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Academic Articles & Research Papers
Showing 13 of 13 academic articles
Khoa Dang Hoang, Kais Atallah, Kais Atallah • The Journal of Engineering
(2019)
This study presents a rapid sizing technique for interior permanent magnet (IPM) machine in traction application considering saturation effects. It is demonstrated that with limited computing resources, sizing, parameters considering satura...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/joe.2018.8169
Hyewon Park, Yohan Park • Mathematics
(2026)
Fog-based Vehicular Ad Hoc Networks (VANETs) support low-latency services by providing computing resources in close proximity to vehicles, but they also face security threats arising from Fog Node (FN) compromise and advances in quantum com...
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Open Access (DOAJ)
DOI: 10.3390/math14193597
Martin Andersson, Mark Jones, Kurt Valentin Mikkelsen, Fengqi You et al. • Current Opinion in Chemical Engineering
(2021)
Chemical process design has for long been benefiting from computer-aided methods and tools to develop new processes and services that can meet the needs of society. Chemical and biomolecular product design could also benefit from the use of...
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DOI: https://doi.org/10.1016/j.coche.2021.100754
Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports
(2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-63021-y
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, Ross Duncan • Quantum
(2021)
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 "application-motivated" circuit classes for benchmarking: deep (relevant for state preparation in the variational ...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2021-03-22-415
Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks
(2025)
With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...
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Open Access (DOAJ)
DOI: 10.1016/j.dcan.2025.07.003
Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media
(2024)
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
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Open Access (DOAJ)
DOI: 10.5771/2192-4007-2024-1-72
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Liang Lu, Carlos Redondo, Pascual Campoy • Sensors
(2020)
Aerial robots are widely used in search and rescue applications because of their small size and high maneuvering. However, designing an autonomous exploration algorithm is still a challenging and open task, because of the limited payload an...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20226507
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Ahmed Banafa • River Publishers eBooks
(2024)
Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...
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DOI: https://doi.org/10.1201/9781032669182-5
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Cyprien Alexandre, Rodolphe Devillers, David Mouillot, Raphael Seguin et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
Detecting and tracking ships remotely is now required in a wide range of contexts, from military security to illegal immigration control, as well as the management of fisheries and marine protected areas. Among the available methods, radar ...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2024.3437187