456   Artículos

 
en línea
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... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Dian Hong, Deng Chen, Yanduo Zhang, Huabing Zhou and Liang Xie    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari    
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Andrea D?Ambrosio and Roberto Furfaro    
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Xiaojun Zhang, Zhuo Li, Zheng Wei and Wenxue Gao    
Blasting technology is widely applied in various engineering applications due to its cost-effectiveness and high efficiency, such as in mining, transport infrastructure construction, and building demolition. However, the occurrence of cracking in the rea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
William Villegas-Ch, Angel Jaramillo-Alcázar and Sergio Luján-Mora    
This study evaluated the generation of adversarial examples and the subsequent robustness of an image classification model. The attacks were performed using the Fast Gradient Sign method, the Projected Gradient Descent method, and the Carlini and Wagner ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Qibo Tao, Jiayi Xing, Fansheng Meng, Yaqi Zhang, Xinyu Liu, Shuo Guo, Ye Shan, Shangzhi Zhong, Juan Sun and Yanhua Zhao    
Seed vigor is an important aspect of seed quality. It is critical to predict seed vigor and plant seedling emergence under diverse environmental conditions using the laboratory vigor test. Accordingly, laboratory experiments were conducted to determine t... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Amrutha K, Prabu P and Ramesh Chandra Poonia    
Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communication ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Joanna Kulawik, Mariusz Kubanek and Sebastian Garus    
This research aimed to develop a system for classifying horizontal road signs as correct or with poor visibility. In Poland, road markings are applied by using a specialized white, reflective paint and require periodic repainting. Our developed system is... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Diksha Kumari and Radhey Shyam Anand    
The deaf and hearing-impaired community expresses their emotions, communicates with society, and enhances the interaction between humans and computers using sign language gestures. This work presents a strategy for efficient feature extraction that uses ... ver más
Revista: Applied Sciences    Formato: Electrónico

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