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Xu Wang, Chuanmao Tian
Pág. 33 - 39
AbstractChu Ci is classic traditional Chinese literature. It has been spreading in the western world for more than one hundred years. At present, the dissemination of the gems in traditional Chinese culture is advocated. After a large number of relevant ...
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Hermilo Santiago-Benito , Diana-Margarita Córdova-Esparza , Noé-Alejandro Castro-Sánchez , Teresa García-Ramirez , Julio-Alejandro Romero-González and Juan Terven
This paper introduces a novel method for collecting and translating texts from the Mixtec to the Spanish language. The method comprises four primary steps. First, we collected a Mixtec?Spanish corpus that includes 4568 sentences from educational and reli...
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Christopher Jun Qian Teh, Micheal Drieberg, Khairul Nisak Md Hasan, Abdul Latif Shah and Rizwan Ahmad
The use of photovoltaic (PV) panels in interior spaces is expected to increase due to the proliferation of low-power sensor devices in the IoT domain. PV models are critical for estimating the I?V curves that define their performance at various light int...
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Kara Combs, Adam Moyer and Trevor J. Bihl
Recently, generative artificial intelligence (GAI) has impressed the world with its ability to create text, images, and videos. However, there are still areas in which GAI produces undesirable or unintended results due to being ?uncertain?. Before wider ...
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Candida Duarte Manuel, Carla Rebelo Magalhães, Claudia Maria Huber, Luká? Smerek, Artur Fernandes Costa and José Ribeiro Alves
Translation, adaptation, and validation of instruments for cross-cultural investigation requires a rigorous methodological procedure that should be carefully planned to deliver instruments with adequate reliability and validity. This process was applied ...
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Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
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Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat...
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Xin Tian and Yuan Meng
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha...
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Cristobal Aguilar-Gallardo and Ana Bonora-Centelles
Cell and gene therapies represent promising new treatment options for many diseases, but also face challenges for clinical translation and delivery. Hospital-based GMP facilities enable rapid bench-to-bedside development and patient access but require si...
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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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