Essays about: "data augmentation"

Showing result 31 - 35 of 179 essays containing the words data augmentation.

1. 31. Token Budget Minimisation of Large Language Model based Program Repair

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

   Author : Dávid Hidvégi; [2023]
   Keywords : Automated Program Repair; Conversational; Prompt Engineering; Automatiserad programreparation; Konversationell; Prompt-utformning;

   Abstract : Automated Program Repair (APR) is gaining popularity in the field of software engineering. APR reduces the time and effort needed to find and fix software bugs, with a goal of completely automating bug fixing without any human input. READ MORE

3. 32. System for augmented video with Unreal Engine

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Gustaf Söderholm; [2023]
   Keywords : Unreal Engine; Gstreamer; Video Streaming; Augmented Video; Video Injection; Video Overlay;

   Abstract : Video and body cameras are increasingly used by operational personnel, such as first responders, to improve situational awareness and safety of operations. However, to attain the full potential of video applications in this domain, operators need support to find the relevant information in the multiple video streams sent from the accident site. READ MORE

4. 33. Test Case Selection from Test Specifications using Natural Language Processing

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Alok Gupta; [2023]
   Keywords : Cloud RAN; Telecommunication; Test Automation; Artificial Intelligence; Machine Learning; Natural Language Processing; Keyword Extraction; Prediction;

   Abstract : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. READ MORE

5. 34. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Osama Mahmudi; Shubhra Mishra; [2023]
   Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

   Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

6. 35. Can Large Language Models Enhance Fake News Detection? : Improving Fake News Detection With Data Augmentation

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

   Author : Emil Ahlbäck; Max Dougly; [2023]
   Keywords : ;

   Abstract : In recent years, the proliferation of fake news has become a significant concern due to its potential to cause harm and sow discord in societies worldwide. To address this issue, machine learning techniques have been employed in a task referred to as fake news detection (FND) to assess the veracity of textual news content. READ MORE