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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law
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Bioacoustic classification of Hainan gibbon call types using deep learning
Published 2025“…Currently, there has not been any study which attempts to distinguish between the groups. More recently, researchers have begun using deep learning to answer ecological questions, in a similar way that deep learning has successfully been used in computer vision and audio classification tasks. …”
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Word Sense Disambiguation in the domain of Sentiment Analysis through Deep Learning
Published 2023“…It was found that the inclusion of context as a model input, improves the model out of sample performance as compared to a model without context as an input. …”
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A statistical learning approach to response reconstruction for accelerated fatigue testing
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Identifying decision boundaries to explain black-box machine learning predictions
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A deep learning system for x-ray analysis and patient diagnosis
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Improving energy cost savings in a complex dewatering system of a deep-level mine using machine learning
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Support vector machines, generalization bounds, and transduction
Published 2011Subjects: “…Machine learning…”
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Beyond academics - is community engagement possible through work integrated learning?
Published 2016“…To accomplish this four groups of participants were interviewed, each representing a different stage in McCowan's model. These were curriculum developers, work integrated learning lecturers, students from each work integrated learning module and a representative from the chosen NGO. …”
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Utilisation of information and communication technologies in distance learning programmes in Southwest, Nigeria
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Pastoral care in a context of poverty : a search for a Zambian contextual church response
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Advances in iterative learning control with application to structural dynamic response reconstruction
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An Evaluation of student support services in open and distance learning at the University of Namibia
Published 2008“…CES should pay attention to support services that help reduce barriers if it is to attain its mission of making quality higher education more accessible. CES should provide adequate training to tutors to prepare them for the special challenges presented by open and distance learning. …”
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Investigating automated bird detection from webcams using machine learning
Published 2022“…Through the use of transfer learning, all the models were initialized using weights pre-trained on the MS COCO (Microsoft Common Objects in Context) dataset provided by the TensorFlow 2 object detection API. …”
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A hybrid deep learning based algorithm for gamma spectroscopy analysis
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Mobile learning : a professional teacher technical identity development framework
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Pursuing organisational excellence as a key driver in achieving organizational learning
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Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage
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An Enhanced Cloud-Native Deep Learning Pipeline for the Classification of Network Traffic
Published 2023“…We offer a serverless cloud-native approach for data preprocessing, model building (hyperparameter tuning), and model serving. …”
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