Sökning: "Gradual improvement"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Gradual improvement.

1. 1. A Panel Data Approach of Determining Factors of Economic Growth for Different IncomeGroups of Countries.

   Magister-uppsats, Södertörns högskola/Nationalekonomi

   Författare :Nahian Bin Abdullah; [2022]
   Nyckelord :Panel Data; Economic Growth; Income Groups of Countries;

   Sammanfattning : Objectives: The main objectives of the study include, to identify whether there is any direct impact of labor, capital/investment, technological advancement and institutional quality on economic growth; understanding the marginal effect of capital and technological advancement for different levels of institutional quality; determining how these relationships vary on the group of countries based on their income groups – poorer to richer. Method: Panel data for the period 2006–2020 and 40 countries was considered for the analysis. LÄS MER

3. 2. A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Omar Zia Toor; [2022]
   Nyckelord :Internal Combustion Engine; Deep Reinforcement Learning; Machine Learning;

   Sammanfattning : Machine learning (ML) has experienced immense growth in the last decade; applications of ML are found in nearly every sphere of society. We gather a vast amount of data during our day-to-day operations, and the machines use this data to make intelligent decisions for us. Transport is an essential part of our life. LÄS MER

4. 3. Semantic Scene Segmentation using RGB-D & LRF fusion

   Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

   Författare :Harald Lilja; [2020]
   Nyckelord :RGB-D; LiDAR; CNN; deep multimodal fusion; robotics; autonomous vehicles;

   Sammanfattning : In the field of robotics and autonomous vehicles, the use of RGB-D data and LiDAR sensors is a popular practice for applications such as SLAM[14], object classification[19] and scene understanding[5]. This thesis explores the problem of semantic segmentation using deep multimodal fusion of LRF and depth data. LÄS MER

5. 4. Betydelsen av kunskap och kompetens vid vård av multisjuka äldre med långvarig smärta : Ur sjuksköterskans perspektiv

   Magister-uppsats, Högskolan i Borås/Akademin för vård, arbetsliv och välfärd

   Författare :Renata Bedyk; Anna Lind; [2020]
   Nyckelord :complex long-term pain; pain management; experience of care; specialist nurse; långvarig smärta som komplexitet; smärtbehandling; upplevelse av vård; specialistsjuksköterskor;

   Sammanfattning : Sjuksköterskor har lång erfarenhet av att möta och vårda multisjuka äldre som lever och lider av långvarig smärta. Smärtan kan visas som symtom orsakad av otillräckligt eller ej adekvat behandling. Det resulterar i en gradvis funktionsnedsättning både fysiskt och psykiskt hos multisjuka äldre. LÄS MER

7. 5. Automatic Generation of Descriptive Features for Predicting Vehicle Faults

   Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

   Författare :Vandan Revanur; Ayodeji Ayibiowu; [2020]
   Nyckelord :Dimensionality Reduction; Autoencoder; Artificial Neural Network; Embeddings; Powertrain; Predictive Maintenance;

   Sammanfattning : Predictive Maintenance (PM) has been increasingly adopted in the Automotive industry, in the recent decades along with conventional approaches such as the Preventive Maintenance and Diagnostic/Corrective Maintenance, since it provides many advantages to estimate the failure before the actual occurrence proactively, and also being adaptive to the present status of the vehicle, in turn allowing flexible maintenance schedules for efficient repair or replacing of faulty components. PM necessitates the storage and analysis of large amounts of sensor data. LÄS MER