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Artificial intelligence (AI)-assisted code generation is everywhere these days. Undoubtedly, AI will help near-future developers substantially by providing code suggestions and automation. In this application, explainability will be a key quality attribute.
Microstrip patch antennas have become essential in modern communication systems due to their compact size and ease of fabrication. However, their performance is often constrained by narrow bandwidth, low radiation efficiency, and low gain, especially in miniaturized designs. The performance limits of microstrip patch antennas are helpful in understanding and overcoming these challenges. These perf
Background and objective:This study aims to enhance the performance of a closed-loop anesthetic depth control system by fusing noise-corrupted clinical measurements with a non-perfect pharmacological model.Methods:We implement a Kalman filter to constitute a trade-off between model prediction and measurement signal dependence for depth of hypnosis (DoH) control using a previously evaluated PID con
Two-view estimation is a fundamental problem in 3D computer vision, and an important sub-task of multi-view estimation pipelines such as Structure-from-Motion (SfM) and Simultaneous Localization and Mapping (SLAM). In recent years, the main focus in the field has been on keypoint-based methods, where interest points are first detected and matched across the two images, followed by robust estimatio
Understanding and effectively managing Technical Debt (TD) remains a vital challenge in software engineering. While many studies on code-level TD have been published, few illustrate the business impact of low-quality source code. In this study, we combine two publicly available datasets to study the association between code quality on the one hand, and defect count and implementation time on the o
Linear quadratic (LQ) control optimizes a quadratic cost function while following a linear model. It is commercially available in the process industry but often not labeled as such and infrequently used. Froth flotation is a process in the minerals industry that extracts precious metals from a slurry of finely ground rock in consecutive tanks called cells. Flotation cells are often arranged in two
JavaDL ArtifactJavaDL is a language and toolchain for analyzing Java at the source level. JavaDL is based on MetaDL, a variant of Datalog that adds syntactic pattern matching, here specialized to pattern matching on Java.
With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for preoperative lymph node metastasis prediction. Mammograms and clinicopathological data from 1265 cN0 T1-T2 breast cancer patients (primary surge
Cyber-physical systems (CPSs) are often complex and safety-critical, making it both challenging and crucial to ensure that the system's specifications are met. Simulation-based falsification is a practical testing technique for increasing confidence in a CPS's correctness, as it only requires that the system be simulated. Reducing the number of computationally intensive simulations needed for fals
Study region: Lake Vänern, the largest lake in the European Union, located in Sweden. Study focus: The study aimed to develop a spatially complete and temporally continuous lake surface water temperature (LSWT) dataset by fusing satellite remote sensing data with reanalysis products. Five satellite-derived LSWT products, including the Moderate Resolution Imaging Spectroradiometer (MODIS), were eva
New robot applications increasingly require external sensing to accomplish robustness and performance despite the variations and uncertainties that come with the increasing demands on flexibility for manufacturing of customized products. The demands on productivity then require high performance, which for well known feedback-control reasons means short response times from external process event to
This work presents a robotic implementation of Christmas gift wrapping. Handling paper is a challenging task for an industrial robot as it easily tears and folds in unexpected ways. In this application, a dual-arm industrial robot with simple two-finger grippers was used, and the robot was programmed using a standard position-based approach. The wrapping was accomplished with the help of plastic s
Wireless charging of smartphones using inductive wireless power transfer (IWPT) has become very popular. However, the efficiency of IWPT systems can decrease substantially when the transmitting and receiving coils are not closely coupled. One popular approach to mitigate the efficiency degradation is to utilize higher frequency. However, the higher efficiency is only achieved at a specific range o
While Weighted Lasso sparse regression has appealing statistical guarantees that would entail a major real-world impact in finance, genomics, and brain imaging applications, it is typically scarcely adopted due to its complex high-dimensional space composed by thousands of hyperparameters. On the other hand, the latest progress with high-dimensional hyperparameter optimization (HD-HPO) methods for
In embedded computing domains, including the automotive industry, complex functionalities are split across multiple tasks that form task chains. These tasks are functionally dependent and communicate partial computations through shared memory slots based on the Logical Execution Time (LET) paradigm. This paper introduces a model that captures the behavior of a producer-consumer pair of tasks in a
We are currently witnessing the second wave of cloud services that go beyond web storefronts and IT systems, aiming for digitalization of industrial systems. Automation and time-sensitive systems are now taking their first steps toward the cloud. The AORTA project aims to facilitate this transition by providing key technology components needed for real-time services running in the cloud. The ambit
The theme of this issue is infrastructure as code (IaC). This concept typically refers to the application of software engineering practices in managing deployment infrastructure. Moving from physical hardware to virtual machines using configuration files that are way more flexibleâ€Â"and they can be version controlled and distributed. As such, IaC paves the way for automation and DevOps. This col
We study construction problems where multiple robots rearrange stacks of prefabricated blocks to build stable structures. These problems are challenging due to ramifications of actions, true concurrency, and requirements of supportedness of blocks by a surface or a robot and stability of the overall structure at all times. We propose a general elaboration tolerant method to solve a wide range of c
OBJECTIVE: Although injury burden prompts elite athletics (track and field) athletes to engage in injury management, little is known about their health literacy. We investigated musculoskeletal (MS) health literacy in world-leading athletics athletes and associations with prechampionship injury acknowledgement by reduction of training load in different socioeconomic environments.METHODS: Adult and
