Sökning: "Förklarlig AI"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Förklarlig AI.
1. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. LÄS MER
2. XAI-assisted Radio Resource Management: Feature selection and SHAP enhancement
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the fast development of radio technologies, wireless systems have become more convoluted. This complexity, accompanied by an increase of the number of connections, is translated into a need for more parameters to analyse and decisions to take at each instant. LÄS MER
3. Visual mapping in AI interfaces: to establish trust in explainable AI in mammography
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial intelligence (AI) is a broad topic that many researchers and stakeholders want to implement into their daily tasks. There are expectations to implement AI in hospitals, starting with mammography centers. But there is a need to guarantee that it will be efficient and safe to use, and that requires a lot of research. LÄS MER
4. Explainable AI for supporting operators in manufacturing machines maintenance : Evaluating different techniques of explainable AI for a machine learning model that can be used in a manufacturing environment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Monitoring and predicting machine breakdowns are of vital importance in the manufacturing industry. Machine Learning models could be used to improve these breakdown predictions. However, the operators responsible for the machines need to trust and understand the predictions in order to base their decisions on the information. LÄS MER
5. Multivariate analysis of the parameters in a handwritten digit recognition LSTM system
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Throughout this project, we perform a multivariate analysis of the parameters of a long short-term memory (LSTM) system for handwritten digit recognition in order to understand the model’s behaviour. In particular, we are interested in explaining how this behaviour precipitate from its parameters, and what in the network is responsible for the model arriving at a certain decision. LÄS MER