Computer Science and Engineering

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A Sound and Complete Algorithm to Identify Independent Variables in a Reactive System Specification

Conference paper

Oca, Josu, Hermo, Montserrat and Bolotov, Alexander 2024. A Sound and Complete Algorithm to Identify Independent Variables in a Reactive System Specification. 2024 Design, Automation & Test in Europe Conference & Exhibition. Valencia, Spain 25 - 27 Mar 2024 IEEE . pp. 1-2 https://doi.org/10.23919/date58400.2024.10546630

Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods

PhD thesis

Ibrahim, Ahmed 2024. Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/wvx46

Artificial intelligence for deconstruction: Current state, challenges, and opportunities

Journal article

Balogun, H., Alaka, H., Demir, E., Egwim, C.N, Olu-Ajayi, R., Sulaimon, I. and Oseghale, R. 2024. Artificial intelligence for deconstruction: Current state, challenges, and opportunities. Automation in Construction. 166 105641. https://doi.org/10.1016/j.autcon.2024.105641

Critical factors for assessing building deconstructability: Exploratory and confirmatory factor analysis

Journal article

Habeeb Balogun, Hafiz Alaka, Saheed Ajayi and Christian Nnaemeka Egwim 2024. Critical factors for assessing building deconstructability: Exploratory and confirmatory factor analysis. Cleaner Engineering and Technology. 21 100790. https://doi.org/10.1016/j.clet.2024.100790

Enhanced Retention of Historical Information with Empathetic Pedagogical Conversational Agents (PCAs)

Conference paper

Doumanis, I. and Economou, D. 2024. Enhanced Retention of Historical Information with Empathetic Pedagogical Conversational Agents (PCAs). International Conference on Intelligent Tutoring Systems (ITS2024). Thessaloniki, Greece 10 - 13 Jun 2024 Springer Nature. https://doi.org/10.1007/978-3-031-73990-3_6

Fuzzy Fractional Brownian Motion: Review and Extension

Journal article

Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms. 17 (7) 289. https://doi.org/10.3390/a17070289

On OWA, Machine Learning and Big Data: The case for IFS over universes

Journal article

Panagiotis Chountas, Mustafa Hajmohammed and Ismael Rhemat 2024. On OWA, Machine Learning and Big Data: The case for IFS over universes. Notes on Intuitionistic Fuzzy Sets. 30 (2), pp. 113-120. https://doi.org/10.7546/nifs.2024.30.2.113-120

Hybrid Algorithm using Rivest-Shamir-Adleman and Elliptic Curve Cryptography for Secure Email Communication

Journal article

Assa-Agyei, Kwame, Kayode Owa, Al-Hadhrami, Tawfik and Olajide, Funminiyi 2024. Hybrid Algorithm using Rivest-Shamir-Adleman and Elliptic Curve Cryptography for Secure Email Communication. International Journal of Advanced Computer Science & Applications . 15 (4), pp. 1037-1047. https://doi.org/10.14569/ijacsa.2024.01504105

From Data Quality to Predictive Big Data Quality

Conference paper

Rhemat, I., Chountas, P. and Roubert, F. 2024. From Data Quality to Predictive Big Data Quality. 12th IEEE International Conference on Intelligent Systems - IS'24. Varna, Bulgaria 31 Jul - 29 Aug 2024 IEEE .

Nonlinear Distortion Analysis in Wireless Cellular 5G IoT Systems

Conference paper

Kasule, M. and Budimir, D. 2024. Nonlinear Distortion Analysis in Wireless Cellular 5G IoT Systems. Mediterranean Conference on Embedded Computing (MECO’2024) & International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT’2024). Budva, Montenegro. 11 - 14 Jun 2024 IEEE . https://doi.org/10.1109/meco62516.2024.10577835

IoT Motion Detection Sensors for Monitoring in a Smart Campus

Conference paper

Ucar, C., Maloku, M., Yugay, O. and Budimir, D. 2024. IoT Motion Detection Sensors for Monitoring in a Smart Campus. 14th Mediterranean Conference on Embedded Computing (MECO’2025) & International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT’2025). Budva, Montenegro 10 - 13 Jun 2025 IEEE . https://doi.org/10.1109/meco62516.2024.10577922

IoT Based Monitoring of University Classrooms

Conference paper

Maloku, M., Yugay, O. and Budimir, D. 2024. IoT Based Monitoring of University Classrooms. 20th Annual International Conference on Information Technology & Computer Science. Athens, Greece 20 - 23 May 2024

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.

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

Journal article

Sinada, F., Reni, S. and Kale, I. 2024. A Study on Image Enhancement and Noise Filtering of Kato-Katz Images. Lecture Notes in Networks and Systems. 1000, pp. 277-290. https://doi.org/10.1007/978-981-97-3289-0_23

Machine Learning for Monitoring Vocal Health and Performance of Professional Singers

Conference paper

Jones, Samuel P., Kareem Reni, Saumya and Kale, Izzet 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 . https://doi.org/10.1109/iscas58744.2024.10557944

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, Fodio S., Balogun, Habeeb, Ojulari, Rasheed O., Olatomiwa, Olaniyi J., Balarabe, Husaini J., Edeh, Ifeanyichukwu S. and Joshua, Olabisi 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). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/icprs62101.2024.10677822

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

Business Process Data Oriented Quality: the case of Mellitah Oil & Gas

Conference paper

Rhemat, I., Chountas, P. and Roubert, F. 2024. Business Process Data Oriented Quality: the case of Mellitah Oil & Gas. 5th International Conference on Data Analytics & Management (ICDAM-2024). London Metropolitan University, London, UK 14 - 15 Jun 2024 Springer.

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 a Combined CNN-Clustering Algorithms Approach

Conference paper

Mohammad Harris, Anastasia Angelopoulou, Hongwei Wu and Wenbin Zhang 2024. Comparative Analysis of Micro/Minichannel Flow Boiling Pattern Recognition and Classification using a Combined CNN-Clustering Algorithms Approach. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/ICPRS62101.2024.10677840

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

Conference paper

Nazyrova, Nodira, Chahed, Salma, Chausalet, Thierry and Dwek, Miriam 2024. Leveraging large language models for medical text classification: a hospital readmission prediction case. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/icprs62101.2024.10677826

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. https://doi.org/10.1007/978-3-031-64529-7_21

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 Coll, E., 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. 19, p. 1003–1012. 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. 29, pp. 17665-17670. 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

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. https://doi.org/10.1142/S2810939224400021

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


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