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Yusuf Brima, Ulf Krumnack, Simone Pika and Gunther Heidemann
Self-supervised learning (SSL) has emerged as a promising paradigm for learning flexible speech representations from unlabeled data. By designing pretext tasks that exploit statistical regularities, SSL models can capture useful representations that are ...
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Maria Inês Conceição, Eusébio Conceição, António Grilo, Meysam Basiri and Hazim Awbi
A greenhouse is used to improve thermal comfort (TC) levels for its occupants in winter conditions using solar radiation, which involves low energy consumption. The aim of this research is the application of unmanned aerial vehicles (UAVs) in the evaluat...
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Tingting Xu, Yinhao Wang, Yueqin Wang, Sijia Bi, Benjin Hu, Fei Hu and Lina Xu
Bacillus thuringiensis is an effective entomopathogen, and its crystal toxin expressed in transgenic crops has been widely used for pest control. However, insect resistance risk is the main threat to the continued successful utility of Bt crops. Several ...
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Alessio Marrone, Maria Cristina Mangano, Alan Deidun, Manuel Berlino and Gianluca Sarà
Habitat fragmentation (HF) is an ecological process, which is potentially also one of the main causes of diversity loss. Many studies have debated the best tools to adopt for assessing the effects of HF. The traditional application of biodiversity metric...
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Luzhi Li, Yuhong Zhao, Jingyu Wang and Chuanting Zhang
Wireless traffic prediction is critical to the intelligent operation of cellular networks, such as load balancing, congestion control, value-added service promotion, etc. However, the BTS data in each region has certain differences and privacy, and centr...
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Jagadhesan Boopal, Lekshmy Sathee, Ramesh Ramasamy, Rakesh Pandey and Viswanathan Chinnusamy
Understanding the component traits determining salt stress tolerance is a major breeding target in wheat. The lack of genetic resources suited to salt-affected regions and the complexity of the traits involved impede progress in breeding salt-tolerant wh...
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Hualong Yan, Yuxin Zhao and Songbo Chen
In this study, a one-dimensional variational algorithm that combines brightness temperatures (BTs), measured by ocean-based microwave radiometers (MWR), with reanalysis data was developed to generate high accuracy temperature profiles. A forward radiativ...
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Valentina Ðordevic, Pavle Milo?evic, Ana Poledica
Pág. 71 - 82
Research Question: This paper investigates into how machine learning can be applied for the purpose of detecting anomalies in the data describing transport component within the cellular network. Motivation: In the field of telecommunications, terabytes o...
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Mohamed Yusuf Hassan and Hasan Arman
Determination of rock tensile strength (TS) is an important task, especially during the initial design stage of engineering applications such as tunneling, slope stability, and foundation. Owing to its simplicity, the Brazilian tensile strength (BTS) tes...
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Ivan Malagoli Lanzoni, Sandro Bartolomei, Rocco Di Michele, Yaodong Gu, Julien S. Baker, Silvia Fantozzi and Matteo Cortesi
The present study aims to assess the position of the racket, and racket height with respect to the floor, during the table tennis top spin stroke. A stereophotogrammetric system (Smart-D, BTS, 8 cameras, 550 Hz) was used to track the table tennis racket ...
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