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Design problems in aerospace engineering often require numerous evaluations of expensive-to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required suc
Distributed massive multiple-input multiple-output (MIMO) communication is envisioned as one of the key paradigms of future MIMO systems. To investigate non-wide-sense stationarities (non-WSSs) in distributed massive MIMO channels, this paper first presents an indoor channel measurement campaign, where distributed arrays with a total of 128 elements were implemented. Then relying on the correlatio
Achieving the dual goals of increasing visual comfort and well-being in the built environment while minimizing resource demand is a significant challenge. Since 2023, Subtask D “Case Studies” of IEA SHC Task 70 / EBC Annex 90 “Low Carbon, High Comfort Integrated Lighting,” has been addressing this challenge head-on. Subtask D aims to advance the wide-scale adoption of environmentally performing da
An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improvi
This review examines the hidden and invisible labor humans perform to enable robots to function as agents within Human-Robot Interaction (HRI). While robot agency is often framed as internal and autonomous, this perspective overlooks the relational dynamics that sustain robot functionality in real-world settings. Drawing on feminist theory, the review highlights how humans frequently share the res
https://www.msf-malmo.lu.se/calender-2025-01-16 - 2025-07-07
Instruction and Exemple Instruction and example Enter data in cell on sheet Summary annual time. On the sheet for single months, enter number of hours and activity in areas marked with an ellipse in example: Table Optional is not mandatory but can serve as support for the memory Timesheet, Lund University - H2020 framework Employee: Anders Andersson Typ of personnel: Senior Staff Beneficiary: Lund
Instruction and Exemple Instruction and example Enter data in cell on sheet Summary annual time. On the sheet for single months, enter acronym, work package and number of hours in areas marked with an ellipse in example, Other activities and absence is optional: Timesheet, Lund University - H2020 and Horizon Europe Employee: Researcher Typ of personnel: Senior Staff Beneficiary: Lund University Ac
https://www.ai.lu.se/2025-04-23/poster - 2025-07-07
