Essays about: "upptäcka"

Showing result 1 - 5 of 952 essays containing the word upptäcka.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Author : Love Kildetoft; [2024]
    Keywords : Fluorescence; Imaging; Indocyanine-green; ICG; Esophageal cancer; Physics; Photonics; Image Analysis; Blood Perfusion; Anastomotic leakage; Anastomotic insufficiency; Physics and Astronomy;

    Abstract : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. READ MORE

  4. 3. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  5. 4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ivan Baheux; [2023]
    Keywords : Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

    Abstract : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. READ MORE

  6. 5. Nested Noun Phrase Detection in English Text with BERT

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shweta Misra; [2023]
    Keywords : Phrase detection; nested noun phrase identification; phrase structure identification; sentence parsing; transformer models; machine learning; natural language processing; Frasdetektering; kapslad substantivfrasidentifiering; frasstrukturidentifiering; meningsanalys; transformers-modeller; maskininlärning; naturlig språkbehandling;

    Abstract : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. READ MORE