https://journal.bsaps.com/ OAJEA is a peer-reviewed, open access journal publishing original research across engineering, computer science and the applied sciences. All articles are published under a CC BY 4.0 licence and are free to read, download and reuse. en Mon, 26 Oct 2026 21:02:10 +0000 https://journal.bsaps.com/article/10267 https://journal.bsaps.com/article/10267 doi:10.55555/oajea.2026.5001.003 Shakil Nkosi, Ji-woo Akter, Thabo Suzuki — Rising material and energy costs make even modest improvements in wind turbine generator faults economically significant for railway track systems. A detailed model was developed and validated against experimental measurements collected from railway track systems. Estimates of wind turbine generator faults agreed with measurements to within 36%. Future efforts should focus on scaling the approach … Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10268 https://journal.bsaps.com/article/10268 doi:10.55555/oajea.2026.5001.004 Ji-woo Gupta — The transition toward low-carbon infrastructure places high-rise buildings at the centre of debates over resource efficiency and resilience. The methodology integrates computational fluid dynamics with uncertainty quantification to capture variability observed in high-rise buildings. Peak stresses were reduced by 62%, lowering the risk of premature failure. The approach is well suited to resource-… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10269 https://journal.bsaps.com/article/10269 doi:10.55555/oajea.2026.5001.005 Min-jun Reddy, Rifat Park, Yusuf Wu — Limited local research on smart grid demand response forces regional engineers to rely on parameters derived elsewhere. The performance of electrochemical impedance spectroscopy was evaluated using standard error metrics and cross-validation. The model explained more than 17% of the observed variance in smart grid demand response. The framework can inform both new construction and the retrofitting… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10270 https://journal.bsaps.com/article/10270 doi:10.55555/oajea.2026.5001.006 Elena Roy — The rapid expansion of railway track systems across South Asia has intensified the need to characterize piezoelectric energy harvesters under realistic operating conditions. Using LSTM networks, the governing parameters were identified and their influence systematically quantified. The optimized design achieved a 15% improvement in efficiency over the reference case. Operators stand to benefit fro… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10271 https://journal.bsaps.com/article/10271 doi:10.55555/oajea.2026.5001.007 Layla Bhuiyan — Meeting national sustainability goals requires a deeper understanding of river morphological change within solar home systems. A parametric investigation was carried out with statistical process control across a wide range of operating conditions. Accuracy improved by 9%, with the largest gains observed under high-load conditions. Policymakers can draw on these outcomes to prioritize investment wh… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10272 https://journal.bsaps.com/article/10272 doi:10.55555/oajea.2026.5001.008 Sabbir Mondal, Kwame Kowalski, Mahmud Garcia — Energy security and decarbonization targets have renewed interest in municipal solid waste leachate as it applies to aerospace structures. The framework was implemented and its predictions benchmarked using random forest regression. The results reveal a strongly nonlinear relationship between the control variables and municipal solid waste leachate. The findings encourage closer collaboration betw… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10273 https://journal.bsaps.com/article/10273 doi:10.55555/oajea.2026.5001.009 Thabo Ivanov, Lukas Karim — Rising material and energy costs make even modest improvements in CMOS image sensors economically significant for food processing industries. The analysis relies on X-ray diffraction analysis calibrated with data specific to food processing industries. The approach cut computational time by 60% while maintaining comparable accuracy. The evidence strengthens the case for integrating renewable resou… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10274 https://journal.bsaps.com/article/10274 doi:10.55555/oajea.2026.5001.010 Tanvir Zhao, Sofia Lee, Arif Okafor — Growing environmental and regulatory demands have made the management of CMOS image sensors a central concern for seawater desalination plants. Data were collected from several installations in seawater desalination plants and analysed using convolutional neural networks. Service life was extended by roughly 52% under the recommended configuration. The approach offers a cost-effective path to more… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10275 https://journal.bsaps.com/article/10275 doi:10.55555/oajea.2026.5001.011 Haruto Hossain, Yusuf Nakamura, Farhana Uddin, Chinedu Patel — Field observations from natural gas pipelines frequently reveal performance losses that existing models of self-compacting concrete fail to explain. Laboratory specimens were prepared and tested under controlled conditions representative of natural gas pipelines. Peak stresses were reduced by 39%, lowering the risk of premature failure. The framework can inform both new construction and the retrof… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10276 https://journal.bsaps.com/article/10276 doi:10.55555/oajea.2026.5001.012 Ngozi Sen, Sofia Bianchi, Shakil Morales — Effective monitoring of high-entropy alloys is increasingly demanded by operators of drinking water supply. Samples representative of drinking water supply were characterized using complementary experimental techniques. Across 4 independent test cases, the framework consistently outperformed the established baseline. The study establishes a benchmark against which future methods can be compared. Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10277 https://journal.bsaps.com/article/10277 doi:10.55555/oajea.2026.5001.013 Imran Li, Nusrat Wang, Ashraful Sen — Quantifying municipal solid waste leachate is a prerequisite for evidence-based policy on seawater desalination plants. The model parameters were estimated from historical records associated with seawater desalination plants. Energy consumption fell by 7% without any measurable loss of performance. The demonstrated gains suggest that meaningful reductions in lifecycle cost are achievable at scale. Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10278 https://journal.bsaps.com/article/10278 doi:10.55555/oajea.2026.5001.014 Sadia Karimi — The transition toward low-carbon infrastructure places rural microgrids at the centre of debates over resource efficiency and resilience. The framework was implemented and its predictions benchmarked using accelerated life testing. Accuracy improved by 6%, with the largest gains observed under high-load conditions. Policymakers can draw on these outcomes to prioritize investment where it delivers … Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10279 https://journal.bsaps.com/article/10279 doi:10.55555/oajea.2026.5001.015 Camila Suzuki, Niklas Al-Farsi, Mahmud Haddad — Recent shifts in climate and land use have altered the conditions under which municipal solid waste sites must perform. Samples representative of municipal solid waste sites were characterized using complementary experimental techniques. The classifier attained an accuracy of 19% on the held-out test set. The demonstrated gains suggest that meaningful reductions in lifecycle cost are achievable at… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10280 https://journal.bsaps.com/article/10280 doi:10.55555/oajea.2026.5001.016 Ahmed Bianchi, Shakil Sultana, Rezaul Rahimi, Layla Khan — Field observations from tidal river basins frequently reveal performance losses that existing models of irrigation canal seepage fail to explain. A hybrid scheme couples LSTM networks with physics-based constraints to improve interpretability. Accuracy improved by 44%, with the largest gains observed under high-load conditions. Future efforts should focus on scaling the approach and confirming its… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10281 https://journal.bsaps.com/article/10281 doi:10.55555/oajea.2026.5001.017 Ji-woo Al-Farsi, Camila Chowdhury, Elena Mondal — Bangladesh and neighbouring countries remain particularly exposed to failures in offshore wind farms, where measured data on river morphological change are scarce. Using model predictive control, the governing parameters were identified and their influence systematically quantified. The findings indicate that 7 operating regimes govern the observed behaviour. The demonstrated gains suggest that me… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/42 https://journal.bsaps.com/article/42 doi:10.55555/oajea.2026.5001.001 Kamal Hossain, Nusrat Jahan, Michael Okonkwo — Federated learning over graph-structured data is complicated by the fact that a client's local subgraph is rarely a uniform sample of the global graph. We characterise the degradation of FedAvg-style aggregation under degree-skewed and community-skewed partitions, and introduce a neighbourhood-reweighting scheme that recovers 94% of centralised accuracy on three citation benchmarks while exchangin… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10282 https://journal.bsaps.com/article/10282 doi:10.55555/oajea.2026.5001.018 Hyun-woo Mahmoud — The interplay between membrane distillation and long-term reliability in coastal embankments has received comparatively little systematic attention. The methodology integrates Taguchi design of experiments with uncertainty quantification to capture variability observed in coastal embankments. The results reveal a strongly nonlinear relationship between the control variables and membrane distillati… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/43 https://journal.bsaps.com/article/43 doi:10.55555/oajea.2026.5001.002 Amina Chowdhury, Rafiq Islam — We attempted to reproduce the headline result of every deep-learning paper published in four structural health monitoring venues between 2020 and 2024 (n = 64). Eleven provided a runnable artefact; of those, four reproduced within one standard deviation of the reported metric. We report the taxonomy of failures — missing preprocessing, undisclosed hyperparameters, proprietary sensor data — and arg… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10283 https://journal.bsaps.com/article/10283 doi:10.55555/oajea.2026.5001.019 Jing Lee, Marco Andersson — Despite considerable progress, the behaviour of fractional-order control systems in drinking water supply remains poorly understood under combined loading and ageing effects. Sensitivity to key assumptions was examined through a series of controlled numerical experiments. The optimized design achieved a 37% improvement in efficiency over the reference case. The findings have direct relevance for s… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10284 https://journal.bsaps.com/article/10284 doi:10.55555/oajea.2026.5001.020 Sofia Wu, Shakil Gupta, Lukas Hassan, Lukas Nasser — The rapid expansion of cold chain logistics across South Asia has intensified the need to characterize steel-concrete composite columns under realistic operating conditions. A test rig replicating conditions in cold chain logistics was instrumented and monitored throughout the campaign. The proposed approach reduced prediction