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Visar resultat 1 - 5 av 79 uppsatser som matchar ovanstående sökkriterier.
1. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data
Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesiSammanfattning : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems. SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. LÄS MER
2. Ensuring the Security of PyPI Packages
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package Index, PyPI, to download the specific code packages they want to use. LÄS MER
3. Detecting Lithium Brine in Afghanistan Using Spaceborne Hyperspectral Data
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : The purpose of this thesis is to utilize hyperspectral remote sensing technology for the identification and evaluation of lithium mineral deposits in Afghanistan. Afghanistan boasts unique geological formations with substantial potential for lithium resources beneath its land crust. LÄS MER
4. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. LÄS MER
5. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER