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Jairo Fuentes, Jose Aguilar, Edwin Montoya and Ángel Pinto
In this paper, we propose autonomous cycles of data analysis tasks for the automation of the production chains aimed to improve the productivity of Micro, Small and Medium Enterprises (MSMEs) in the context of agroindustry. In the autonomous cycles of da...
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Yuhan Li, Shuguang Zhang, Ruichen He and Florian Holzapfel
Urban Air Mobility (UAM) has emerged in response to increasing traffic demands. As UAM involves commercial flights in complex urban areas, well-established automation technologies are critical to ensure a safe, accessible, and reliable flight. However, t...
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Sanjay Nambiar, Anan Ashrabi Ananno, Herman Titus, Anton Wiberg and Mehdi Tarkian
In the quest to enhance the efficiency of gas turbines, there is a growing demand for innovative solutions to optimize high-pressure turbine blade cooling. However, the traditional methods for achieving this optimization are known for their complexity an...
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Qian Zhang, Chang Liu, Wenhui Zhu and Shiqi Mei
Given the challenges of innovation and adaptation to change, Construction 4.0 (C4.0) is triggering a revolution within construction and industry firms from automation to a greater level of digitalization. Despite the plethora of advantages and growing re...
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Beata Baziak, Marek Bodziony and Robert Szczepanek
Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat...
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Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
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Mai Xin, Zhifeng Ye, Tong Zhang and Xiong Pan
After many years of development, the technology of analyzing the working condition of power units based on vibration signals has received relatively stable applications, but the accuracy and the degree of automation and intelligence for fault diagnosis a...
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João Nobre, E. J. Solteiro Pires and Arsénio Reis
Currently, distributed software systems have evolved at an unprecedented pace. Modern software-quality requirements are high and require significant staff support and effort. This study investigates the use of a supervised machine learning model, a Multi...
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Bhanu Watawana and Mats Isaksson
Vertical farming has been proposed as a solution for diminishing arable land as it significantly reduces the footprint of farming. Most contemporary solutions use a low level of automation; however, automation of vertical farming is currently attracting ...
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José Brás, Ruben Pereira and Sérgio Moro
Robotic process automation and intelligent process automation have gained a foothold in the automation of business processes, using blocks of software (bots). These agents interact with systems through interfaces, replacing human intervention with the ai...
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