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Data har många användningsområden inom både forskning och industri. I detta examensarbete skapades en platform som självgående kan användas för att samla in stora mängder data från omgivningen.Everyone who has worked with research knows how rewarding experimenting and developing new algorithms can be. However in some cases, the hard part is not the invention of these algorithms, but their evaluation. To try and make that evaluation easier, this thesis focuses on the collection of data that can be used as positional ground truths using an autonomous measurement platform. This should assi

Low rank structures are present in many applications of computer vision and machine learning. A popular approach consists of explicitly parameterising the set or matrices with sought rank, leading to a bilinear factorisation, reducing the problem to find the bilinear factors. While such an approach can be efficiently implemented using second-order methods, such as Levenberg-Marquardt (LM) or Varia

Vehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and realistic assessment of V2V communication systems. We present a novel geometry-based stochastic MIMO channel model with support for frequencies in the band of 5.2-6.2 G

In this paper, we consider a wireless communication system where a large intelligent surface (LIS) is deployed comprising a number of small and distributed LIS-Units. Each LIS-Unit has a separate signal process unit (SPU) and is connected to a central process unit (CPU) that coordinates the behaviors of all the LIS-Units. With such a LIS system, we consider the user assignments both for sum-rate a

Internet of Things (IoT) is the next generation of network scenario where billions of devices are connected to the internet and capable to communicate with each other. However, they are especially vulnerable to Denial of Service (DoS) attack, which typically launched by overloading the server with bogus messages. Hence, unnecessary computation is performed by the IoT units, which can seriously wor

In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentat

There are several different approaches used to treat prostate cancer, depending on age and general health conditions of the patient but also how severe the cancer is. To determine the latter, Gleason grading is used. The grade is determined by a pathologist, based on structures in histology samples from prostate biopsies. To determine the diagnosis, both the most common Gleason grade but also the

FPGAs play an increasing role in the reconfgurable accelerator landscape. A key challenge in designing FPGA-based systems is partitioning computation between processor cores and FPGAs. An appropriate division of labor is difcult to predict in advance and requires experiments and measurements. When an investigation requires rewriting part of the system in a new language or with a new programming mo

Massive Multiple-Input Multiple-Output (MIMO) communication systems are being investigated intensively for positioning services. Enhancing the accuracy on these services in terms of accurate positioning of users is an important goal to improve related applications in the future. Convolutional Neural Networks (CNNs) has been proposed to infer the position of a user from Channel State Information (C

Line segments are ubiquitous in our human-made world and are increasingly used in vision tasks. They are complementary to feature points thanks to their spatial extent and the structural information they provide. Traditional line detectors based on the image gradient are extremely fast and accurate, but lack robustness in noisy images and challenging conditions. Their learned counterparts are more

Recombinant adeno-associated viral vectors (rAAVs) have become an industry-standard technology in the field of gene therapy, but there are still challenges to be addressed in their biomanufacturing. One of the biggest challenges is the removal of capsid species other than that which contains the gene of interest. In this work, we develop a mechanistic model for the removal of empty capsids—those t

Viktigt att veta inför telefoni­bytet, smidigare rumsbokningar med Copilot och nya säkerhetsråd kring AI‑webbläsare. Bra att veta inför telefoni-bytet 10 marsDen 10 mars 2026 byter universitetet operatör till Telia för telefonitjänster. Här kommer en sammanfattning av det som är viktigast att veta.  Fler detaljer: Byte av telefonitjänst 2026SimkortDet fysiska simkortet, som du har i din mobil, läs

https://www.medarbetarwebben.lu.se/artikel/nytt-om-it-telefoni-byte-smart-funktion-i-outlook-ai-webblasare - 2026-04-24

Vi undersöker hur biologisk mångfald och ekosystemtjänster påverkas av förändringar i markanvändning och klimat. Kunskapen ska bidra till hållbara lösningar för både natur, miljö och människa. En mångfald av djur, växter och organismer, varav flera är hotade på grund av mänsklig påverkan, är inte bara värdefullt för sin egen skull, utan också för vår överlevnad. Utan de viktiga ekosystemtjänster s

https://www.lu.se/forskning/fokusomraden/strategiska-forskningsomraden/biologisk-mangfald-och-ekosystemtjanster - 2026-04-23

1 Report on SASNET An Evaluation commissioned by SASNET March 17th, 2015 Neil Webster and Pamela Price 2 Contents Acronyms ....................................................................................................................................................... 3 Introduction ..............................................................................................................

https://www.sasnet.lu.se/sites/sasnet.lu.se/files/external_evaluation_2015.pdf - 2026-04-25

Many modern office buildings have highly glazed facades. Their energy efficiency and indoor climate is, however, being questioned. Therefore more and more of these buildings are being built with double skin facades, which can provide improvements: a thermal buffer zone, energy savings, wind protection with open windows, fire protection, aesthetics, solar preheating of ventilation air, sound protec

Background: With a trend toward de-escalation of axillary surgery in breast cancer, prediction models incorporating imaging modalities can help reassess the need for surgical axillary staging. Although mammography is routinely performed for breast cancer imaging, its potential in nodal staging remains underutilized. This study aims to employ advancements in deep learning (DL) to comprehensively ev

The accuracy of NOAA AVHRR NDVI maximum value composites can be poor due to interference from several sources, including cloud cover. The objectives of this paper are; 1. to accurately quantify noise in this imagery over Africa using geostatistics, and 2. to test four compositing techniques that may be able to reduce this noise. The nugget of the variogram model is used to compute standardized noi

In response to the pressures of predation, parasitism and competition for limited resources, several groups of (mainly) tropical bees and wasps have independently evolved a nocturnal lifestyle. Like their day-active (diurnal) relatives, these insects possess apposition compound eyes, a relatively light-insensitive eye design that is best suited to vision in bright light. Despite this, nocturnal be

Many industries have benefited from modularisation; while in the architecture, engineering and construction (AEC) industry, the concept of modularisation is associated with dimensional coordination. This has added to an already extensive list of challenges due to market size and the concept of economies of scale in AEC industry, to name but a few. Moreover, there is a myth that the AEC industry is