Edge computing is an emerging paradigm within the field of distributed computing, aimed at bringing data processing capabilities closer to the data-generating sources to enable real-time processing and reduce latency. However, the lack of representative data in the literature poses a significant challenge for evaluating the effectiveness of new algorithms and techniques developed for this paradigm. A ...

The present work attempts to evaluate the performance of an automotive diesel engine run on waste cooking oil biodiesel (WCO) blend at variable engine speeds. The composition of the blend (B40) used in the study is 40% WCO and 60% diesel by volume and the engine used for the experimentation is a naturally aspirated, watercooled and direct injection type having a compression ratio of 18:1. The ...

The overall objective of the General Data Protection Regulation (GDPR)1 is two-fold: To contribute to the protection of privacy and personal data and to promote the free flow of personal data within the protected area2 through uniform regulations and homogenized interpretations of those regulations.<p> <p>If a controller or processor in the protected area (the exporter) transfers personal data ...

The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this article, we demonstrate the use of a machine learning-aided segmentation and analysis pipeline for the quantification of mitochondrial morphology in ...

Annotated clinical text corpora are essential for machine learning studies that model and predict care processes and disease progression. However, few studies describe the necessary experimental design of the annotation guideline and annotation phases. This makes replication, reuse, and adoption challenging. Using clinical questions about sepsis, we designed a semantic annotation guideline to ...

Background: Today’s diabetes-oriented telemedicine systems can gather and analyze many parameters like blood glucose levels, carbohydrate intake, insulin doses, and physical activity levels (steps). Information collected can be presented to patients in a variety of graphical outputs. Despite the availability of several technical means, a large percentage of patients do not reach the goals established ...

Type 1 diabetes is a chronic disease that causes significant challenges for the patient and their parents, affecting them physically and mentally. Approximately 450 children are diagnosed with type 1 diabetes in Norway yearly, necessitating lifelong self-management of their blood glucose levels. Early knowledge acquisition is crucial to improving the patient's prognosis and self-management skills. ...

Modern fishing vessels have a wide range of instruments and sensors on board that are used for active fishing operations, with sonar equipment and echo sounders being among the most common. Sonar allows horizontal observation of the water column, while echo sounders provide more precise underwater environment monitoring. These instruments are useful as they are used today but require a lot of user ...

Rapid technological progress has recently eliminated the necessity of physically deploying humans for manual underwater ship inspections. Instead, Remotely Operated Vehicles (ROVs) can now capture and record videos, which humans can subsequently review. By leveraging annotated data, it becomes possible to train deep learning models to assist in data exploration. Nevertheless, the process of manually ...

The Norwegian fishing industry faces a significant issue of fishery crimes, with product traceability systems presenting a potential solution to counter these illegal activities. Current supply chain management in the seafood industry is vulnerable to information alterations, thereby complicating product traceability. Blockchain technology, with its unique properties, offers an interesting approach ...