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Qualitative study on software application usage and user behaviour at South African Digital Doorway sites
Gush, Kim L
;
De Villiers, MR
(
2011-10
)
Electrospun nylon fibers for the improvement of mechanical properties and for the control of degradation behaviour of poly(lactide)-based composites
Neppalli, R
;
Marega, C
;
Marigo, A
;
Bajgai, MP
;
Kim, HY
;
Ray, Suprakas S
;
Causina, V
(
Cambridge University Press
,
2012-05
)
Bayesian structural equations model for multilevel data with missing responses and missing covariates
Kim, S
;
Das, Sonali
;
Chen, M-H
;
Warren, N
(
International Society for Bayesian Analysis
,
2008-03
)
Software usage in unsupervised digital doorway computing environments in disadvantaged South African communities: Focusing on youthful users
Gush, Kim L
;
De Villiers, MR
(
Commonwealth Youth and Development
,
2011
)
Classification of gap flow regimes in two side-by-side circular cylinders
Atkins, M
;
Dala, L
;
Tongbeum Kim, T
(
2014-02
)
Recent developments of metal oxide based heterostructures for photocatalytic applications towards environmental remediation
Theerthagiri, J
;
Chandrasekaran, S
;
Salla, S
;
Elakkiya, V
;
Senthil, RA
;
Nithyadharseni, Palaniyandy
;
Maiyalagan, T
;
Micheal, K
;
Ayeshamariam, A
;
Valan Arasu, M
;
Al-Dhabi, NA
;
Kim, H
(
Elsevier
,
2018-11
)
An open-source tool-set for meaningful monitoring and visualisation of rural ICT projects
Gush, Kim L
(
IIMC International Information Management Corporation
,
2018-05
)
Bioelectricity generation by natural microflora of septic tank wastewater (STWW) and biodegradation of persistent petrogenic pollutants by basidiomycetes fungi: An integrated microbial fuel cell system
Thulasinathan, B
;
Jayabalan, T
;
Sethupathi, M
;
Kim, W
;
Muniyasamy, Sudhakar
;
Sengottuvelan, N
;
Nainamohamed, S
;
Ponnuchamy, K
;
Alagarsamy, A
(
2021-01
)
AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care
Zodwa, Dlamini, Z
;
Skepu, Amanda
;
Kim, N
;
Mkhabele, M
;
Khanyile, R
;
Molefi, T
;
Mbatha, S
;
Setlai, B
;
Mulaudzi, T
;
Mabongo, M
(
2022-05
)
Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model
Pillay, MT
;
Minakawa, N
;
Kim, Y
;
Kgalane, N
;
Ratnam, JV
;
Behera, SK
;
Hashizume, M
;
Sweijd, Neville A
(
2023-12
)
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