Sökning: "examensarbete elektroteknik"
Visar resultat 21 - 25 av 708 uppsatser innehållade orden examensarbete elektroteknik.
21. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. LÄS MER
22. Communication Interfaces for Mobile Battery Energy Storage Applications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the midst of the green energy transition, the need for flexible grid solutions is growing. One of the most desired and suitable flexible solutions are Battery Energy Storage Systems (BESS), in both stationary and mobile applications. LÄS MER
23. Integrating change requests in a CI/CD pipeline
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the advent of DevOps and its success stories, many large firms in the regulatory sector have begun to study more streamlined software deployment strategies. Traceability and change management is vital in these regulated organizations to keep track of when, why, and what was supplied to the production environment at what time. LÄS MER
24. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. LÄS MER
25. Regression with Bayesian Confidence Propagating Neural Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER