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Digital forensics supported by machine learning for the detection of online sexual predatory chats
Ngejane, Hombakazi C
;
Eloff, JHP
;
Sefara, Tshephisho J
;
Marivate, VN
(
2021-03
)
The development of deep learning in synthetic aperture radar imagery
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
(
IEEE
,
2017-05
)
Integrating statistical machine learning in a semantic sensor web for proactive monitoring and control
Adeleke, Jude Adekunle
;
Moodley, Deshendran
;
Rens, Gavin
;
Adewumi, AO
(
MDPI AG
,
2017-04
)
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
)
Human dependence on natural resources in rapidly urbanising South African regions
Balbi, S
;
Selomane, O
;
Sitas, Nadia E
;
Blanchard, Ryan
;
Kotzee, Ilse M
;
O’Farrell, Patrick J
;
Villa, F
(
IOP Publishing
,
2019-01
)
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
)
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