Blar i NTNU Open på tidsskrift "Machine Learning with Applications (MLWA)"
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Identifying losers: Automatic identification of growth-stunted salmon in aquaculture using computer vision
(Peer reviewed; Journal article, 2024)During the production of salmonids in aquaculture, it is common to observe growth-stunted individuals. The cause for the so-called “loser fish syndrome” is unclear, which needs further investigation. Here, we present and ... -
Microfluidic droplet detection via region-based and single-pass convolutional neural networks with comparison to conventional image analysis methodologies.
(Peer reviewed; Journal article, 2022)As the complexity of microfluidic experiments and the associated image data volumes scale, traditional feature extraction approaches begin to struggle at both detection and analysis pipeline throughput. Deep-neural networks ... -
Semi-supervised anomaly detection methods for leakage identification in water distribution networks: A comparative study
(Peer reviewed; Journal article, 2023)This study presents a comprehensive evaluation of 10 state of the art semi-supervised anomaly detection (AD) methods for leakage identification in water distribution networks (WDNs). The performances of the semi-supervised ... -
SODRet: Instance retrieval using salient object detection for self-service shopping
(Peer reviewed; Journal article, 2024)Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments ...