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The development of deep learning in synthetic aperture radar imagery

Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP (IEEE, 2017-05)
Synthetic aperture radar ship detection using capsule networks

Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP; Mdakane, Lizwe W; Meyer, Rory GV (IEEE, 2018-07)
On safari with TensorFlow: Assisting tourism in rural Southern Africa using machine learning

Butgereit, L; Martinus, Laura JB (IEEE also Curran Associates, 2018-08)
Very deep learning for ship discrimination in synthetic aperture radar imagery

Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP; Mdakane, Lizwe W; Meyer, Rory GV (IEEE, 2016-07)
Reinforcement learning-based computation resource allocation scheme for 5G fog-radio access network

Khumalo, Nosipho N; Oyerinde, O; Mfupe, Luzango P (IEEE, 2020-04)
Machine learning models to predict agile methodology adoption

Hanslo, Ridewaan; Tanner, M (IEEE, 2020-09)
HMM-based speech synthesis system incorporated with language identification for low-resourced languages

Sefara, Tshephisho J; Mokgonyane, TB; Manamela, MJ; Modipa, TI (IEEE, 2019-08)
Employment relations: A data driven analysis of job markets using online job boards and online professional networks

Marivate, Vukosi N; Moorosi, Nyalleng (ACM Digital Library, 2017-08)
Subsidence feature discrimination using deep convolutional neral networks in synthetic aperture radar imagery

Schwegmann, Colin P; Kleynhans, Waldo; Engelbrecht, Jeanine; Mdakane, Lizwe W; Meyer, Rory GV (IEEE, 2017-07)
The contribution of high-performance computing and modelling for industrial development

Sithole, Happy M; Ubbink, Onno (CSIR, 2017-10)

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