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Classifying news articles based on user needs using transfer learning and deep neural networks: a multi-class approach combining BERT with non-textual features
(2023)
This thesis describes the procedure for developing a machine learning model that can categorise news articles based on audience insight experts' assessments of user needs. This study aims to determine if it's possible to ...
Berry Density Estimation With Deep Learning: estimating Density of Bilberry and Lingonberry Harvest with Object Detection
(2022)
Currently, yield estimation of berry harvest is done manually by calculating berries in a predefined area. Manual counting is labour intensive and thus, the data created lacks scope. This thesis studied the method to ...