The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions by Olshewsky, Avron Bernard

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Towards high fidelity mapping of global inland water quality using earth observation data by Kravitz, Jeremy

“…Atmospheric correction remains a difficult challenge to operational freshwater monitoring, however, the study further validated previous work confirming applicability of simple, empirically derived retrieval algorithms using top-of-atmosphere data. The apparent scarcity of paired in-situ optical and biogeophysical data for productive inland waters also hinders our capability to develop and validate robust retrieval algorithms. …”
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Graph Neural Network Applications in Electronic Design Automation by Helaly, Abdelrahaman Wael

“…The pipeline integrates three main components: (1) A GNN-based model, trained in an unsupervised manner to generate initial color predictions, which are refined by (2) Algorithmic refinement strategies (a GNN-based heuristic and simulated annealing) or (3) Learning-based refinement (reinforcement learning and large language models) that together enhance solution quality and balance. …”
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Object detection for signal separation with different time-frequency representations

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Machine Learning techniques to discover and understand the population of flare stars in MeerLICHT data by Bangiso, Aphiwe

“…As additional work, we attempt to find sub-classes within the M-type class in MeerLiCHT data using k-means and hierarchical clustering algorithms. We find two distinct sub-classes in this data. …”
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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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Rail surface anomaly detection : a deep learning approach for computer vision

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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law by Spies, Luka

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Development of a Low-Cost System for Monitoring Root Growth Dynamics by De Raay, Yasmin

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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach by Mabaso, Nelisa Zamantungwa Sphumelele

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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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Comparative evaluation of conventional search architectures and large language model-based approaches by Molefe, Kgothatso Ishmael

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Stall and spin recovery using optimal trajectory planning by Babl, Martin Ludwig Dietrich

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A highly accessible application for detection and classification of maize foliar diseases from leaf images by Khethisa, Joang Adolf

“…A number of previous studies, utilizing computer vision and machine-learning algorithms, have successfully developed applications that can diagnose crop diseases. …”
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Fault detection for the Benfield process using a closed-loop subspace re-identification approach

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A multi-mode attitude determination and control system for small satellites by Steyn, Willem Hermanus

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Illumination-invariant face skin pigmentation prediction by Mbatha, Success Katlego

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Development of a smart trap for the surveillance of invasive fruit flies using internet of things and artificial intelligence by Deacon, Quintus

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Hyperlink-extended pseudo relevance feedback for improved microblog retrieval by Elganainy, Tarek

“…Moreover, our proposed approach outperformed the best results reported at TREC microblog track for the years 2011, and 2013, which applied more sophisticated algorithms. …”
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Mining a large shopping database to predict where, when, and what consumers will buy next by Halam, Bantu

“…The results showed that there was not much difference between the methods, but some classical methods slightly performed better than the machine learning algorithms, and this was consistent with outcomes obtained by Makridakis et al. (2018) on similar comparisons. …”
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