Search for dissertations about: "Automated classification"
Showing result 1 - 5 of 86 swedish dissertations containing the words Automated classification.
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1. Automated Subject Classification of Textual Documents in the Context of Web-Based Hierarchical Browsing
Abstract : With the exponential growth of the World Wide Web, automated subject classification has become a major research issue. Organizing web pages into a hierarchical structure for subject browsing has been gaining more recognition as an important tool in information-seeking processes. READ MORE
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2. Automated subject classification of textual web pages, for browsing
Abstract : With the exponential growth of the World Wide Web, automated subject classification of Web pages has become a major research issue in information and computer sciences. Organizing Web pages into a hierarchical structure for subject browsing is gaining more recognition as an important tool in information-seeking processes. READ MORE
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3. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach
Abstract : Background: Advancements in machine learning (ML) techniques and voice technology offer the potential to harness voice as a new tool for developing decision-support tools in healthcare for the benefit of both healthcare providers and patients. Motivated by technological breakthroughs and the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, numerous studies aim to investigate the diagnostic potential of ML algorithms in the context of voice-affecting disorders. READ MORE
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4. Ultrasound Image Analysis for Automated Classification of Atherosclerotic Plaque in the Human Carotid Artery
Abstract : Cardiovascular diseases, caused by atherosclerosis, is one of the most common causes of death in the industrialized world. Two risk factors, that both can be assessed with ultrasound, are the Intima-Media Thickness (IMT) in the arterial wall and the composition of the atherosclerotic plaque. READ MORE
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5. Automated Malware Detection and Classification Using Supervised Learning
Abstract : Malware has been one of the key concerns for Information Technology security researchers for decades. Every year, anti-malware companies release alarming statistics suggesting a continuous increase in the number and types of malware. READ MORE