Kategorie: ‘Theses’
Enhancing Spam Email Detection via Sentiment-Modification using LLMs
June 27th, 2024 | by Mehdi Akbari G.
Instruction-Based and Human Feedback-Driven Automation of LLM-Assisted Cybersecurity Playbook Translation into a Standardized, Machine-Readable Format
June 27th, 2024 | by Mehdi Akbari G.
Reasoning-based LLM enhancement for the cybersecurity playbook translation into a standardised format
June 27th, 2024 | by Mehdi Akbari G.
Automating Incident Response for Power Grids: A Playbook-Based Decision-Making Approach
June 7th, 2024 | by Mehdi Akbari G.
Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures
June 6th, 2024 | by Lasse Nitz
An Evaluation of Similarity-Preserving Bloom Encodings in URL-based Phishing Detection
May 28th, 2024 | by Lasse Nitz
Leveraging Large Language Models for Enhanced Decision Support in Home Energy Management
April 25th, 2024 | by Alexander Neumann
Large language models (LLMs) have proven the ability to assist diverse users in conducting a variety of individual tasks via intuitive and natural conversations. This thesis discusses a utilization of LLMs as a tool for informed decision-making in energy investments and operations. One major goal is to transform the way the consumers engage with home energy management systems and reduce expertise-related dependencies.