Essays about: "Product recall"
Showing result 1 - 5 of 32 essays containing the words Product recall.
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1. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
University essay from KTH/Matematisk statistikAbstract : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. READ MORE
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2. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE
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3. Anomaly Detection inCombustion Engines withSound Recognition
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : As a global manufacturer of commercial vehicles, Scania is aiming for delivering high-quality products to its customers. Therefore, testing the produced components before assembling the final product and delivering it to the customer is key. READ MORE
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4. Quantification of DNA Microballs Using Image Processing Techniques
University essay from KTH/Industriell bioteknologiAbstract : I detta examensarbete användes olika bildbehandlingstekniker för detektion och kvantifiering av DNA-mikrobollar, mer specifikt rolling circle amplification-produkter, på mikroskopibilder. Avsikten med detta arbete var att hjälpa Countagen AB utforska pipelines för bildbehandling för sin produkt där de analyserar utfallet av genredigeringsförsök på ett billigare och snabbare sätt än dagens konventionella sekvenseringsmetoder. READ MORE
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5. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Anomaly detection is an important first step of quality control in manufacturing processes. In wooden planks, anomalies such as broken knots and resin pockets can lower the quality of the final product. With the help of machine vision, inspections can be made faster, at higher accuracy, and at a lower cost. READ MORE
