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With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. However, the resource constraints of edge devices require more efficient data processing techniques. Near-memory computing (NMC) presents an efficient solution, especially for data-intensive applications, by enabling processing that is both energy-efficient and har
A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un
We introduce Thalassa, a framework designed to convert nonlinear systems of partial differential equations (PDEs) with a time-like component into tensor programs that solve these equations. These programs can run on GPUs as well as machine learning (ML) acceleration hardware, enabling scientific computing fields such as computational fluid dynamics, astrophysics, mechanics and biology to utilize a
In order to avoid extensive machine learning models selection and optimizations, Automated Machine Learning (AutoML) has arisen as a practical and efficient way to apply machine learning to many different application areas. Data poisoning is a real threat to the accuracy of machine learning models in different settings, and it has in recent research studies been shown that the usage of AutoML can
Characteristic Mode analysis is a widely used technique in antenna design, providing insight into the fundamental electromagnetic behavior of radiating structures. In this paper, we establish fundamental bounds on the slope of characteristic mode eigenvalues and angles, demonstrating that their rate of change is subject to fundamental constraints for all possible realizations within a given design
We study dynamical optimal transport of discrete time systems (dDOT) with Lagrangian cost. The problem is approached by combining optimal control and Kantorovich duality theory. Based on the derived solution, a first order splitting algorithm is proposed for numerical implementation. While solving partial differential equations is often required in the continuous time case, a salient feature of ou
I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom workshops, strävar efter att skapa ett mer omfattande stöd utanför vården, I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom samskapande workshops, strävar efter att skapa ett mer omfattande stöd utan
The growing use of 5G networks for critical services makes them vulnerable to Distributed Denial of Service (DDoS) attacks. While numerous Machine Learning (ML)-based approaches have been proposed, the real-world deployability of these models remains understudied. This work presents what is, based on existing literature, the first simulation-driven methodology to evaluate both the transferability
Code Language Model (code-LM)-based vulnerability detection for C/C++ faces a substantial challenge. Previous research has shown that even though it is better than any prior machine learning approach, it still struggles to generalize well, as shown by the low F1 score. Prior works treated the problem as a binary classification: either vulnerable or non-vulnerable. Looking deeper at the various vul
Extended Reality (XR) serves as a broad term that encompasses several immersive technologies, including Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR). Currently, most XR devices are connected by cables, which restrict user mobility and negatively impact the overall Quality of Experience (QoE) for users. XR devices face limitations not only in terms of connectivity but also i
Beijing is particularly prone to frequent wintertime haze episodes. In this study, we introduce the FLEXPART (FLEXible PARTicle dispersion model) and SOSAA (the model to Simulate the concentration of Organic vapors, Sulfuric Acid, and Aerosols) modeling system for air quality analysis and applied the newly developed modeling system to a severe pollution episode during a case study in Beijing in No
Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within
Remembering everyday events involves noticing what different experiences share and preserving the details that set them apart, yet the neural processes supporting this balance remain unclear. Here, we record EEG while participants view naturalistic movie scenes that introduce episodic events with overlapping elements. Using time-resolved representational similarity analysis, we find that these eve
BACKGROUND AND OBJECTIVE: A post hoc analysis of TITAN evaluated the clinical benefit of apalutamide plus androgen-deprivation therapy (ADT) versus ADT alone in metastatic hormone-sensitive prostate cancer (mHSPC) with high disease burden. METHODS: Patients were assessed in subgroups of those with four to fewer than ten, ten to <20, or ≥20 bone metastases; with lung but not liver metastases; and w
This study investigates the neural encoding of speech features in hearing aid users using electroencephalography (EEG) during a simulated cocktail party scenario. The objective was to investigate neural tracking of various acoustic and linguistic features and how hearing aid noise reduction influenced this tracking. The features analyzed included the acoustic envelope, phonetic features, word onse
The 2021 edition of Lund Architecture Symposium (LAS21) will address the emergence of transformatory practices in architecture.The pressing contemporary challenges in global discourse require architects to dissolve – even obliterate – the conventional boundaries between design and implementation. These transformatory practices combine multiple skills from various industries to advance the conjavas
For many years, car antennas of various applications are co-integrated into the roof-mounted “shark fin” module. More recently, both hidden antennas and full glass roofs are becoming trendy in the car industry. Taken together, they point to the integration of car antennas into glass roof being an attractive car antenna solution. However, such a solution is challenging to realize due to the roof gl
Caseundervisning i Hbg_AA_mod LTHs 9:e Pedagogiska Inspirationskonferens, 15 december 2016 Abstract — I denna session kommer ett konkret exempel på case-undervisning att presenteras och diskuteras. Undervisningsupplägget är ett exempel på hur lärare kan utnyttja fall ur sin egen forskning 1) för att studenterna ska lära sig kursens huvudsakliga generella koncept och 2) för att studenterna ska öva
https://www.lth.se/fileadmin/lth/genombrottet/konferens2016/23_Ahlberg.pdf - 2026-05-08
