by Lena Tasse | May 3, 2021
PI: Pontus Giselsson (LU). Generative adversarial networks (GANs) are generative networks designed to learn probability distributions of training data. They consist of two deep neural networks with opposite objectives. One network, the generator, generates new fake...
by Lena Tasse | May 3, 2021
PI: Per Runeson (LU). Collaborator: BTH Automated testing (AT) is one of the cornerstones of agile software engineering, with its short development cycles. In continuous integration/deployment (CI/CD) pipelines, AT is a safeguard against software regression due to...
by Lena Tasse | May 3, 2021
PI: Oscar Gustafsson (LiU). Co-PI: Håkan Johansson (LiU). Collaborator: Per Larsson-Edefors (CTH) Optical networks provides a backbone of the contemporary and future communication infrastructure, enabling high-speed interconnection among the myriad of devices...
by Lena Tasse | May 3, 2021
PI: Mats Pettersson (BTH). Collaborators: Hans Hellsten (HH), Fredrik Gustafsson (LiU) Multistatic high-resolution sensing at THz frequencies is the goal of this project, with applications in many areas, such as industry, logistics, health care, and surveillance....
by Lena Tasse | May 3, 2021
PI: Maria Kihl (LU). Co-PIs: Anton Cervin (LU), Karl-Erik Årzén (LU), Anders Robertsson (LU), Emma Fitzgerald (LU), William Tärneberg (LU), Niklas Carlsson (LiU) The proposed project addresses the challenge of realizing highly time-sensitive and mission-critical...
