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A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape scale heterogeneity

The energy balance at most surface-atmosphere flux research sites remains unclosed. The mechanisms underlying the discrepancy between measured energy inputs and outputs across the global FLUXNET tower network are still under debate. Recent reviews have identified exchange processes and turbulent motions at large spatial and temporal scales in heterogeneous landscapes as the primary cause of the la

An unbiased approach to compressed sensing

In compressed sensing a sparse vector is approximately retrieved from an underdetermined equation system Ax = b. Exact retrievalwouldmean solving a large combinatorial problem which is well known to be NP-hard. For b of the form Ax0 + ϵ, where x0 is the ground truth and ϵ is noise, the 'oracle solution' is the one you get if you a priori know the support of x0, and is the best solution one could h

Stability Analysis of Transportation Networks with Multiscale Driver Decisions

Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of nonatomic indistinguishable drivers commuting between a common origin-destination pair in an acyclic transportation network. The drivers' route choices are affected b

CLI-DOS : Collaborative Counteraction against Denial of Service in the Internet of Things

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

Differentiable fixed-rank regularisation using bilinear parameterisation

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

Docforia: A Multilayer Document Model

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

COSM30 Literature 2023

Microsoft Word - 8655F43796B93E8662A613C2DCC1C3EE.docx COSM30 Data Collection and Analysis Literature List Course director and main teacher: Nicholas Loubere Total Pages: 807 Required Reading List Bryman, Alan. 2016. Social Research Methods. Oxford: Oxford University Press. 5th ed. Chapters 7, 8, 9, 10, 11, 12, 23, 26, and 27. • Number of pages: 198 • Price: 487 kr Crawford, Gordon, Lena J. Krucke

https://www.ace.lu.se/sites/ace.lu.se/files/2023-05/COSM30_Literature_2023.pdf - 2026-05-06

Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN

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

Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems

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

DeepLSD : Line Segment Detection and Refinement with Deep Image Gradients

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

Mechanistic modeling of empty-full separation in recombinant adeno-associated virus production using anion-exchange membrane chromatography

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

The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections

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

User Assignment with Distributed Large Intelligent Surface (LIS) Systems

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

Challenges and solutions for antennas in Vehicle-to-Everything services

Autonomous vehicle is being developed for widespread deployment. Its reliability and safety are critically dependent on advanced wireless technologies, e.g., vehicle-to-everything (V2X) communication. The frontend of a V2X system needs an antenna module that enables the vehicle to reliably connect to all other networks. Designing V2X antenna is challenging due to the complex in-vehicle environment

Auto-Partitioning Heterogeneous Task-Parallel Programs with StreamBlocks

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

A Platform for Indoor Localisation, Mapping, and Data Collection using an Autonomous Vehicle

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

The energy performance of glazed office buildings with double skin facades - BESTFACADE

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

Iiiee client exercise report 2019

The Time is Now Accelerating Local Solutions for Global Change IIIEE SSC-REPORT 2019 | LUND UNIVERSITY 20 19 ED IT IO N Cover image from Canva. This publication should be cited as: International Institute for Industrial Environmental Economics [IIIEE]. (2019). The time is now. Accelerating local solutions for global change. Lund: IIIEE. ISBN 978-91-87357-52-7 Destinations Nur-Sultan, Kazakhstan Ka

https://www.iiiee.lu.se/sites/iiiee.lu.se/files/iiiee_client_exercise_report_2019.pdf - 2026-05-06

Stop multitasking – get better focus

Our brains function best when they get to focus on one thing at a time. The science on this is clear. When we force the brain to do multiple things simultaneously, it takes revenge by doing a bad job. The problem is that most of us don’t notice this because we are so used to a split focus. It might feel like an efficient solution to check your email while listening to a lecture or to read course l

https://www.campusonline.lu.se/en/studying-digitally/stop-multitasking-get-better-focus - 2026-05-05

Claudio D'onofrio

Projektkoordinator Kontaktinformation E-post: claudio [dot] donofrio [at] mgeo [dot] lu [dot] se Telefon: +46 46 222 86 96 Mobil: +46 72 210 83 01Organisation Miljö- och geovetenskapliga institutionen (MGeo) Besöksadress: Sölvegatan12, Lund Rumsnummer: 286 Hämtställe: 16 WebbplatsClaudio D'onofrios profil i Lunds universitets forskningsportalAndra roller Projektkoordinator Institutionen för naturg

https://www.nateko.lu.se/sv/claudio-donofrio - 2026-05-05