• Reorienting research investments toward under-researched crops for sustainable food systems 

  Munialo, Sussy; Siddique, Kadambot H.M.; Barker, Nigel; Onyango, Cecilia Moraa; Amissah, Jacqueline Naalamle; Wamalwa, Lydia Nanjala; Qwabe, Qinisani; Dougill, Andrew J.; Sibanda, Lindiwe Majele (Wiley, 2024-03)

  The dominance of a few staple crops (maize, rice, and wheat) in most agricultural systems hampers the application of interventions to improve food security and nutrition. Research and development attention has focused on ...
• An investigation of the drivers, adoption and outcomes of sustainable supply chain management practices in supply chain organisations 

  Agigi, Assilah (University of Pretoria, 2023)

  The imperative for firms to embrace sustainable supply chain management (SSCM) practices has become increasingly urgent. Previous studies have indicated that firms adopt SSCM practices differently, some more proactive ...
• Extremophiles in a changing world 

  Cowan, Don A.; Albers, S.V.; Antranikian, G.; Atomi, H.; Averhoff, B.; Basen, M.; Driessen, A.J.M.; Jebbar, M.; Kelman, Z.; Kerou, M.; Littlechild, J.; Müller, V.; Schönheit, P.; Siebers, B.; Vorgias, K. (Springer, 2024-04)

  Extremophiles and their products have been a major focus of research interest for over 40 years. Through this period, studies of these organisms have contributed hugely to many aspects of the fundamental and applied sciences, ...
• Video-based sequential Bayesian homography estimation for soccer field registration 

  Claasen, Paul Johannes; De Villiers, Johan Pieter (Elsevier, 2024-10)

  A novel Bayesian framework is proposed, which explicitly relates the homography of one video frame to the next through an affine transformation while explicitly modelling keypoint uncertainty. The literature has previously ...
• End-to-end automated speech recognition using a character based small scale transformer architecture 

  Loubser, Alexander; De Villiers, Johan Pieter; De Freitas, Allan (Elsevier, 2024-10)

  This study explores the feasibility of constructing a small-scale speech recognition system capable of competing with larger, modern automated speech recognition (ASR) systems in both performance and word error rate (WER). ...

View more