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Programming language evaluation criteria for safety-critical software in the air domain. (2022)
Conference Proceeding
ASHMORE, R., HOWE, A., CHILTON, R. and FAILY, S. 2022. Programming language evaluation criteria for safety-critical software in the air domain. In Proceedings of the 12th IEEE international workshop on software certification (WoSoCer 2022), 31 October - 3 November 2022, Charlotte, NC, USA. Los Alamitos: IEEE Computer Society. To be made available from: https://ieeexplore.ieee.org/

Safety-critical software in the air domain typically conforms to RTCA DO-178C. However, latent failures might arise based on assumptions underpinning the programming language used to write the software, whereas the lack of empirical data may constrai... Read More about Programming language evaluation criteria for safety-critical software in the air domain..

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..

A case-based approach for content planning in data-to-text generation. (2022)
Conference Proceeding
UPADHYAY, A. and MASSIE, S. 2022. A case-based approach for content planning in data-to-text generation. 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 380-394. Available from: https://doi.org/10.1007/978-3-031-14923-8_25

The problem of Data-to-Text Generation (D2T) is usually solved using a modular approach by breaking the generation process into some variant of planning and realisation phases. Traditional methods have been very good at producing high quality texts b... Read More about A case-based approach for content planning in data-to-text generation..

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..

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..

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..

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..

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 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..

An experimental study on the effect of methane potent biogas mixture on gas permeation mechanism. (2022)
Conference Proceeding
OGUNLUDE, P., HASHIM, I., RAMALAN, M., OGOUN, E., MUHAMMAD-SUKKI, F., GIWA, A. and GOBINA, E. 2022. An experimental study on the effect of methane potent biogas mixture on gas permeation mechanism. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 43-46. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/188.pdf

This study focuses on the use of composite alumina membranes for the separation of carbon dioxide from methane. The technique can be applied to pre, post and oxycombustion operations in industry and would be particularly useful in mitigating the effe... Read More about An experimental study on the effect of methane potent biogas mixture on gas permeation mechanism..

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..

Direct oxygen air capture using pressure-driven ion transport membranes: membrane support evaluation. (2022)
Conference Proceeding
ANTWI, S.W., GIWA, A. and GOBINA, E. 2022. Direct oxygen air capture using pressure-driven ion transport membranes: membrane support evaluation. In Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 63-66. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/329.pdf

As membrane technology has progressed in separation processes, it earns the attentiveness from industrial and academic to investigate the practicality of membrane in gas separation. This presentation centres on building ceramic membranes to yield oxy... Read More about Direct oxygen air capture using pressure-driven ion transport membranes: membrane support evaluation..

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..

Development of dense membranes for high-density hydrogen production from ammonia catalytic decomposition (cracking) for PEM fuel cells power in long-haul passenger aircraft transportation. (2022)
Conference Proceeding
SHEHU, H., ORAKWE, I., ABUNOMAH, O., OGUNLUDE, P., OGOUN, E., RAMALAN, M., AISUENI, F., OKO, E., IBHADON, A., GAD-BRIGGS, A., GIANNOPOULOS, I., GIWA, A. and GOBINA, E. 2022. Development of dense membranes for high-density hydrogen production from ammonia catalytic decomposition (cracking) for PEM fuel cells power in long-haul passenger aircraft transportation. Techconnect briefs 2022: papers from 2022 TechConnect world innovation conference and expo, 13-15 June 2022, Washington, USA. Danville: TechConnect [online], pages 134-137. Available from: https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/310.pdf

Aviation is a major greenhouse gas contributor responsible for around 3.2% of global CO2 emissions to the atmosphere. That corresponds to over than 1 billion metric tons of carbon (A metric ton is slightly smaller than the American imperial ton—but t... Read More about Development of dense membranes for high-density hydrogen production from ammonia catalytic decomposition (cracking) for PEM fuel cells power in long-haul passenger aircraft transportation..

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..