The contribution of the teaching-learning environment to the development of self-regulation in learning

Get full text
Get full text

Semi-Supervised Transfer Learning for medical images as an alternative to ImageNet Transfer Learning by Nkwentsha, Xolisani

“…These results demonstrate that learning features from unlabelled medical images for transfer learning for medical imaging tasks is more effective than transfer learning from natural images, at least for the problem of pneumonia detection.…”
Get full text

Exploring experiential learning in the context of organisational competitiveness

Get full text

Investigating the use of machine learning to value contingent claims

Get full text

E-learning in universities in Uganda: predictors of successful adoption by Namirembe, Esther

“…Cluster 3 and 6 among lecturers and students respectively were least adopters of e-learning mainly because they were unfamiliar with the university e-learning policy. …”
Get full text

Characterizing the complexity of tabular machine learning classification problems by Erwin, Kyle Harper

Get full text

Student perceptions of blended learning interventions in teaching auditing

Get full text

Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…To address this challenge, this research uses a multidisciplinary approach that combines Machine Learning techniques, remote sensing data, and wildfire science to develop an advanced wildfire prediction system. …”
Get full text

Evaluation of hope, courage, and love of learning as predictors of academic performance by Klue, Chevonne

Get full text

The efficacy of holistic learning strategies in the development of church leaders in Mozambique : an action research approach

Get full text
Get full text

From statistical mechanics to machine learning: effective models for neural activity by Schonfeldt , Abram

“…Maximum entropy models have the appealing property of being the least biased explanation of the available information, in the sense that they maximise the information theoretic entropy. …”
Get full text

The role of features in predictive deep learning models for auditory tuberculosis classification by Knight, Michael Sean

Get full text

Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage

Get full text

Facilitating a learning organization : the case of a small consulting firm by Nthurubele, Abraham Tshosane

Get full text

Towards a disruptive learning model in information systems education: a reflective student-dominant logic perspective by Garbutt, Malcolm

“…The first model is a learning influence model embedded in the second disruptive learning model. …”
Get full text

Machine learning for corporate failure prediction : an empirical study of South African companies by Kornik, Saul

Get full text