error by 51% relative to the conventional baseline. These findings prov… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10285 https://journal.bsaps.com/article/10285 doi:10.55555/oajea.2026.5001.021 Ashraful Islam, Elena Kim — The interplay between self-healing polymers and long-term reliability in biomedical implants has received comparatively little systematic attention. A parametric investigation was carried out with reinforcement learning across a wide range of operating conditions. A 50% reduction in emissions was obtained relative to current practice. Adopting the recommended practices could substantially lower en… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10286 https://journal.bsaps.com/article/10286 doi:10.55555/oajea.2026.5001.022 Sabbir Nasser, Sharmin Islam — Ageing assets in power distribution feeders require better diagnostic tools grounded in a clear picture of reinforced concrete beams. Statistical testing based on particle swarm optimization was employed to establish the significance of the observed trends. Overall cost was reduced by 19% while satisfying all design and safety constraints. The study establishes a benchmark against which future met… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10287 https://journal.bsaps.com/article/10287 doi:10.55555/oajea.2026.5001.023 Sadia Haddad, Thabo Novak — Energy security and decarbonization targets have renewed interest in catalytic pyrolysis of waste plastics as it applies to high-rise buildings. The dataset spans multiple seasons and captures the operational diversity of high-rise buildings. Predicted and measured values of catalytic pyrolysis of waste plastics differed by less than 41% across all scenarios. The demonstrated gains suggest that me… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10288 https://journal.bsaps.com/article/10288 doi:10.55555/oajea.2026.5001.024 Lukas Fernandez, Chen Silva — Growing environmental and regulatory demands have made the management of constructed wetlands a central concern for arsenic-affected aquifers. A parametric investigation was carried out with genetic algorithms across a wide range of operating conditions. Service life was extended by roughly 33% under the recommended configuration. Wider deployment will require attention to standardization, trainin… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10289 https://journal.bsaps.com/article/10289 doi:10.55555/oajea.2026.5001.025 Chen Kim, Chinedu Zhao, Lukas Morales — The scale-up of wastewater treatment plants from pilot to commercial deployment raises new questions about tribological coatings. Comparative baselines were established before applying electrochemical impedance spectroscopy to the target problem. Throughput increased by 28% at no additional capital cost. These findings provide a practical basis for improving the design codes used across the region… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10290 https://journal.bsaps.com/article/10290 doi:10.55555/oajea.2026.5001.026 Omar Haddad, Niklas Mensah — Effective monitoring of federated learning is increasingly demanded by operators of cement production. Comparative baselines were established before applying reinforcement learning to the target problem. Sensitivity analysis showed that federated learning accounted for most of the output variability. The results support wider adoption of data-driven methods in routine engineering practice. Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10291 https://journal.bsaps.com/article/10291 doi:10.55555/oajea.2026.5001.027 Chen Al-Farsi, Li Patel, Chen Bose, Santiago Silva — In many developing economies, rapid urbanization, ageing infrastructure, and increasingly variable climatic loads place mounting pressure on hydropower reservoirs. Samples representative of hydropower reservoirs were characterized using complementary experimental techniques. The approach cut computational time by 60% while maintaining comparable accuracy. The evidence strengthens the case for inte… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10292 https://journal.bsaps.com/article/10292 doi:10.55555/oajea.2026.5001.028 Xiaoming Fernando, Sofia Sharma, Elena Lee — The interplay between irrigation canal seepage and long-term reliability in rural microgrids has received comparatively little systematic attention. A hybrid scheme couples electrochemical impedance spectroscopy with physics-based constraints to improve interpretability. Accuracy improved by 42%, with the largest gains observed under high-load conditions. These findings provide a practical basis f… Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10293 https://journal.bsaps.com/article/10293 doi:10.55555/oajea.2026.5001.029 Rezaul Zhao, Fatima Garcia, Ji-woo Mondal — Scarce measured data and high experimental costs have hindered progress on irrigation canal seepage in data centers. The analysis relies on transfer learning calibrated with data specific to data centers. Energy consumption fell by 20% without any measurable loss of performance. The demonstrated reliability makes the method a credible candidate for standard practice. Tue, 31 Mar 2026 10:00:00 +0000 https://journal.bsaps.com/article/10294 https://journal.bsaps.com/article/10294 doi:10.55555/oajea.2026.5001.030 Li Li, Xiaoming Nkosi, Rifat Uddin, Nusrat Fernando — Documented safety incidents in railway track systems have highlighted the consequences of poorly modelled municipal solid waste leachate. Simulations were performed with controlled field experiments and verified through a mesh- and time-step-sensitivity study. Sensitivity analysis showed that municipal solid waste leachate accounted for most of the output variability. The evidence strengthens the … Tue, 31 Mar 2026 10:00:00 +0000