Essays about: "statistical classifiers"
Showing result 1 - 5 of 39 essays containing the words statistical classifiers.
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1. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. READ MORE
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2. Development of a Digital Coaching Application with Automated Mistake Identification using a Multi-Sensor Configuration
University essay from KTH/Medicinteknik och hälsosystemAbstract : Home-based exercise is a popular physical activity of maintaining fitness, health andwellness in general. However, without proper supervision and basic knowledge of theexercises in the workout plan, there is an increased risk of injury. READ MORE
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3. Comparing Ensemble Methods with Individual Classifiers in Machine Learning for Diabetes Detection
University essay from KTH/DatavetenskapAbstract : Diabetes is a common disease that is characterized by several health markers. These markers can be used in machine learning to help predict the presence of diabetes in an individual. READ MORE
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4. Identification and network analysis of candidate microRNA biomarkers in neuroblastoma : A meta-analysis
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Neuroblastoma constitutes roughly 8% of all childhood cancers where 95% of all neuroblastoma cases occur before the age of 10. The survival rate of infants and young children is very poor, which alone contributes to research novel biomarkers for classification methods, improved diagnosis and better anti-tumor therapies. READ MORE
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5. Presence detection by means of RF waveform classification
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This master thesis investigates the possibility to automatically label and classify radio waves for presence detection, where the objective is to obtain information about the number of people in a room based on channel estimates. Labeling data for machine learning is time consuming and tedious process. To address this two approaches are evaluated. READ MORE