Blar i HVL Open på emneord "machine learning"

Viser treff 1-8 av 8

    • A Survey on Urban Traffic Anomalies Detection Algorithms 

      Djenouri, Youcef; Belhadi, Asma; Lin, Chun Wei; Djenouri, Djamel; Cano, Alberto (Journal article; Peer reviewed, 2019)
      This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ...

    • An overview of deep learning in medical imaging focusing on MRI 

      Lundervold, Alexander Selvikvåg; Lundervold, Arvid (Journal article; Peer reviewed, 2018)
      What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started ...

    • Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks 

      Ucar, Ferhat; Cordova, Jose; Alcin, Omer F.; Dandil, Besir; Ata, Fikret; Arghandeh, Reza (Journal article; Peer reviewed, 2019)
      This paper presents a novel method for online power quality data analysis in transmission networks using a machine learning-based classifier. The proposed classifier has a bundle structure based on the enhanced version of ...

    • Detection of linear features including bone and skin areas in ultrasound images of joints. 

      Bak, Artur; Segen, Jakub; Wereszczynski, Kamil; Pawel, Mielnik; Fojcik, Marcin; Kulbacki, Marek (Journal article; Peer reviewed, 2018)
      Identifying the separate parts in ultrasound images such as bone and skin plays a crucial role in the synovitis detection task. This paper presents a detector of bone and skin regions in the form of a classifier which is ...

    • Development of an E-mental Health Infrastructure for Supporting Interoperability and Data Analysis 

      Rabbi, Fazle; Lamo, Yngve (Journal article; Peer reviewed, 2019)
      Digital technology plays an increasingly important role in addressing the challenges faced by health and care services such as rising costs, changing demographics, shortage of healthcare professionals. eHealth is the use ...

    • An IoT-based Hedge System for Solar Power Generation 

      Syu, Jia-Hao; Wu, Mu-En; Srivastava, Gautam; Chao, Chi-Fang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small ...

    • A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Aleem, Muhammad (Peer reviewed; Journal article, 2020)
      Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, i.e., CPUs and GPUs. If the application is mapped to an appropriate processing core, then these architectures provide many performance ...

    • PARMOREL: Personalized and automatic repair of models using reinforcement learning 

      Barriga Rodriguez, Angela (Doctoral thesis, 2021)
      In model-driven software engineering, models are used in all phases of the development process. These models must hold a high quality since the implementation of the systems they represent relies on them. Models may get ...