Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning

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A hybrid deep learning model for land subsidence prediction based on TS-InSAR: a case study of Donggugang

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Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia

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The effect of an aquatic or land-based intervention programme on gross motor skills of selected children with Down syndrome by Roodt, Odelia

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Integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach by De Beyer, Leigh Helen

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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…To address this challenge, this research uses a multidisciplinary approach that combines Machine Learning techniques, remote sensing data, and wildfire science to develop an advanced wildfire prediction system. …”
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The design and use of an outdoor learning environment for sensory and motor stimulation

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Deep Learning-Based Change Detection in High-Resolution Remote Sensing Imagery by Badawy, Hazem

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Predicting process performance in the manufacturing and agricultural sectors using machine learning techniques by Khoza, Sibusiso Comfort

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The lived experiences of environmental education teachers facilitating experiential learning using the CAPS curriculum by Wagner, Keanan Nicole

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…The performance of the models was compared based on default hyperparameters versus Bayesianoptimised hyperparameters. …”
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The effect of measurement error and land management covariates on machine learning derived digital soil maps by Malatji, Boitumelo Raymond

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The development and evaluation of a portfolio of learning in the workplace for postgraduate family medicine education in South Africa by Jenkins, Louis S.

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The post-literacy perceptions of newly literate adult learners at a rural community learning centre by Van Wyk, Jeremy Mark

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A framework for designing South African mobile learning experiences through a participatory design process by Erasmus, Reino

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The development, implementation, validation and evaluation of a continuing professional development learning programme for nurses working in Saudi Arabia by Butler, Mollie

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InSAR time series analysis and machine learning for ground subsidence monitoring and susceptibility mapping in Midvaal, South Africa by Maluleka, Thobani

“…Spatio-temporal analyses revealed that ground subsidence and uplift patterns were strongly influenced by land use, hydrological factors, vegetation cover, soil moisture, precipitation, and ground water storage anomalies. …”
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Nursing students perceptions and experiences of high fidelity simulation as a learning and teaching strategy in a resource limited setting by Munangatire, Takaedza

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Quantifying phytoplankton biomass and sediment in river plumes along the Agulhas Bank using remotely sensed data with deep learning techniques by Pillay, Humeshni

“…However, AC is a major concern in regions where land-based fynbos biogenic burning is common. As a result, the current [Chl-a] satellite data product performances were not optimal, especially when mapped over the open ocean region. …”
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Predictive models for smart vineyards by Luttich, F. R.

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