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David Wheeler, Lillian Brancalion, Akitomo Kawasaki and Meaghan L. Rourke
The analysis of environmental DNA (eDNA) is a powerful and non-invasive method for monitoring the presence of species in ecosystems. However, ecologists and laboratory staff can find it challenging to use eDNA analysis software effectively due to the unf...
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Soe Thandar Aung, Nobuo Funabiki, Lynn Htet Aung, Safira Adine Kinari, Mustika Mentari and Khaing Hsu Wai
The Flutter framework with Dart programming allows developers to effortlessly build applications for both web and mobile from a single codebase. It enables efficient conversions to native codes for mobile apps and optimized JavaScript for web browsers. S...
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Sotirios Kontogiannis, Myrto Konstantinidou, Vasileios Tsioukas and Christos Pikridas
In viticulture, downy mildew is one of the most common diseases that, if not adequately treated, can diminish production yield. However, the uncontrolled use of pesticides to alleviate its occurrence can pose significant risks for farmers, consumers, and...
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Marek ?imon, Ladislav Huraj and Nicolas Búcik
In the current era of prevailing information technology, the requirement for high availability and reliability of various types of services is critical. This paper focusses on the comparison and analysis of different high-availability solutions for Linux...
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Tomasz Rak
This study aims to identify the most effective input parameters for performance modelling of container-based web systems. We introduce a method using queueing Petri nets to model web system performance for containerized structures, leveraging prior measu...
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Baasanjargal Erdenebat, Bayarjargal Bud, Temuulen Batsuren and Tamás Kozsik
DevOps methodology and tools, which provide standardized ways for continuous integration (CI) and continuous deployment (CD), are invaluable for efficient software development. Current DevOps solutions, however, lack a useful functionality: they do not s...
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Liang Liu, Jiqiu Deng and Yu Tang
The landslide early warning system (LEWS) relies on various models for data processing, prediction, forecasting, and warning level discrimination. The potential different programming implementations and dependencies of these models complicate the deploym...
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Konstantinos Filippou, George Aifantis, George A. Papakostas and George E. Tsekouras
In this paper, we built an automated machine learning (AutoML) pipeline for structure-based learning and hyperparameter optimization purposes. The pipeline consists of three main automated stages. The first carries out the collection and preprocessing of...
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Vangelis Malamas, George Palaiologos, Panayiotis Kotzanikolaou, Mike Burmester and Dimitris Glynos
Although there are several access control systems in the literature for flexible policy management in multi-authority and multi-domain environments, achieving interoperability and scalability, without relying on strong trust assumptions, is still an open...
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Byoung Soo Kim, Sang Hyeop Lee, Ye Rim Lee, Yong Hyun Park and Jongpil Jeong
Manufacturers are expanding their business-process innovation and customized manufacturing to reduce their information technology costs and increase their operational efficiency. Large companies are building enterprise-wide hybrid cloud platforms to furt...
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