Sökning: "classification systems"

Visar resultat 6 - 10 av 473 avhandlingar innehållade orden classification systems.

  1. 6. Realizing High Performance NFV Service Chains

    Författare :Georgios P. Katsikas; Dejan Kostic; Gerald Maguire Jr.; Fabian Schneider; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NFV; service chains; profiler; scheduling; multiplexing; synthesis; line-rate; 40 Gbps; NFV; service kedjor; profilering; planläggningsstrategier; syntetiserade; 40 Gbps; Informations- och kommunikationsteknik; Information and Communication Technology; Computer Science; Datalogi;

    Sammanfattning : Network functions (NFs) hold a key role in networks, offering in-network services, such as enhanced performance, policy enforcement, and security. Traditionally, NFs have been implemented in specialized, thus expensive hardware. LÄS MER

  3. 7. Characterisation of Nonlinear Structural Dynamic Systems in Conceptual Design

    Författare :Niclas S Andersson; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Structural dynamics; Model order reduction; Nonlinear characterisation; Multi-body dynamics; Frequency response functions; Multisines; Response classification; Driveline systems; Concept design analysis; Stepped-sine; Support vector machine;

    Sammanfattning : The engine and driveline systems of passenger cars generates and distributes the necessary driving power and are major contributors to vehicle emissions, noise and vibrations, etc. More environmental friendly technologies under development are expected to intensify and add new comfort related problems, since most of them affect vibration sources or system damping. LÄS MER

  4. 8. Sensors and Algorithms in Industry 4.0 : Security and Health Preservation Applications

    Författare :Dawid Gradolewski; Wlodek Kulesza; Sven Johansson; Alberto Rodriguez-Martinez; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Acoustic Sensor; Artificial Intelligence; Autonomisation; Classification; Detection; Feature Extraction; Health Preservation; Identification; Internet of Things; Machine Learning; Multi-Sensor System; Safety System; Vision System; Systemteknik; Systems Engineering;

    Sammanfattning : Globalisation and technological digitisation have triggered an Industry 4.0. revolution.  The core of this revolution is autonomisation of complex processes, which require expert knowledge. LÄS MER

  5. 9. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches

    Författare :Damian Dziak; Wlodek Kulesza; Darius Andriukaitis; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Assessment; Behavior Recognition; Classification; Design Methodology; Detection; Indoor Localization; Internet of Things; Multi-Sensor System; Skills Assessment; Outdoor Localization; Wireless Sensor Network; Applied Signal Processing; Tillämpad signalbehandling;

    Sammanfattning : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. LÄS MER

  7. 10. 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