All Outputs (207)

An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models (2025)
Journal Article
Ajala, A. A., Adeoye, O. L., Salami, O. M., & Jimoh, A. Y. (2025). An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models. Environmental science and pollution research, 32(5), 2510-2535. https://doi.org/10.1007/s11356-024-35764-8

Human-induced global warming, primarily attributed to the rise in atmospheric CO2,poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO2emissions, which are crucial for setting long-term emission mi... Read More about An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models.

The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey (2024)
Journal Article
Holwerda, B. W., Robertson, C., Cook, K., Pimbblet, K., Casura, S., Sansom, A. E., Patel, D., Butrum, T. A., Glass, D. H. W., Kelvin, L. S., Baldry, I. K., De Propris, R., Bamford, S., Masters, K., Stone, M. B., Hardin, T., Walmsley, M., Liske, J., & Adnan, S. M. (2024). The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey. Publications / Astronomical Society of Australia, 41, Article e115. https://doi.org/10.1017/pasa.2024.109

Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) ima... Read More about The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey.

Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance (2024)
Presentation / Conference Contribution
Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awarene... Read More about Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance.

DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture (2024)
Presentation / Conference Contribution
Babaferi, E. V., Fagbola, T. M., & Thakur, C. S. (2024, August). DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Mauritius

Brain tumors are abnormal cell growths within the brain tissues, necessitating their early detection towards effective treatment. To achieve this, high-quality brain images via medical imaging techniques, such as Magnetic Resonance Imaging (MRI), are... Read More about DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture.

Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis (2024)
Presentation / Conference Contribution
Fagbola, T. M., Aderemi, E. T., & Thakur, C. S. (2024, August). Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Mauritius

The use of Deep Learning (DL)-based methods for Colorectal Cancer (CRC) classification and segmentation has gained significant attention in recent times. This study employs a bibliometric analysis to investigate the state-of-The-art research on DL-ba... Read More about Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis.

Devising a Responsible Framework for Air Quality Sensor Placement (2024)
Presentation / Conference Contribution
Westcarr, J., Gunturi, V. M. V., Cabaneros, S. M., Raja, R., Thakker, D., & Porter, A. (2024, July). Devising a Responsible Framework for Air Quality Sensor Placement. Presented at 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, United Kingdom

A major challenge faced when developing smart, sustainable urban environments is the reduction of air pollutants that adversely impact citizens' health. The UK has implemented strategies such as clean air zones (CAZs) coupled with the use of sensor t... Read More about Devising a Responsible Framework for Air Quality Sensor Placement.

Constraining SN Ia Progenitors from the Observed Fe-peak Elemental Abundances in the Milky Way Dwarf Galaxy Satellites (2024)
Preprint / Working Paper
Alexander, R., & Vincenzo, F. Constraining SN Ia Progenitors from the Observed Fe-peak Elemental Abundances in the Milky Way Dwarf Galaxy Satellites

Chemical abundances of iron-peak elements in the red giants of ultra-faint dwarf galaxies (UFD) and dwarf spheroidal galaxies (dSph) are among the best diagnostics in the cosmos to probe the origin of Type Ia Supernovae (SNe Ia). We incorporate metal... Read More about Constraining SN Ia Progenitors from the Observed Fe-peak Elemental Abundances in the Milky Way Dwarf Galaxy Satellites.

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.

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.

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.

Modeling nonstationary noise in pulsar timing array data analysis (2024)
Journal Article
Falxa, M., Antoniadis, J., Champion, D. J., Cognard, I., Desvignes, G., Guillemot, L., Hu, H., Janssen, G., Jawor, J., Karuppusamy, R., Keith, M., Kramer, M., Lackeos, K., Liu, K., McKee, J. W., Perrodin, D., Sanidas, S., Shaifullah, G., & Theureau, G. (2024). Modeling nonstationary noise in pulsar timing array data analysis. Physical Review D, 109(12), Article 123010. https://doi.org/10.1103/PhysRevD.109.123010

Pulsar timing array (PTA) collaborations recently reported evidence for the presence of a gravitational wave background (GWB) in their datasets. The main candidate that is expected to produce such a GWB is the population of supermassive black hole bi... Read More about Modeling nonstationary noise in pulsar timing array data analysis.

Do galaxy mergers prefer under-dense environments? (2024)
Journal Article
Sureshkumar, U., Durkalec, A., Pollo, A., Pearson, W., Farrow, D., Narayanan, A., Loveday, J., Taylor, E., & Suelves, L. (2024). Do galaxy mergers prefer under-dense environments?. Astronomy and Astrophysics, 686, Article A40. https://doi.org/10.1051/0004-6361/202347705

Context. Galaxy mergers play a crucial role in galaxy evolution. However, the correlation between mergers and the local environment of galaxies is not fully understood.
Aims. We aim to address the question of whether galaxy mergers prefer denser or... Read More about Do galaxy mergers prefer under-dense environments?.

The second data release from the European Pulsar Timing Array: IV. Implications for massive black holes, dark matter, and the early Universe (2024)
Journal Article
EPTA Collaboration and InPTA Collaboration, Antoniadis, J., Arumugam, P., Arumugam, S., Babak, S., Bagchi, M., Bak Nielsen, A.-S., Bassa, C. G., Bathula, A., Berthereau, A., Bonetti, M., Bortolas, E., Brook, P. R., Burgay, M., Caballero, R. N., Chalumeau, A., Champion, D. J., Chanlaridis, S., Chen, S., Cognard, I., …Valtolina, S. (2024). The second data release from the European Pulsar Timing Array: IV. Implications for massive black holes, dark matter, and the early Universe. Astronomy and Astrophysics, 685, Article A94. https://doi.org/10.1051/0004-6361/202347433

The European Pulsar Timing Array (EPTA) and Indian Pulsar Timing Array (InPTA) collaborations have measured a low-frequency common signal in the combination of their second and first data releases, respectively, with the correlation properties of a g... Read More about The second data release from the European Pulsar Timing Array: IV. Implications for massive black holes, dark matter, and the early Universe.

Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background (2024)
Journal Article
Agazie, G., Antoniadis, J., Anumarlapudi, A., Archibald, A. M., Arumugam, P., Arumugam, S., Arzoumanian, Z., Askew, J., Babak, S., Bagchi, M., Bailes, M., Nielsen, A.-S. B., Baker, P. T., Bassa, C. G., Bathula, A., Bécsy, B., Berthereau, A., Bhat, N. D. R., Blecha, L., Bonetti, M., …The International Pulsar Timing Array Collaboration. (2024). Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background. The Astrophysical journal, 966(1), Article 105. https://doi.org/10.3847/1538-4357/ad36be

The Australian, Chinese, European, Indian, and North American pulsar timing array (PTA) collaborations recently reported, at varying levels, evidence for the presence of a nanohertz gravitational-wave background (GWB). Given that each PTA made differ... Read More about Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background.

Dense stellar clump formation driven by strong quasar winds in the FIRE cosmological hydrodynamic simulations (2024)
Journal Article
Mercedes-Feliz, J., Anglés-Alcázar, D., Oh, B. K., Hayward, C. C., Cochrane, R. K., Richings, A. J., Faucher-Giguère, C. A., Wellons, S., Terrazas, B. A., Moreno, J., Su, K. Y., & Hopkins, P. F. (2024). Dense stellar clump formation driven by strong quasar winds in the FIRE cosmological hydrodynamic simulations. Monthly notices of the Royal Astronomical Society, 530(3), 2795-2809. https://doi.org/10.1093/mnras/stae1021

We investigate the formation of dense stellar clumps in a suite of high-resolution cosmological zoom-in simulations of a massive, star-forming galaxy at z ∼ 2 under the presence of strong quasar winds. Our simulations include multiphase ISM physics f... Read More about Dense stellar clump formation driven by strong quasar winds in the FIRE cosmological hydrodynamic simulations.

Under threat: the International AIDS Society–Lancet Commission on Health and Human Rights (2024)
Journal Article
Beyrer, C., Kamarulzaman, A., Isbell, M., Amon, J., Baral, S., Bassett, M. T., Cepeda, J., Deacon, H., Dean, L., Fan, L., Giacaman, R., Gomes, C., Gruskin, S., Goyal, R., Mon, S. H. H., Jabbour, S., Kazatchkine, M., Kasoka, K., Lyons, C., Maleche, A., …Rubenstein, L. (2024). Under threat: the International AIDS Society–Lancet Commission on Health and Human Rights. Lancet, 403(10434), 1374-1418. https://doi.org/10.1016/S0140-6736%2824%2900302-7

2023 marked the 75th anniversary of the UN's Universal Declaration of Human Rights. The Universal Declaration articulates an inspiring vision of a world that is just, equitable, tolerant, and strategically focused on actions to address the most vulne... Read More about Under threat: the International AIDS Society–Lancet Commission on Health and Human Rights.

Culture and Heritage in Constitutional Law (2024)
Book Chapter
Vaivade, A., & Deacon, H. (2024). Culture and Heritage in Constitutional Law. In L. Lixinski, & L. K. Morisset (Eds.), The Routledge Handbook of Heritage and the Law. Routledge. https://doi.org/10.4324/9781003149392

The chapter will analyze the way states deal with culture and heritage in their constitutions, in relation to nation building, identity and human rights, and will provide insights into examples coming from different regions of the world. Considering... Read More about Culture and Heritage in Constitutional Law.

Tailored risk assessment and forecasting in intermittent claudication (2024)
Journal Article
Ravindhran, B., Prosser, J., Lim, A., Lathan, R., Mishra, B., Hitchman, L., Smith, G. E., Carradice, D., Thakker, D., Chetter, I. C., & Pymer, S. (2024). Tailored risk assessment and forecasting in intermittent claudication. BJS Open, 8(1), Article zrad166. https://doi.org/10.1093/bjsopen/zrad166

Background: Guidelines recommend cardiovascular risk reduction and supervised exercise therapy as the first line of treatment in intermittent claudication, but implementation challenges and poor patient compliance lead to significant variation in man... Read More about Tailored risk assessment and forecasting in intermittent claudication.

The interplay between dust and radiation (2024)
Book Chapter
Richings, A. (2024). The interplay between dust and radiation. In S. Bovino, & T. Grassi (Eds.), Astrochemical Modeling: Practical Aspects of Microphysics in Numerical Simulations (157-188). Elsevier. https://doi.org/10.1016/B978-0-32-391746-9.00015-8

The attenuation of radiation due to dust depends on the composition and optical properties of the dust grains. This is fundamental to determine the impact of radiation on chemical evolution. In this chapter, we discuss how we can compute grain proper... Read More about The interplay between dust and radiation.

Constraining the driving mechanism of galaxy-scale winds with emission line spectra (2023)
Presentation / Conference Contribution
Stern, J., Oñorbe, J., Richings, A. J., Johnson, S. D., & Faucher-Giguère, C.-A. (2023, March). Constraining the driving mechanism of galaxy-scale winds with emission line spectra. Presented at Black Hole Winds at All Scales : IAU symposium 378, Haifa, Israel

Using hydrodynamic simulations and photoionization calculations, we demonstrate that quasar emission line spectra contain information on the driving mechanism of galaxy-scale outflows. Outflows driven by a hot shocked bubble are expected to exhibit L... Read More about Constraining the driving mechanism of galaxy-scale winds with emission line spectra.