All Outputs (83)

Analysing the fitness landscape rotation for combinatorial optimisation. (2022)
Conference Proceeding
ALZA, J., BARTLETT, M., CEBERIO, J. and MCCALL, J. 2022. Analysing the fitness landscape rotation for combinatorial optimisation. In Rudolph, G., Kononova, A.V., Aguirre, H., Kerschke, P., Ochoa, G. and Tušar, T. (eds.) Parallel problem solving from nature (PPSN XVII): proceedings of 17th Parallel problem solving from nature international conference 2022 (PPSN 2022), 10-14 September 2022, Dortmund, Germany. Lecture notes in computer science, 13398. Cham: Springer [online], pages 533-547. Available from: https://doi.org/10.1007/978-3-031-14714-2_37

Fitness landscape rotation has been widely used in the field of dynamic combinatorial optimisation to generate test problems with academic purposes. This method changes the mapping between solutions and objective values, but preserves the structure o... Read More about Analysing the fitness landscape rotation for combinatorial optimisation..

How close is too close? Role of feature attributions in discovering counterfactual explanations. (2022)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., NKISI-ORJI, I., PALIHAWADANA, C., CORSAR, D. and MARTIN, K. 2022. How close is too close? Role of feature attributions in discovering counterfactual explanations. In Keane, M.T. and Wiratunga, N. (eds.) Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online], pages 33-47. Available from: https://doi.org/10.1007/978-3-031-14923-8_3

Counterfactual explanations describe how an outcome can be changed to a more desirable one. In XAI, counterfactuals are "actionable" explanations that help users to understand how model decisions can be changed by adapting features of an input. A cas... Read More about How close is too close? Role of feature attributions in discovering counterfactual explanations..

Adapting semantic similarity methods for case-based reasoning in the Cloud. (2022)
Conference Proceeding
NKISI-ORJI, I., PALIHAWADANA, C., WIRATUNGA, N., CORSAR, D. and WIJEKOON, A. 2022. Adapting semantic similarity methods for case-based reasoning in the Cloud. In Keane, M.T. and Wiratunga, N. (eds.) Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online], pages 125-139. Available from: https://doi.org/10.1007/978-3-031-14923-8_9

CLOOD is a cloud-based CBR framework based on a microservices architecture, which facilitates the design and deployment of case-based reasoning applications of various sizes. This paper presents advances to the similarity module of CLOOD through the... Read More about Adapting semantic similarity methods for case-based reasoning in the Cloud..

Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022). (2022)
Conference Proceeding
KEANE, M.T. and WIRATUNGA, N. (eds.) 2022. Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online]. Available from: https://doi.org/10.1007/978-3-031-14923-8

This volume contains the papers presented at the 30th International Conference on Case-Based Reasoning (ICCBR 2022), which was held during September 12–15, 2022, at LORIA in Nancy, France. ICCBR is the premier annual meeting of the Case-Based Reasoni... Read More about Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022)..

MIRATAR: a virtual caregiver for active and healthy ageing. (2022)
Conference Proceeding
SANTOFIMIA, M.J., VILLANUEVA, F.J., DORADO, J., RUBIO, A., FERNÁNDEZ-BERMEJO, J., LLUMIGUANO, H., DEL TORO, X., WIRATUNGA, N. and LOPEZ, J.C. 2022. MIRATAR: a virtual caregiver for active and healthy ageing. In Mazzeo, P.L., Frontoni, E., Sclaroff, S. and Distante, C. (eds.) Image analysis and processing: ICIAP 2022 workshops; revised selected papers from the proceedings of the 21st International conference on image analysis and processing (ICIAP 2022) international workshops, 23-27 May 2022, Lecce, Italy, part I. Lecture notes in computer science, 13373. Cham: Springer [online], pages 49-58. Available from: https://doi.org/10.1007/978-3-031-13321-3_5

Despite the technology advances in the field of virtual assistant and activity monitoring devices, older adults are still reluctant to embrace this technology, specially when it comes to employ it to manage health-related issues. This paper presents... Read More about MIRATAR: a virtual caregiver for active and healthy ageing..

Sentiment analysis of ASOS product reviews using machine learning algorithms by comparing several models. (2022)
Conference Proceeding
SOUNDEARAJAH, S. and ASANKA, P.P.G.D. 2022. Sentiment analysis of ASOS product reviews using machine learning algorithms by comparing several models. In Proceedings of 2022 International research conference on Smart computing and systems engineering (SCSE 2022), 1 September 2022, Colombo, Sri Lanka. Hosted on IEEE [online], pages 143-150. Available from: https://doi.org/10.1109/scse56529.2022.9905147

Digital ratings are crucial in improving international customer communications and impacting consumer purchasing trends. To obtain important data from a massive number of customer reviews, they must be sorted into positive and negative opinions. Sent... Read More about Sentiment analysis of ASOS product reviews using machine learning algorithms by comparing several models..

TransSLC: skin lesion classification in dermatoscopic images using transformers. (2022)
Conference Proceeding
SARKER, M.M.K., MORENO-GARCÍA, C.F., REN, J. and ELYAN, E. 2022. TransSLC: skin lesion classification in dermatoscopic images using transformers. In Yang, G., Aviles-Rivero, A., Roberts, M. and Schönlieb, C.-B. (eds.) Medical image understanding and analysis: proceedings of 26th Medical image understanding and analysis 2022 (MIUA 2022), 27-29 July 2022, Cambridge, UK. Lecture notes in computer sciences, 13413. Cham: Springer [online], pages 651-660. Available from: https://doi.org/10.1007/978-3-031-12053-4_48

Early diagnosis and treatment of skin cancer can reduce patients' fatality rates significantly. In the area of computer-aided diagnosis (CAD), the Convolutional Neural Network (CNN) has been widely used for image classification, segmentation, and rec... Read More about TransSLC: skin lesion classification in dermatoscopic images using transformers..

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. (2022)
Conference Proceeding
DANG, T., LUONG, A.V., LIEW, A.W.C., MCCALL, J. and NGUYEN, T.T. 2022. Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. In 2022 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2022), co-located with 2022 IEEE International joint conferences on neural networks (IJCNN 2022), 2022 IEEE International conference on fuzzy systems (FUZZ-IEEE 2022), 18-23 July 2022, Padua, Italy. Piscataway: IEEE (online), article #1030. Available from: https://doi.org/10.1109/CEC55065.2022.9870389

Deep Neural Networks (DNNs) have created a breakthrough in medical image analysis in recent years. Because clinical applications of automated medical analysis are required to be reliable, robust and accurate, it is necessary to devise effective DNNs... Read More about Ensemble of deep learning models with surrogate-based optimization for medical image segmentation..

Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem. (2022)
Conference Proceeding
OGUNSEMI, A., MCCALL, J., KERN, M., LACROIX, B., CORSAR, D. and OWUSU, G. 2022. Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem. In Fieldsend, J. (ed.) GECCO'22 companion: proceedings of 2022 Genetic and evolutionary computation conference companion, 9-13 July 2022, Boston, USA, [virtual event]. New York: ACM [online], pages 735-738. Available from: https://doi.org/10.1145/3520304.3529033

There is a growing literature spanning several research communities that studies multiple optimisation problems whose solutions interact, thereby leading researchers to consider suitable approaches to joint solution. Real-world problems, like supply... Read More about Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem..

