Outputs (236)

Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction (2024)
Journal Article
Mishra, B. K., Preniqi, V., Thakker, D., & Feigl, E. (2024). Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction. Discover Internet of Things, 4(1), Article 24. https://doi.org/10.1007/s43926-024-00075-4

Electricity price prediction has an imperative role in the UK energy market among energy trading organisations. The price prediction directly impacts organisational policy for profitable electricity trading, better bidding plans, and the optimisation... Read More about Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction.

Participatory Science and Machine Learning Applied to Millions of Sources in the Hobby-Eberly Telescope Dark Energy Experiment (2024)
Journal Article
House, L. R., Gebhardt, K., Finkelstein, K., Mentuch Cooper, E., Davis, D., Farrow, D., & Schneider, D. P. (2024). Participatory Science and Machine Learning Applied to Millions of Sources in the Hobby-Eberly Telescope Dark Energy Experiment. The Astrophysical journal, 975(2), Article 172. https://doi.org/10.3847/1538-4357/ad782c

We are merging a large participatory science effort with machine learning to enhance the Hobby–Eberly Telescope Dark Energy Experiment (HETDEX). Our overall goal is to remove false positives, allowing us to use lower signal-to-noise data and sources... Read More about Participatory Science and Machine Learning Applied to Millions of Sources in the Hobby-Eberly Telescope Dark Energy Experiment.

Eco-Driving With Partial Wireless Charging Lane at Signalized Intersection: A Reinforcement Learning Approach (2024)
Journal Article
Ren, X., Lai, C. S., Guo, Z., & Taylor, G. (2024). Eco-Driving With Partial Wireless Charging Lane at Signalized Intersection: A Reinforcement Learning Approach. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2024.3482101

Consumer electronics such as advanced GPS,vehicular sensors,inertial measurement units (IMUs),and wireless modules integrate vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) within internet of thing (IoT),enabling connected autonomous ele... Read More about Eco-Driving With Partial Wireless Charging Lane at Signalized Intersection: A Reinforcement Learning Approach.

The evolution of democratic peace in animal societies (2024)
Journal Article
Hunt, K. L., Patel, M., Croft, D. P., Franks, D. W., Green, P. A., Thompson, F. J., Johnstone, R. A., Cant, M. A., & Sankey, D. W. (2024). The evolution of democratic peace in animal societies. Nature communications, 15(1), Article 6583. https://doi.org/10.1038/s41467-024-50621-5

A major goal in evolutionary biology is to elucidate common principles that drive human and other animal societies to adopt either a warlike or peaceful nature. One proposed explanation for the variation in aggression between human societies is the d... Read More about The evolution of democratic peace in animal societies.

A hybrid contextual framework to predict severity of infectious disease: COVID-19 case study (2024)
Journal Article
Azam, M. M. B., Anwaar, F., Khan, A. M., Anwar, M., Ghani, H. B. A., Eisa, T. A. E., & Abdelmaboud, A. (2024). A hybrid contextual framework to predict severity of infectious disease: COVID-19 case study. Egyptian Informatics Journal, 27, Article 100508. https://doi.org/10.1016/j.eij.2024.100508

Infectious disease is a particular type of disorder triggered by organisms and transmitted directly or indirectly from an infected one like COVID-19. The global economy and public health are immensely affected by COVID-19, a recently emerging infecti... Read More about A hybrid contextual framework to predict severity of infectious disease: COVID-19 case study.

Constraining the duration of ram pressure stripping features in the optical from the direction of jellyfish galaxy tails (2024)
Journal Article
Salinas, V., Jaffé, Y. L., Smith, R., Shinn, J. H., Crossett, J. P., Gullieuszik, M., González-Torà, G., Piraino-Cerda, F., Poggianti, B., Vulcani, B., Biviano, A., Lourenço, A. C. C., Bilton, L. E., Kelkar, K., & Calderón-Castillo, P. (2024). Constraining the duration of ram pressure stripping features in the optical from the direction of jellyfish galaxy tails. Monthly notices of the Royal Astronomical Society, 533(1), 341-359. https://doi.org/10.1093/mnras/stae1784

Ram pressure stripping is perhaps the most efficient mechanism for removing gas and quenching galaxies in dense environments, as they move through the intergalactic medium. Extreme examples of on-going ram pressure stripping are known as jellyfish ga... Read More about Constraining the duration of ram pressure stripping features in the optical from the direction of jellyfish galaxy tails.

Tests of subgrid models for star formation using simulations of isolated disc galaxies (2024)
Journal Article
Nobels, F. S. J., Schaye, J., Schaller, M., Ploeckinger, S., Chaikin, E., & Richings, A. J. (2024). Tests of subgrid models for star formation using simulations of isolated disc galaxies. Monthly notices of the Royal Astronomical Society, 532(3), 3299-3321. https://doi.org/10.1093/mnras/stae1390

We use smoothed particle hydrodynamics simulations of isolated Milky Way-mass disc galaxies that include cold, interstellar gas to test subgrid prescriptions for star formation (SF). Our fiducial model combines a Schmidt law with a gravitational inst... Read More about Tests of subgrid models for star formation using simulations of isolated disc galaxies.

Estimating the household secondary attack rate and serial interval of COVID-19 using social media (2024)
Journal Article
Dhiman, A., Yom-Tov, E., Pellis, L., Edelstein, M., Pebody, R., Hayward, A., House, T., Finnie, T., Guzman, D., Lampos, V., Virus Watch Consortium, & Cox, I. J. (2024). Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digital Medicine, 7(1), Article 194. https://doi.org/10.1038/s41746-024-01160-2

We propose a method to estimate the household secondary attack rate (hSAR) of COVID-19 in the United Kingdom based on activity on the social media platform X, formerly known as Twitter. Conventional methods of hSAR estimation are resource intensive,... Read More about Estimating the household secondary attack rate and serial interval of COVID-19 using social media.

Sustainable mining in tropical, biodiverse landscapes: Environmental challenges and opportunities in the archipelagic Philippines (2024)
Journal Article
Domingo, J. P. T., Jenkin, G. R., Quick, L., Williams, R. D., Hudson-Edwards, K. A., Tortajada, C., Byrne, P., Coulthard, T. J., Padrones, J. T., Crane, R., Gibaga, C. R. L., Vasilopoulos, G., Tungpalan, K., Samaniego, J. O., Biles, E., Tanciongco, A. M., Chambers, J. E., Quimado, M. O., Bautista, A. T., Gonzalvo, F. I. P., …Arcilla, C. A. (2024). Sustainable mining in tropical, biodiverse landscapes: Environmental challenges and opportunities in the archipelagic Philippines. Journal of cleaner production, 468, Article 143114. https://doi.org/10.1016/j.jclepro.2024.143114

The rising demand for critical metals presents a major economic opportunity for mineral-rich countries. For a sustainable transition to a low-carbon future, it is essential to minimise impacts of mineral resource development to the environment, ecosy... Read More about Sustainable mining in tropical, biodiverse landscapes: Environmental challenges and opportunities in the archipelagic Philippines.

Predictions for CO emission and the CO-to-H2 conversion factor in galaxy simulations with non-equilibrium chemistry (2024)
Journal Article
Thompson, O. A., Richings, A. J., Gibson, B. K., Faucher-Giguère, C. A., Feldmann, R., & Hayward, C. C. (2024). Predictions for CO emission and the CO-to-H2 conversion factor in galaxy simulations with non-equilibrium chemistry. Monthly notices of the Royal Astronomical Society, 532(2), 1948-1965. https://doi.org/10.1093/mnras/stae1486

Our ability to trace the star-forming molecular gas is important to our understanding of the Universe. We can trace this gas using CO emission, converting the observed CO intensity into the H2 gas mass of the region using the CO-to-H2 conversion fact... Read More about Predictions for CO emission and the CO-to-H2 conversion factor in galaxy simulations with non-equilibrium chemistry.