Sökning: "feature points"

Visar resultat 1 - 5 av 184 uppsatser innehållade orden feature points.

  1. 1. Designing a reactive feedback feature for end-users in web-based media software

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Jessica Dellmar; [2024]
    Nyckelord :User Feedback; End-user involvement; Usability; Design Thinking; User Experience;

    Sammanfattning : Customer feedback is essential for improving a company's products or services and increasing customer satisfaction. Despite its value, user involvement faces many challenges, such as low user motivation and feedback with missing context information. 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. Evaluating intrusion detection points in an end-to-end solution

    Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Lilla Pankaczi; [2023]
    Nyckelord :RFID; Random UID; Mutual Authentication; Scyther;

    Sammanfattning : Evaluating all intrusion detection points in an end-to-end cyber-physical system can be challenging. This master thesis focuses on evaluating the security of the most exposed part of such systems, Radio Frequency Identification (RFID) communication. LÄS MER

  5. 4. Instance segmentation using 2.5D data

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Jonathan Öhrling; [2023]
    Nyckelord :instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

    Sammanfattning : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. LÄS MER

  7. 5. Deep Reinforcement Learning in Games Based on Extracted Features

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emilia Sjögren; Erika Weidenhaijn; [2023]
    Nyckelord :;

    Sammanfattning : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. LÄS MER