Essays about: "Binär Klassificering"
Showing result 1 - 5 of 36 essays containing the words Binär Klassificering.
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1. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. READ MORE
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2. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. READ MORE
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3. Quality Assuring an Image Data Pipeline with Transfer Learning : Using Computer Vision Methodologies
University essay from Uppsala universitet/Avdelningen Vi3Abstract : The computer vision field has taken big steps forwards and the amount of models and datasets that are being released is increasing. A large number of contemporary models are the result of extensive training sessions on massive datasets, reflecting a significant investment of time and computational resources. READ MORE
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4. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE
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5. Detecting gastrointestinal abnormalities with binary classification of the Kvasir-Capsule dataset : A TensorFlow deep learning study
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The early discovery of gastrointestinal (GI) disorders can significantly decrease the fatality rate of severe afflictions. Video capsule endoscopy (VCE) is a technique that produces an eight hour long recording of the GI tract that needs to be manually reviewed. READ MORE