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Icuk Rangga Bawono,Ratno Purnomo
Pág. 181 - 190
Previous studies only focused on antecedent factors of transfer of training and only a few of them focused on the consequence factors. The main objectives of this research were to examine the antecedents and consequence of transfer of training. The antec...
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Kang Cao, Yongjie Zhang and Jianfei Feng
As aviation technology advances, numerous new aircraft enter the market. These not only offer airlines technological and fuel efficiency advantages but also present the challenge of how to conduct pilots? aircraft-type transition training efficiently and...
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Joon Woo Yoo, Jun Sung Park and Hee Jun Park
The use of virtual reality as a safety training technology is gaining attention in the construction industry. While current studies focus mainly on the development of VR-based safety training programs, studies focusing on improving its effectiveness is s...
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Zhigang Song, Daisong Li, Zhongyou Chen and Wenqin Yang
The unsupervised domain-adaptive vehicle re-identification approach aims to transfer knowledge from a labeled source domain to an unlabeled target domain; however, there are knowledge differences between the target domain and the source domain. To mitiga...
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Keke Tamara Fahira,Nurzahroh Lailyah,Tina Rahayu
Pág. 185 - 204
Organizational succession can be determined by stable and significant work performance. The low work performance of employees due to the quality of training transfers that are less than optimal is the reason for this study. This study aims to analyze the...
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Hui Tao, Jun He, Quanjie Cao and Lei Zhang
Domain adaptation is critical to transfer the invaluable source domain knowledge to the target domain. In this paper, for a particular visual attention model, saying hard attention, we consider to adapt the learned hard attention to the unlabeled target ...
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Dorota Zelechowska, Justyna Sarzynska and Edward Necka
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Monique Strauss-Keevy
AbstractThe Competency Framework of the South African Institute of Chartered Accountants (SAICA) details specific competencies, but also places emphasis on the pervasive skills that need to be attained by candidates in order to qualify as South African c...
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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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Dmitry Ponkin
Pág. 18 - 29
The article studies the concept and technologies of pre-trained language models in the context of knowledge engineering. The author substantiates the relevance of the issue of the existence of internalized and implicit knowledge, extracted from text corp...
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Yuntian Feng, Guoliang Wang, Zhipeng Liu, Runming Feng, Xiang Chen and Ning Tai
Aiming at the current problem that it is difficult to deal with an unknown radar emitter in the radar emitter identification process, we propose an unknown radar emitter identification method based on semi-supervised and transfer learning. Firstly, we co...
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Chang-Min Lee, Hee-Joo Jang and Byung-Gun Jung
As the development of autonomous ships is underway in the maritime industry, the automation of ship spare part management has become an important issue. However, there has been little development of dedicated devices or applications for ships. This study...
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Ilias Theodorakopoulos, Foteini Fotopoulou and George Economou
In this work, we propose a mechanism for knowledge transfer between Convolutional Neural Networks via the geometric regularization of local features produced by the activations of convolutional layers. We formulate appropriate loss functions, driving a ?...
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Barath Narayanan Narayanan, Russell C. Hardie, Vignesh Krishnaraja, Christina Karam and Venkata Salini Priyamvada Davuluru
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities similar to viral pneumonia. A Computer-Aided Detection (CAD) system for the dete...
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Linkai Peng, Yingming Gao, Rian Bao, Ya Li and Jinsong Zhang
As an indispensable module of computer-aided pronunciation training (CAPT) systems, mispronunciation detection and diagnosis (MDD) techniques have attracted a lot of attention from academia and industry over the past decade. To train robust MDD models, t...
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Dickson Mdhlalose
Pág. 55 - 62
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Shayan Taheri, Milad Salem and Jiann-Shiun Yuan
In this work, we propose ShallowDeepNet, a novel system architecture that includes a shallow and a deep neural network. The shallow neural network has the duty of data preprocessing and generating adversarial samples. The deep neural network has the duty...
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Chunhua Zhu, Jiarui Liang and Fei Zhou
Stemming from the overlap of objects and undertraining due to few samples, road dense object detection is confronted with poor object identification performance and the inability to recognize edge objects. Based on this, one transfer learning-based YOLOv...
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Zhe-Wei Zhou, Hui-Ya Yang, Bei-Xiu Xu, Yu-Hung Ting, Shia-Chung Chen and Wen-Ren Jong
For a long time, the traditional injection molding industry has faced challenges in improving production efficiency and product quality. With advancements in Computer-Aided Engineering (CAE) technology, many factors that could lead to product defects hav...
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Mary E. Donohue
The ?Opportunity Gap? and the ?Skills Gap? have been the focus of conferences this year. Solutions have been proposed, but none has aligned technology with the cultural capital that exists within an organization to close the gaps. Cultural capital is the...
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