Sökning: "öppen källkod"

Visar resultat 6 - 10 av 246 uppsatser innehållade orden öppen källkod.

1. 6. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Enzo Alexander Cording; [2023]
   Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

   Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

3. 7. Security evaluation of the Matrix Server-Server API

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

   Författare :Hîvron Stenhav; [2023]
   Nyckelord :Security; Ethical hacking; Open-Source; Matrix; Penetration testing; Threat modelling; API; Säkerhet; Etisk hackning; Öppen källkod; Matrix; Penetrationstesting; Hotmodellering; API;

   Sammanfattning : This thesis presents a comprehensive security analysis of the Server-Server API of the Matrix protocol, providing a detailed examination of its vulnerabilities and contributing a significant body of knowledge to the cybersecurity field. The research focused exclusively on the Server-Server API of the Matrix protocol. LÄS MER

4. 8. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

   Författare :Axel Valentin Maza; [2023]
   Nyckelord :Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

   Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER

5. 9. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

   Uppsats för yrkesexamina på grundnivå, Försvarshögskolan

   Författare :Carl Zaff; [2023]
   Nyckelord :Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

   Sammanfattning : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. LÄS MER

7. 10. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles

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

   Författare :Somnath Balaji Suresh Kumar; [2023]
   Nyckelord :Hydrobatic AUVs; VO; Stonefish; ORB-SLAM2; VISO2; Hydrobatiska AUV:er; VO; Stonefish; ORB-SLAM2; VISO2;

   Sammanfattning : Hydrobatic Autonomous Underwater Vehicles (AUVs) are underactuated robots that can perform agile maneuvers in challenging underwater environments with high efficiency in speed and range. The challenge lies in localizing and navigating these AUVs particularly for performing manipulation tasks because common sensors such as GPS become very unreliable underwater due to their poor accuracy. LÄS MER