Sökning: "Nausheen Saeed"

Hittade 2 avhandlingar innehållade orden Nausheen Saeed.

  1. 1. Automated Gravel Road Condition Assessment : A Case Study of Assessing Loose Gravel using Audio Data

    Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Diala Jomaa; Mirka Kans; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Gravel roads; road maintenance; convolutional neural network CNN ; SVM; decision trees; ensemble bagged trees; GoogLeNet; ResNet50; ResNet18; sound analysis;

    Sammanfattning : Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. LÄS MER

  3. 2. Objective Assessment of Loose Gravel Condition using Machine Learning with Audio-visual Observation

    Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Niklas Lavesson; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gravel road condition assessment; Loose gravel; Sound analysis; Machine learning; Image analysis; Audio analysis; Image and audio data fusion;

    Sammanfattning : A well-maintained road network is essential for sustainable economic development, providing vital transportation routes for goods and services while connecting communities. Sweden's public road network includes a significant portion of gravel roads, particularly cost-effective for less populated areas with lower traffic volumes. LÄS MER