Property:OneLineSummary
From ISLAB/CAISR
Jump to navigationJump to searchI
In this project students will work on network data and try to detect malicious behavior using ensemble deep network. +
This master thesis project aims at characterizing sensitivity to classification of images (based on deep neural networks). +
Investigating depression signs among older adults using Swedish National Registry Data +
Investigation of spread spectrum techniques to reduce the electromagnetic interference in switch mode power supply +
The goal of the project is to investigate spread-spectrum-based PWM techniques to reduce the EMI in motor drivers caused by the SMPS +
To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level +
J
Exploring climate change data using machine learning and deep learning +
K
Knowledge graphs in Healthcare +
Investigae the use of KG in healthcare applications +
L
Wide angle images are logged during a warehouse exploration. Design of a detection and localization method for barcodes (and/or labels) in the scope, based on such an acquisition is desired. +
This proposal outlines research into applying LLMs for advanced fault analysis and prediction within V2X communication systems. The study will involve analyzing public datasets, developing novel datasets for specific V2X scenarios. +
The student will investigate the potential of LLMs to simplify clinical note annotation along with uncertainty estimation, contributing to improved healthcare data management. +
In this project, the candidate is supposed to implement various filtering algorithm to denoise 3D LiDAR point cloud data. +
Lighting up the bicycle roads with drones +
Lightweight foundation model for time series classification +
M
Learning shared representation using multitask learning on a vehicle-related data +
Machine Learning and LeadTime Prediction +
Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses +
Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses +
The project should be able to detect the difference between the current exercise and a reference version of the exercise. +
Evaluating Machine Unlearning Faithfulness in Deep Neural Networks using Explainable AI +
investigating the parallelisation and mapping of Sampling Frequency Offset algorithms +
