Search for dissertations about: "Moudud Alam"

Showing result 1 - 5 of 7 swedish dissertations containing the words Moudud Alam.

  2. 1. Feasible computation of generalized linear mixed models with application to credit risk modelling

    Author : Md. Moudud Alam; Göran Boström; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Credit risk; cluster correlation; GLMM; large data; two-step pseudo likelihood estimation; defaults contagion; predictive likelihood; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Statistics; Statistik; Statistics; Statistik; Complex Systems – Microdata Analysis;

    Abstract : This thesis deals with developing and testing feasible computational procedures to facilitate the estimation of and carry out the prediction with the generalized linear mixed model (GLMM) with a scope of applying them to large data sets. The work of this thesis is motivated from an issue arising incredit risk modelling. READ MORE

  4. 2. Who benefits when IKEA enters local markets in Sweden? : An empirical assessment using difference-in-difference analysis, synthetic control methods, and Twitter sentiment analysis

    Author : Yujiao Li; Mark Dougherty; Hasan Fleyeh; Moudud Alam; Oana Mihaescu; Per Johansson; Högskolan Dalarna; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; big-box entry effect; spatial spill-over effect; heterogeneous causal effect; difference-in-difference; synthetic control method; sentiment analysis.; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Abstract : Policy makers often spend considerable amounts of money to attract IKEA to their region despite not having any empirical measurements on its expected contribution to the local economy. As such, an empirical study of the economic and social impact of new IKEA stores can aid political decision making, and contribute to the literature regarding how big-box retail entry affects the regions where they enter. READ MORE

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

    Author : Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Diala Jomaa; Mirka Kans; Högskolan Dalarna; []
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 4. Objective Assessment of Loose Gravel Condition using Machine Learning with Audio-visual Observation

    Author : Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Niklas Lavesson; Högskolan Dalarna; []
    Keywords : 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;

    Abstract : 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. READ MORE

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

    Author : Roxan Saleh; Hasan Fleyeh; Moudud Alam; Arend Hintze; Darko Babic; Högskolan Dalarna; []
    Keywords : 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;

    Abstract : 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. READ MORE