|
|
|
|
|
Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fei Xie, Dalong Zhang and Chengming Liu
Transformer models are now widely used for speech processing tasks due to their powerful sequence modeling capabilities. Previous work determined an efficient way to model speaker embeddings using the Transformer model by combining transformers with conv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nuttee Thungsuk, Narong Mungkung, Thaweesak Tanaram, Arckarakit Chaithanakulwat, Somchai Arunrungsusmi, Wittawat Poonthong, Apidat Songruk, Khanchai Tunlasakun, Chalathip Chunkul, Tanes Tanitteerapan, Toshifumi Yuji and Hiroyuki Kinoshita
This study used the Area Elimination Method (AEM) of transformer design with transformer characteristic simulation. The multidimensional variable of physical parameters such as magnetic density, current density, voltage and coil turn was performed. This ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Brandon Cortés-Caicedo, Oscar Danilo Montoya and Andrés Arias-Londoño
In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals. This problem is represented through a nonlinear pro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello and Marco La Cascia
Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection....
ver más
|
|
|
|
|
|
|
|
|
|
|
Teerapong Panboonyuen, Sittinun Thongbai, Weerachai Wongweeranimit, Phisan Santitamnont, Kittiwan Suphan and Chaiyut Charoenphon
Due to the various sizes of each object, such as kilometer stones, detection is still a challenge, and it directly impacts the accuracy of these object counts. Transformers have demonstrated impressive results in various natural language processing (NLP)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hua Yang, Teresa Gonçalves, Paulo Quaresma, Renata Vieira, Rute Veladas, Cátia Sousa Pinto, João Oliveira, Maria Cortes Ferreira, Jéssica Morais, Ana Raquel Pereira, Nuno Fernandes and Carolina Gonçalves
SNS24, the Portuguese National Health Contact Center, is a telephone and digital public service that provides clinical services. SNS24 plays an important role in the identification of users? clinical situations according to their symptoms. Currently, the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruska Kattel, Bhupendra Devkota
Pág. 16 - 29
Transformer is the crucial part in any electrical system, however there are many risks associated with its use. Thus this study was focused on assessing the status of PCBs contamination and distribution of transformers in Distribution Centre-North of the...
ver más
|
|
|
|
|
|
|
|
|
|
|
David Lionel Bernal-Romero, Oscar Danilo Montoya and Andres Arias-Londoño
The problem of the optimal reactive power flow in transmission systems is addressed in this research from the point of view of combinatorial optimization. A discrete-continuous version of the Chu & Beasley genetic algorithm (CBGA) is proposed to mode...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kamalaselvan Arunachalam, Balasubramanian Madanmohan, Rajesh Rajamani, Natarajan Prabaharan, Hassan Haes Alhelou and Pierluigi Siano
The Frequency Response Analysis approach (FRA) is useful in the fault diagnosis of transformers. However, its usefulness in diagnosing any potential sources of Partial Discharge (PD) in transformers has not been thoroughly investigated so far. In this wo...
ver más
|
|
|
|
|
|