Sökning: "Hasan Fleyeh"

Visar resultat 6 - 9 av 9 avhandlingar innehållade orden Hasan Fleyeh.

  1. 6. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring

    Författare :Hamidur Rahman; Mobyen Uddin Ahmed; Shahina Begum; Peter Funk; Hasan Fleyeh; Mälardalens högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Driver Monitoring; Artificial Intelligence; Machine Learning; Deep Learning; Computer Science; datavetenskap;

    Sammanfattning : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. LÄS MER

  3. 7. Analysis of Retroreflection and other Properties of Road Signs

    Författare :Roxan Saleh; Hasan Fleyeh; Darko Babić; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Road traffic signs; retroreflective sheeting material; night-time visibility; supervised machine learning; principal component analysis; prediction; linear regression;

    Sammanfattning : Road traffic signs provide regulatory, warning, guidance, and other important information to road users to prevent hazards and road accidents. Therefore, the traffic signs must be detectable, legible, and visible both in day and nighttime to fulfill their purpose. The nighttime visibility is critical to safe driving on the roads at night. LÄS MER

  4. 8. Towards Smart Maintenance : Machine-Learning Based Prediction of Retroreflectivity and Color of Road Traffic Signs

    Författare :Roxan Saleh; Hasan Fleyeh; Moudud Alam; Arend Hintze; Darko Babic; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Road traffic signs; Retroreflectivity; Chromaticity; Maintenance; Predictive models; classification; Survival analysis; Kaplan Estimator; Machine Learning;

    Sammanfattning : Proper maintenance of road traffic signs is vital for safety, as their low visibility can cause accidents and fatalities. Many countries, including Sweden, lack a systematic approach for replacing signs due to the risky, costly, and complex methods needed to measure their color and retroreflectivity. LÄS MER

  5. 9. Applications of artificial neural networks for time series data analysis in energy domain

    Författare :Fan Zhang; Hasan Fleyeh; Stawomir Nowaczyk; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deregulated energy market; electricity prices; district heating; energy efficiency; neural networks; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. LÄS MER