The development of a platform using digitalisation and networked modules for forecasting, planning and management to facilitate long-term success of SMEs in South Africa by Du Plessis, Carl Jan

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Long-term tracking of multiple interacting pedestrians using a single camera by Keaikitse, Advice Seiphemo

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Evolutionary deep learning by Dufourq, Emmanuel

“…Our results reveal that our approach is able to outperform several public and/or commercial text sentiment analysis algorithms using an evolutionary algorithm that learned to encode and extend sentiment lexicons. …”
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Learners' perceptions of learning science in an informal learning environment : a phenomenographic study

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Predictive Maintenance of Wind Turbines: Remaining Useful Life Estimation Using a BPSO-Optimized Attention-Based CNN-BiLSTM Approach by Hawas, Eman Khaled

“…Hence, this study developed a Predictive Maintenance (PdM) framework for wind turbines by estimating the Remaining Useful Life (RUL) of critical wind turbine components using a hybrid Deep Learning (DL) model. …”
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Frequency-domain deconvolution in deep learning by Meyer, Moegamad

“…Encouragingly, the layer demonstrated promising attributes like learning long-range filters and isolating objects from backgrounds effectively. …”
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Reinforcement learning in the Minecraft gaming environment by Reynard, Matthew

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To e-learn or not to e-learn: an investigation into the efficacy, efficiency and effectiveness of converting compulsory staff training from classroom to computer by Rogerson , Christine Fiona Jane

“…This dissertation may be of interest to practitioners or organisations contemplating implementing online training courses, particular those seeking to further their knowledge regarding the efficacy and sustainability of computer-based learning in the workplace. Researchers may be interested in the use of ADR as an effective methodology. …”
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Predicting mergers and acquisitions using machine learning by Beckenstrater, Gordon

“…The performance of algorithms such as random forest, LightGBM, long short-term memory networks (LSTM) and the TabTransformer are evaluated against the baseline. …”
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Reinforcement learning for the control of traffic flow on highways by Schmidt-Dumont, Thorsten

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Learning to teach : communication skills in teacher education by Ekron, Christelle

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Machine Learning with FEARS index: does the inclusion of investor sentiment improve a machine learning model's ability to predict volatility? by James, Andrew Michael

“…The resulting Financial and Economic Attitudes Revealed by Search (FEARS) index is then utilised as a feature to forecast volatility via three different machine learning (ML) techniques, namely the Random Forest, Artificial Neural Network (ANN), and Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) methods. …”
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Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…This research investigates and evaluates machine learning algorithms that can be used for time series prediction. …”
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Feature engineered embeddings for machine learning on molecular data

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

“…However, the adoption of e-learning technology in the said universities is fraught with challenges leading to low level use for instructional purposes. …”
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The culture of learning in Khayelitsha secondary schools: teachers' perspectives by Pager, Devah Iwalani

“…The first part of this thesis locates the culture of learning within a theoretical context, using international literature of school cultures which promote negative attitudes towards learning. …”
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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment by Jordaan, Ruan

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