Sökning: "Automated classification"

Visar resultat 1 - 5 av 86 avhandlingar innehållade orden Automated classification.

  1. 1. Automated Subject Classification of Textual Documents in the Context of Web-Based Hierarchical Browsing

    Författare :Koraljka Golub; Institutionen för elektro- och informationsteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Dewey Decimal Classification; Engineering Information; hierarchical browsing; controlled vocabularies; thesauri; classification schemes; Automated classification; subject classification; Artificial intelligens; Artificiell intelligens; Library and Information Science;

    Sammanfattning : 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. LÄS MER

  2. 2. Automated subject classification of textual web pages, for browsing

    Författare :Koraljka Golub; Institutionen för elektro- och informationsteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automated classification; subject browsing; structural Web-page elements; Web page classification; document clustering; bibliographic coupling; text categorization; Subject classification;

    Sammanfattning : 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. LÄS MER

  3. 3. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach

    Författare :Alper Idrisoglu; Johan Sanmartin Berglund; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Automated decision-support; Classification; Machine Learning; Voice-affecting disorders; Voice dataset; Voice Features; Chronic Obstructive pulmonary disease COPD ; Tillämpad hälsoteknik; Applied Health Technology;

    Sammanfattning : 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. LÄS MER

  4. 4. Ultrasound Image Analysis for Automated Classification of Atherosclerotic Plaque in the Human Carotid Artery

    Författare :Peter Holdfeldt; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; classification; dynamic programming; carotid artery; Java program; image segmentation; ultrasound images; intima-media thickness; atherosclerotic plaque;

    Sammanfattning : 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. LÄS MER

  5. 5. Automated Malware Detection and Classification Using Supervised Learning

    Författare :Raja Muhammad Khurram Shahzad; Niklas Lavesson; Martin Boldt; Welf Löwe; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Malware Detection; Android Malware; Machine Learning; Static Malware Analysis; Cyber Security; Ensemble learning; Supervised Learning; Feature Selection; Computer Science; Datavetenskap;

    Sammanfattning : 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. LÄS MER