Essays about: "Klassificerare"
Showing result 11 - 15 of 149 essays containing the word Klassificerare.
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11. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE
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12. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. READ MORE
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13. 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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14. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE
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15. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. READ MORE