Cost analysis of DCFC fast charging station power rates for workplace charging. (2022)
Conference Proceeding
KUCUKSARI, S. and ERDOGAN, N. 2022. Cost analysis of DCFC fast charging station power rates for workplace charging. In Proceedings of 13th IEEE (Institute of Electrical and Electronics Engineers) PES (Power and Energy Society) Innovative smart grid technologies conference 2022 (ISGT 2022): moving to a 3-D energy landscape: decarbonized, democratized, decentralized, 24-28 April 2022, New Orleans, USA. Piscataway: IEEE [online], article 9817537. Available from: https://doi.org/10.1109/ISGT50606.2022.9817537

DC fast charging (DCFC) station becomes prominent thanks to offering faster charging service. However, they increase the peak demand, hence, the demand charge for industrial and commercial customers increases. This study analyses cost behaviors of va... Read More about Cost analysis of DCFC fast charging station power rates for workplace charging..

COVID-19, students and the new educational landscape. (2022)
Conference Proceeding
SIEGEL, A.A., ZARB, M., ANDERSON, E., CRANE, B., GAO, A., LATULIPE, C., LOVELLETTE, E., MCNEILL, F. and MEHARG, D. 2022. COVID-19, students and the new education landscape. In ITiCSE '22: proceedings of the 27th ACM (Association for Computing Machinery) conference on Innovation and technology in computer science education 2022 (ITiCSE'22), 8-13 July 2022, Dublin, Ireland. New York: ACM [online], pages 574-575. Available from: https://doi.org/10.1145/3502717.3532167

Students have experienced incredible shifts in the in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by waves and stages of the coronavirus pandemic (COVID-19). Initially,... Read More about COVID-19, students and the new educational landscape..

The intersection of evolutionary computation and explainable AI. (2022)
Conference Proceeding
BACARDIT, J., BROWNLEE, A.E.I., CAGNONI, S., IACCA, G., MCCALL, J. and WALKER, D. 2022. The intersection of evolutionary computation and explainable AI. In Fieldsend, J. (ed.) GECCO'22 companion: proceedings of 2022 Genetic and evolutionary computation conference companion, 9-13 July 2022, Boston, USA, [virtual event]. New York: ACM [online], pages 1757-1762. Available from: https://doi.org/10.1145/3520304.3533974

In the past decade, Explainable Artificial Intelligence (XAI) has attracted a great interest in the research community, motivated by the need for explanations in critical AI applications. Some recent advances in XAI are based on Evolutionary Computat... Read More about The intersection of evolutionary computation and explainable AI..

Modeling and data analysis of electric vehicle fleet charging. (2022)
Conference Proceeding
KUCUKSARI, S. and ERDOGAN, N. 2022. Modeling and data analysis of electric vehicle fleet charging. In Proceedings of 2022 IEEE (Institute of Electrical and Electronics Engineers)/AIAA (American Institute of Aeronautics and Astronautics) Transportation electrification conference and Electric aircraft technologies symposium (ITEC+EATS), 15-17 June 2022, Anaheim, USA. Piscataway: IEEE [online], pages 1139-1143. Available from: https://doi.org/10.1109/itec53557.2022.9814047

In the transition to electric fleets around the world, electricity demand from electric vehicle (EV) fleets is expected to become significant in the future. Since fleet cars can display different charging characteristics than individual EVs, analyzin... Read More about Modeling and data analysis of electric vehicle fleet charging..

Using nanoporous core-samples to mimic the effect of petrophysical parameters on natural gas flowrate in an unconventional gas reservoir. (2022)
Conference Proceeding
OGOUN, E., ABUNUMAH, O., AISUENI, F., HOSSAIN, M., GIWA, A. and GOBINA, E. 2022. Using nanoporous core-samples to mimic the effect of petrophysical parameters on natural gas flowrate in an unconventional gas reservoir. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 67-70. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/352.pdf

Natural gas was for quite a long time regarded as an unwanted by-product of oil exploration and production that was mostly flared to the atmosphere. This happened because there was no feasible economic means of bringing it to the market. In this work... Read More about Using nanoporous core-samples to mimic the effect of petrophysical parameters on natural gas flowrate in an unconventional gas reservoir..

