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The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility
Understanding the trade-off between energy expenditure of carrying large fuel loads and the risk of fuel depletion is imperative to understand the evolution of flight strategies during long-distance animal migration. Global flyways regularly involve sea crossings that may impose flight prolongations on migrating land-birds and thereby reduce their energy reserves and survival prospects. We studied
Inom e-vetenskap använder forskarna datorer och annan digital teknik för att studera komplexa problem som tidigare varit omöjliga att lösa. Framsteg och upptäckter inom området gynnar både vetenskap och samhälle. Ända sedan de första elektroniska räknemaskinerna skapades har datorer och digital information varit viktiga verktyg i forskningen.Idag har användningen av datorer, lagring och nätverk fö
https://www.lu.se/forskning/starka-forskningsmiljoer/strategiska-forskningsomraden/e-vetenskap - 2025-12-23
Lund University Creativity Knowledge Nätverket LUCK (Lund University Creativity Knowledge) syftar till att främja och utveckla kreativitetsforskning med fokus på kreativitetens process, villkor och utveckling inom olika verksamhetsområden, såsom näringsliv, akademi och skola. Nätverket består idag av forskare med olika inriktningar av kreativitetsforskning:Docent Eva Brodin (vetenskapspsykologi oc
https://www.psy.lu.se/forskning/forskningsnatverk/luck-network - 2025-12-23
Kursguide - Course Syllabus • • • Fastställande Kursplanen är fastställd av Styrelsen vid institutionen för psykologi 2013-11-12 att gälla från och med 2014-09-01, höstterminen 2014. Allmänna uppgifter Kursen ges som nätbaserad fristående distanskurs på grundnivå och kan ingå i kandidatexamen med psykologi som huvudämne eller i ett program enligt utbildningsplan. Undervisningsspråk: Svenska Kursen
https://www.psy.lu.se/sites/psy.lu.se/files/psyd01kursplanfastht14.pdf - 2025-12-24
Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 11-03 att gälla från och med 2014-11-04 Litteratur Delkurs 1. Utveckling fram till tonåren (7,5 högskolepoäng) Berk, Laura E. (2012). Infants, Children, and Adolescents, 7 th Ed. Bo
https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteratur_14467_h14.pdf - 2025-12-24
Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 08-15 att gälla från och med 2014-09-01 Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litt
https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteraturfasth14.pdf - 2025-12-24
The ability to encode, imagine, and remember coherent representations of the world is crucial for everyday life and depends on a brain network involving the hippocampal region. Scene construction tasks, which measure spatial coherence, have been shown to be sensitive to hippocampal integrity in amnesic patients. Hippocampal dysfunction has been implicated in posttraumatic stress disorder (PTSD), a
With several upcoming sample return missions, such as the Mars Sample Return Campaign, non-destructive methods will be key to maximizing their scientific output. In this study, we demonstrate that the combination of neutron and X-ray tomography provides an important tool for the characterization of such valuable samples. These methods allow quantitative analyses of internal sample features and als
[Context] The continuous inflow of bug reports is a considerable challenge in large development projects. Inspired by contemporary work on mining software repositories, we designed a prototype bug assignment solution based on machine learning in 2011-2016. The prototype evolved into an internal Ericsson product, TRR, in 2017-2018. TRR’s first bug assignment without human intervention happened in A
Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac
In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and d
This paper presents LuMaMi28, a real-time 28GHz multi-user (MU) multiple-input multiple-output (MIMO) testbed. In this testbed, the base station has 16 transceiver chains with a fully-digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple user equipments (UEs) with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array
High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr
High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The
A central function of human cognition is the ability to perceive, understand, and remember life experiences as meaningful sequences of discrete events. This process, known as event segmentation, allows individuals to spontaneously construct and update event models and has been shown to engage a distributed network of brain regions that transiently increase in activity at event boundaries (e.g., Za
Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib
Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks. Besides, Machine Learning (ML) techniques are foreseen to become an integrated part of 5G NR systems improving radio performance and reducing complexity. In this paper, we investigate ML techniques for positioning using 5G NR fingerprints consisting of uplink channel estimates from the physica
With the growing demand for efficient, safe and sustainable transportation systems, the imperative to design intelligent routing and traffic management solutions within urban settings, requiring minimal data exchange and ensuring scalability, becomes evident. This paper introduces an innovative paradigm for traffic management. By seamlessly integrating machine learning and Autonomous Intersection
When processing radar signals, the target steering vector is generally only partially known, being subject to various forms of errors and mismatches. In this article, we investigate the design of an unimodular transmit sequence that is robust against steering vector mismatches, with the aim of enhancing the performance of a frequency diverse array multiple-input-multiple-output (FDA-MIMO) radar sy
