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Large Language Models for Printed Circuit Board Test Generation

Testing printed circuit boards (PCBs) is an important part of the production process. The development and generation of tests is however a labour-intensive process that requires expertise and deep understanding of the PCB. As generative Artificial Intelligence in form of Large Language Models (LLMs) as evolved, we explore its use for PCBs test generation. The main question is: for a given design s

Adaptive energy management of Swedish residential buildings using artificial intelligence and reinforcement learning for enhanced climate resilience

As the impact of climate change intensifies, there is an urge to adapt Swedish residential buildings with a special focus on improving their energy efficiency and resilience. In this study, adaptive strategies through Artificial Intelligence and Reinforcement Learning will be provided for the energy management of different Swedish residential buildings. The aim will be the optimization of energy u

Modeling the impact of diverse extreme climate scenarios on residential buildings with renewable energy and storage in cold regions : A techno-economic analysis

In the future, buildings need to be energy resilient to tackle the energy crisis. This article introduces a concept for classifying the energy resilience of buildings in extreme cold and warm weather in Finland during blackouts. It presents a techno-economic comparison between an old and a new single-family building integrated with photovoltaic (PV) systems and batteries, analyzing their resilienc

Aligning Circularity and Climate Goals in Swedish Waste Wood Management

This study examines a policy conflict in Sweden regarding the management of post-consumer waste wood, arising from the conflicting objectives of the European Union’s Waste Framework Directive (WFD) and the Renewable Energy Directive (RED). While the WFD prioritizes material recycling and reuse, Sweden’s current practice, directing approximately 90% of its waste wood to energy recovery through wast

Sustainable desalination of olive mill wastewater via electrodialysis

Electrodialysis (ED) is a membrane-based separation process that exploits the selective migration of ions under the influence of an electrical driving force. It removes ionized species from liquid solutions using alternating cation- and anion-exchange membranes, arranged between two electrodes. When a direct current is applied, cations move toward the cathode and pass through cation exchange membr