Essays about: "information extraction algorithms"

Showing result 1 - 5 of 56 essays containing the words information extraction algorithms.

  1. 1. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    University essay from KTH/Kemi

    Author : Julia Rune; [2023]
    Keywords : Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Abstract : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). READ MORE

  3. 2. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xuechun Lu; [2023]
    Keywords : Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Abstract : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. READ MORE

  4. 3. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Fredrik Salomon-Sörensen; [2023]
    Keywords : Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Abstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE

  5. 4. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

    University essay from

    Author : Rahmat Rohoullah; Månsson Joakim; [2023]
    Keywords : BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

    Abstract : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. READ MORE

  6. 5. Automatic loose gravel condition detection using acoustic observations

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Gionian Kyros; Elias Myrén; [2022]
    Keywords : Sound Classification; Supervised Machine Learning; Gravel roads assessment; SVM; Random Forest; Ensemble of bagged trees; Sound feature extraction;

    Abstract : Evaluation of the road's condition and state is essential for its upkeep, especially when discussing gravel roads, for the following reasons, among other. When loose gravel is not adequately maintained, it can pose a hazard to drivers, who can lose control of their vehicle and cause accidents. READ MORE