Characterization of membranes for advanced direct carbon capture. (2022)
Conference Proceeding
HASHIM, I.A., AISUENI, F., ABUNOMAH, O., OGUNLUDE, P., RAMALAN, M., OGOUN, E. and GOBINA, E. 2022. Characterization of membranes for advanced direct air carbon capture. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 148-151. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/386.pdf

Carbon capture is essential for lowering anthropogenic carbon emissions and, as a result, limiting global warming. Membrane technology has a lot of potential for extremely efficient carbon capture because of its energy-efficient and environmentally f... Read More about Characterization of membranes for advanced direct carbon capture..

Using contact angle measurements for determination of the surface free energy of the ceramic membranes. (2022)
Conference Proceeding
HASHIM, I.A., AISUENI, F., OGUNLUDE, P., RAMALAN, M., OGOUN, E., HUSSAINI, M. and GOBINA, E. 2022. Using contact angle measurements for determination of the surface free energy of the ceramic membranes. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 5-8. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/177.pdf

The surface free energy is one of the factors that characterises the surfaces of materials. The sessile drop method is the most popular method for determining its value. A contact angle between the surface and the edge of liquid droplets is measured... Read More about Using contact angle measurements for determination of the surface free energy of the ceramic membranes..

Reservoir structural strategies on the integrity of gas mobility ratio. (2022)
Conference Proceeding
ABUNUMAH, O., OGUNLUDE, P., GOBINA, E. and GIWA, A. 2022. Reservoir structural strategies on the integrity of gas mobility ratio. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 39-42. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/187.pdf

In this study, four commonly injected EOR gases, CH4, N2, Air, and CO2, have been simultaneously investigated through an experimental method to determine the effect and correlational relevance of 28 structural and 22 fluid quantities to mobility rati... Read More about Reservoir structural strategies on the integrity of gas mobility ratio..

Experimental determination of carbon capture and sequestration response to reservoir quantities. (2022)
Conference Proceeding
ABUNUMAH, O., OGUNLUDE, P., GOBINA, E. and GIWA, A. 2022. Experimental determination of carbon sequestration response to reservoir quantities. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 47-50. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/423.pdf

Reservoir entities can be classified into geological, geometrical and fluidic. To complicate matters, reservoirs are usually set in geological layers, such that each layer interacts with injected and resident fluids differently. Carbon dioxide (CO2)... Read More about Experimental determination of carbon capture and sequestration response to reservoir quantities..

The quantitative effect of flow direction on gas permeation in ceramic membrane. (2022)
Conference Proceeding
RAMALAN, M.M., PRABHU, R., HASHIM, I., OGUNLUDE, P., OGOUN, E., AISUENI, F., ABUNOMAH, O., GIWA, A. and GOBINA, E. 2022. The quantitative effect of flow direction on gas permeation in ceramic membrane. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 55-58. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/358.pdf

The effect of flow direction in radial porous ceramic membrane has been extensively studied. Understanding fluid flow through membrane has offered utility to a number of industrial processes such as gas separation, catalytic reactions, enhanced oil r... Read More about The quantitative effect of flow direction on gas permeation in ceramic membrane..

Effect of pore size and porosity on contact angle of ceramic membrane for oil-in-water emulsion separation. (2022)
Conference Proceeding
AISUENI, F., ABUNUMAH, O., HASHIM, I., RAMALAN, M., OGOUN, E., PRABHU, R., GIWA, A. and GOBINA, E. 2022. Effect of pore size and porosity on contact angle of ceramic membrane for oil-in-water emulsion separation. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 59-62. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/174.pdf

The main objective of this work is to study the effect of pore size and porosity on contact angle of ceramic membrane (CM) for Oil-in-water (O/W) emulsion separation. This would include using commercially produced unmodified CM pore size 6000nm and 1... Read More about Effect of pore size and porosity on contact angle of ceramic membrane for oil-in-water emulsion separation..