Sökning: "Thesis computer information"

Visar resultat 1 - 5 av 853 uppsatser innehållade orden Thesis computer information.

1. 1. Probabilistic Exact Inversion of 2-qubit Bipartite Unitary Operations using Local Operations and Classical Communication

   Master-uppsats, KTH/Fysik

   Författare :Ludvig Lindström; [2024]
   Nyckelord :Resource Theory; Resource theory of entanglement; Quantum Information Theory; Quantum Computing; Distributed Quantum Computing; Higher-order quantum transformation; Quantum Algorithms; Quantum Physics; Resursteori; Resursteori för Kvantsammanflätning; Kvantinformationsteori; Kvantdatorer; Distribuerade kvantdatorer; Högre ordningens kvanttransformationer; Kvantalgoritmer; Kvantfysik;

   Sammanfattning : A distributed quantum computer holds the potential to emulate a larger quantumcomputer by being partitioned it into smaller modules where local operations (LO)can be applied, and classical communication (CC) can be utilized between thesemodules. Finding algorithms under LOCC restrictions is crucial for leveraging thecapabilities of distributed quantum computing, This thesis explores probabilisticexact LOCC supermaps, that maps 2-qubit bipartite unitary operations to its inver-sion and complex conjugation. LÄS MER

3. 2. Ensuring the Security of PyPI Packages

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :David Shakoori Gustafsson; [2023-10-23]
   Nyckelord :Computer science; Security; Python; PyPI; Typosquatting;

   Sammanfattning : 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

4. 3. An Empirical Survey of Bandits in an Industrial Recommender System Setting

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
   Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

   Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER

5. 4. Analyzing the performance of active learning strategies on machine learning problems

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Vendela Werner; [2023]
   Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

7. 5. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Marcus Ascard; Farjam Movahedi; [2023]
   Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

   Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER