Sökresultat

This paper evaluates the performance of the Long Short-Term Memory (LSTM) Neural Network for forecasting energy production from combined heat and power (CHP) plants in Stuttgart, Germany. The dataset consists of high frequency time series data and exhibits multiple seasonal patterns. A key challenge addressed in this study is the presence of a systematic reporting delay, where the most recent four

History leaves its marks on the life of a city. As urban landscapes continue to expand and evolve, old industrial sites and urban functions are often left behind, fading into the margins of the contemporary city. This thesis seeks to explore how architecture and public space can breathe new life into these forgotten areas, reactivating them as meaningful parts of the city’s present and future.The

Purpose: The purpose of this study is to explore how consumers navigate and justify their consumption habits while striving for a more sustainable identity. The study examines the internal dilemmas that arise when sustainable values confront the realities of identity expression and social influence. Methodology: A qualitative research approach was adopted, in the form of in-depth interviews, invo

The last decade and a half has seen intense research efforts into metal-halide perovskite (MHP) materials, as researchers have come to appreciate their excellent photo-electrical properties such as good radiative recombination rates and light absorption. As part of these efforts MHP-devices of different morphologies have been developed. Notably the enhanced nanophotonic effects of nanowire (NW) mo

This master thesis presents the development of a vision-based feedback control system for automating sample placement in a virtual neutron beam emulated using a laser. The thesis was carried out on behalf of the European Spallation Source (ESS) to investigate the feasibility, possibilities and limitations of using a robotic automation system for sample alignment. Due to the radioactive research en

This thesis investigates the performance and feasibility of passive and active analog frequency compensation filters for audio signal processing in a distributed speaker system. One passive and one active circuit topology were investigated more thoroughly and then the active filter was realized on a PCB and evaluated with electrical, thermal and acoustic measurements. The work also resulted in tw

Sedan principen om ömsesidigt erkännande först formulerades i Cassis de Dijon-domen 1979 har den utgjort ett centralt inslag i den europeiska rättsordningen, och den fortsätter att spela en avgörande roll för att förverkliga den fria rörlig-heten inom EU:s inre marknad i dag. Även om principens kärna, att varor som lagligen saluförs i en medlemsstat i princip ska få cirkulera fritt i en annan, harEver since its emergence in 1979 in the Cassis de Dijon judgment, the principle of mutual recognition has constituted a central element of the European legal order, and it continues to play a crucial role in realising free movement within the EU’s Internal Market today. Although the core of the principle, that goods lawfully marketed in one Member State should be permitted to circulate freely in a

Background: Non-motor symptoms (NMS) substantially impair quality of life in Parkinson's disease (PD) patients, yet treatment gaps persist. Guideline adherence for NMS management remains poorly characterised. Also, reliable symptom monitoring tools are needed: the Parkinson’s KinetiGraph (PKG) for sleep assessment and the Home Diary (HD) for motor fluctuations both require further validation.Aims:

Modern battery chargers require AC-DC converters with high input power quality, nearly unity power factor, and low current harmonics to meet grid standards such as IEC 61000-3-2. This paper proposes a two-stage charger topology: a front-end bridgeless interleaved boost PFC converter followed by a synchronous buck DC-DC stage. The interleaved boost stage reduces input current ripple and losses whil

Autonomous robots capable of turning natural-language instructions into reliable physical actions remain a central challenge in artificial intelligence. Here we show that connecting a large language model agent to the robot operating system enables a versatile framework for embodied intelligence, and we release the complete implementation as freely available open-source code. The agent automatical

While circular economy (CE) discourse emphasises technology-driven solutions and formal systems, cities in the Global South rely on grassroots waste workers (WWs) in the informal sector, who perform essential circular functions through waste collection, sorting, and recycling. In Delhi, informal WWs contribute substantially to material recovery and fill gaps left by formal solid waste management (

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model

Promoting Inclusion and Justice in University Teaching offers a theoretical and practical contribution to ongoing debates concerning why and how we need to expand the goals of education in an increasingly diverse academia to enhance inclusivity and equity. It integrates a wide range of well-designed teaching activities grounded in the principles of transformative pedagogy into university settings