of underlying factors causing construction projects delay in Nigeria. Journal of Engineering, Design and Technology. 21 (5), pp. 1323-1342. https://doi.org/10.1108/jedt-04-2021-0211

Systematic review of drivers influencing building deconstructability: Towards a construct-based conceptual framework

Journal article

Balogun, H., Alaka, H., Egwim, C.N. and Ajayi, S. 2023. Systematic review of drivers influencing building deconstructability: Towards a construct-based conceptual framework. Waste Management and Research. 41 (3), pp. 512-530. https://doi.org/10.1177/0734242x221124078

Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors

Journal article

Christian Nnaemeka Egwim, Hafiz Alaka, Youlu Pan, Balogun, H., Saheed Ajayi, Abdul Hye and Oluwapelumi Oluwaseun Egunjobi 2023. Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors. Journal of Engineering, Design and Technology. Advanced online publication. https://doi.org/10.1108/JEDT-07-2022-0379

Building energy performance prediction: A reliability analysis and evaluation of feature selection methods

Journal article

Olu-Ajayi, R., Alaka, H., Sulaimon, I., Balogun, H., Wusu, G., Yusuf, W. and Adegoke, M. 2023. Building energy performance prediction: A reliability analysis and evaluation of feature selection methods. Expert Systems with Applications. 225 120109. https://doi.org/10.1016/j.eswa.2023.120109

Technical Considerations for Designing and Implementing Immersive Learning Applications

Workshop item

Economou, D., Peña-Rios, A., Mentzelopoulos, M., Martinez-mukimov, T. and Ferguson, J. 2023. Technical Considerations for Designing and Implementing Immersive Learning Applications. 9th International Conference of the Immersive Learning Research Network. California Polytechnic State University, San Luis Obispo, CA, USA 26 Jun 2023 - 29 May 2024 Immersive Learning Research Network. https://doi.org/10.56198/ITIG2DTW5

A Constellation of Potential: Tapping into the iLRN Community to Connect and Collaborate

Workshop item

O'Shea, P., Mentzelopoulos, M. and Scapin, T. 2023. A Constellation of Potential: Tapping into the iLRN Community to Connect and Collaborate. 9th International Conference of the Immersive Learning Research Network. California Polytechnic State University, San Luis Obispo, CA, USA 26 Jun 2023 - 29 May 2024 Immersive Learning Research Network. https://doi.org/10.56198/ITIG26WA2

Vehicular Propagation Velocity Forecasting Using Open CV

Conference paper

Udayan Das, Vandana Sharma, Madhabananda Das, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Vehicular Propagation Velocity Forecasting Using Open CV. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449587

Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob

Conference paper

Nehal, Divyank Jeet, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449540

Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation

Conference paper

Raman Thakur, Dayal Rohan Volety, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449653

Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics

Conference paper

Ashis Pattanaik, Vandana Sharma, Kanhaiya Kunj, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449578


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