Historical Consistent Neural Networks for Wind Power Prediction by Rockefeller, Rockefeller

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Volcanic skyscapes by Pretorius, Pieter Cilliers

“…The atmo-sphere is modelled as sparse layers of 2D Eulerian grids, while the plume dynamics are modelled with Lagrangian disks and spheres. …”
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Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array by Jideani, Josiah Chimnanu

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Evaluating transformers as memory systems in reinforcement learning by Makkink, Thomas

“…Memory in reinforcement learning is particularly difficult as rewards are often sparse and distributed over many time steps. Early research into transformers as memory mechanisms for reinforcement learning indicated that the canonical model is not suitable, and that additional gated recurrent units and architectural modifications are necessary to stabilize these models. …”
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Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks by Kombani, Ngonidzashe Gideon

“…A cooperative spectrum sensing cognitive radio model is presented based on energy detection sensing and multi-slot spectrum allocation. …”
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Analysis of long-term changes in populations of the Clanwiliam Cedar (Widdringtonia cedarbergensis) using repeat photography by White, Joseph Douglas Mandla

“…From the historical to repeat photosets there was an 8% increase in the proportion of mature adults and a 13% increase in the proportion of W. cedarbergensis individuals with sparse foliage cover. A generalized linear model was used to determine the effects of environmental factors on W. cedarbergensis mortality in natural populations.…”
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Cost comparison of hydropower options for rural electrification in Rwanda by Nsengiyumva, Anicet

“…This is done by considering rural households to be randomly distributed and the model composed by 98 rural villages having three different population densities is used to test the validity of the hypothesis. …”
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The significance of composition in supplementing extratextual narrative: a topical cue analysis of Star Trek: discovery to provide narrative meaning within instrumentation by Forbes, Aidan Jarod

“…While concern of this scarcity is valid, the sparse research field contributes to a more creative research approach and methodology. …”
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Topics in interpolation and smoothing of spatial data by McNeill, Lindsay

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Super-resolution imaging by Van der Walt, Stefan Johann

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Sensor Data Fusion For Air Quality Monitoring by hesham, Mirna

“…Since traditional air quality monitoring methods often rely on geographically sparse and costly air quality monitoring stations, image-based air quality method- ologies are recently offering a compelling alternative that utilizes images from sources like satellites, traffic cameras, and even smartphones to monitor pollution levels by using estimation models, image-processing techniques, and deep-learning models. …”
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An investigation of the limited distribution of the grazing lawns in Hluhluwe-Umfolozi Park, South Africa by Swemmer, Anthony Michael

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Unsupervised maritime target detection by Bachoo, Asheer

“…The texture appearance of the ocean is described using Local Binary Pattern (LBP) descriptors. Two models are proposed: one model is a Gaussian Mixture (GMM) and the other, referred to as a Sparse Texture Model (STM), is a set of histogram texture distributions. …”
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Towards a theory of Deference in South Africa; Trans-Atlantic Lessons by Kenny, John

“…Rather the few post-1994 cases that have dealt expressly with deference will be adverted to, and an attempt made to elicit a skeletal model from the rather sparse dicta The paper will conclude with a modest proposal for a process rationale for deference, broadly based on a Skidmore-hard look paradigm to reconcile the two emerging streams of the jurisprudence. …”
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Localisation under Large Appearance Change by Church, Matthew

“…The inclusion of generated data reduces the requirement for frequent data collection, provided an adequate generation model can be trained. The experience, which is a collection of images and transforms describing a traversal of an environment is the primary means through which this generation of data can influence the network. …”
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Malicious user attacks in decentralised cognitive radio networks

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Pharmacometrics to characterize pharmacokinetics and optimize treatment in understudied populations by Gebreyesus, Manna Semere

“…Finally, I used modelling to identify pharmacokinetic changes in esomeprazole during pregnancy using data from 59 adults(including 10 pregnant) on esomeprazole. …”
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Soil characteristics and pedogenesis on sub-Antarctic Marion Island

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LASSO - simultaneous shrinkage and selection via the L1 norm

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Significant Population Structure and Little Connectivity in South African Rocky Shore Species: Implications for the Conservation of Regional Marine Biodiversity by Wright, Daniel B

“…Even with this relatively high level of protection (as compared to other nations globally) the MPA network is still relatively sparse with protected areas that are on average ~110 km apart and unevenly distributed with the majority of MPAs situated along the species-rich east coast. …”
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