Essays about: "klassificering"
Showing result 21 - 25 of 538 essays containing the word klassificering.
-
21. 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
-
22. 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
-
23. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE
-
24. Determining Important Features for Melanoma Classification Through Feature Selection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. READ MORE
-
25. Neural Network-Based Residential Water End-Use Disaggregation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. READ MORE