Property:OneLineSummary
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In this project, we optimize DL models to run efficiently on resource-bounded embedded platforms. +
Multi-pattern electrical stimulator design and development +
The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment, and investigate the challenges and difficulties that are faced to this end +
Using wearable stretch sensors to recognize activities of a user at HINT +
Emergency vehicle movement prediction +
This project is part of an international collaborative project LEAD-AI, which aims to create a capacity-building programme designed to enhance AI skills of both educators and adult learners. +
CSI-Based Positioning in Massive MIMO Systems +
Heating operation is heavily dependent on the specifics of the installation, and understanding this relation is important for improving reliability and energy efficiency +
Designing and assessing attacks against a car-cloud network +
Generate synthetic clinical data to fine-tune models and systematically evaluate privacy leakage risks using advanced attack techniques. +
To identify the key features and functionalities of sustainable food apps in Sweden +
The research analyzes sentiment in social media data related to educational sustainability practices and outcomes in Sweden. +
Analysis of the benefits of JAX (and/or similar solutions) in terms of performance, development time, module reusability, etc. +
Can open source robot simulators serve as starting point for cloud services that support automotive R&D and V&V? +
Evaluation of liveness detection provided by ocr captchas +
Evolutionary generating Behavior Trees for use in multi-agent task-oriented environment. +
This project aims to enhance the architecture of Kolmogorov-Arnold Networks (KANs) by optimizing key components such as loss functions, activation functions, initialization methods, and learning processes to improve their performance and interpretability. +
Provide explanations of AI data-driven poverty predictions in sub-saharan africa +
Research and development of novel XAI methods based on training process information +
Developing explainable models for predicting components failures of Volvo trucks +
