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Chandra S Haratua Gultom, R. Madhakomala, Hamidah
Pág. 47 - 65
The purpose of this study is to evaluate the training effectiveness on GITC by applying the four levels Kirkpatrick model consisting of reaction, learning, behavior & Results. This study is cross sectional, primary data was collected through interviews f...
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Hong Sun, Fangquan Yang, Peiwen Zhang and Qingqing Hu
Ensuring training safety is paramount to flight schools. In response to the inadequacy of traditional flight training assessment for comprehensive quantitative evaluation of cadet competency, an initial flight training competency assessment standard base...
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Filippo Morselli, Luca Bedogni, Umberto Mirani, Michele Fantoni and Simone Galasso
The Fourth Industrial Revolution has led to the adoption of novel technologies and methodologies in factories, making these more efficient and productive. Among the new services which are changing industry, there are those based on machine learning algor...
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Wendra Wendra, Sutrisno Sutrisno, Lukmana Lokarjana, Tezza Adriansyah Anwar, Saiful N
Pág. 55 - 58
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Gabriela Torres Delgado and Neil Hernández-Gress
Research professors develop scientific products that impact and benefit society, but their competencies in doing so are rarely evaluated. Therefore, by employing a mixed two-stage sequential design, this study developed a self-assessment model of researc...
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Alicja Winnicka and Karolina Kesik
The blockchain technique is becoming more and more popular due to its advantages such as stability and dispersed nature. This is an idea based on blockchain activity paradigms. Another important field is machine learning, which is increasingly used in pr...
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Aleksandr Alekseev, Leonid Kozhemyakin, Vladislav Nikitin and Julia Bolshakova
This paper aimed to increase accuracy of an Alzheimer?s disease diagnosing function that was obtained in a previous study devoted to application of decision roots to the diagnosis of Alzheimer?s disease. The obtained decision root is a discrete switching...
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Dalu Cao and Guangchen Bai
Owing to the realization of multi-mission adaptability requires more complex mechanical structure, the candidates of future aviation propulsion are confronted with more overall reliability problems than that of the conventional gas turbine engine. This s...
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This paper presents a tradeoff analysis in terms of accuracy and computational cost between different architectures of artificial neural networks for the State of Charge (SOC) estimation of lithium batteries in hybrid and electric vehicles. The considere...
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Siti Kulsum
Pág. 132 - 141
In the National Education System Law Number 20 of 2003 Article 26 paragraph 5 states that "Courses and training are held for the community which requires provision of knowledge, skills, life skills and attitudes to develop themselves, develop a professio...
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Björn Lindenberg, Jonas Nordqvist and Karl-Olof Lindahl
It is well known that ensemble methods often provide enhanced performance in reinforcement learning. In this paper, we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm. Specifically, we ...
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Hanyue Xu, Kah Phooi Seng, Jeremy Smith and Li Minn Ang
In the context of smart cities, the integration of artificial intelligence (AI) and the Internet of Things (IoT) has led to the proliferation of AIoT systems, which handle vast amounts of data to enhance urban infrastructure and services. However, the co...
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Mazen Gazzan and Frederick T. Sheldon
Ransomware attacks have emerged as a significant threat to critical data and systems, extending beyond traditional computers to mobile and IoT/Cyber?Physical Systems. This study addresses the need to detect early ransomware behavior when only limited dat...
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Binghang Lu, Christian Moya and Guang Lin
This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed framework uses the non-dominated sorting genetic algorithm (NSGA-II) to enable traditional stocha...
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Jens Dörpinghaus, David Samray and Robert Helmrich
The German labor market relies heavily on vocational training, retraining, and continuing education. In order to match training seekers with training offers and to make the available data interoperable, we present a novel approach to automatically detect...
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Mikhail A. Ershov, Nikita A. Klimov, Vsevolod D. Savelenko, Ulyana A. Makhova, Nikita O. Burov, Egor V. Karpunin-Ozherovskiy, David R. Aleksanyan, Elena S. Donskaya, Daria Y. Mukhina, Vladimir M. Kapustin, Kirill A. Ovchinnikov, Ekaterina V. Podlesnova and Andrey V. Kleymenov
Aviation gasoline is a fuel for spark-ignition piston internal combustion engines, which are usually used in light aircraft (small aviation and general aviation). This technique is widely used for regional and interregional transportation, for the initia...
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Jiachi Zhao, Jun Li and Lifang Zeng
Birds and experienced glider pilots frequently use atmospheric updrafts for long-distance flight and energy conservation, with harvested energy from updrafts serving as the foundation. Inspired by their common characteristics in autonomous soaring, a rei...
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An?e Mihelic, Toma? Hovelja and Simon Vrhovec
Different activities, artifacts, and roles can be found in the literature on the agile engineering of secure software (AESS). The purpose of this paper is to consolidate them and thus identify key activities, artifacts, and roles that can be employed in ...
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Yunhe Guo, Zijian Jiang, Hanqiao Huang, Hongjia Fan and Weiye Weng
In order to improve the problem of overly relying on situational information, high computational power requirements, and weak adaptability of traditional maneuver methods used by hypersonic vehicles (HV), an intelligent maneuver strategy combining deep r...
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Charalampos Papakonstantinou, Ioannis Daramouskas, Vaios Lappas, Vassilis C. Moulianitis and Vassilis Kostopoulos
This paper addresses the problem of singularity avoidance for a 4-Control Moment Gyroscope (CMG) pyramid cluster, as used for the attitude control of a satellite using machine learning (ML) techniques. A data-set, generated using a heuristic algorithm, r...
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