39   Artículos

 
en línea
Zhiyong Yang, Feng Xiong, Yaoyao Pei, Zhi Chen, Chuanhai Zhan, Enjie Hu and Guanghao Zhang    
The identification of stay cable icing is crucial for robot deicing to improve efficiency and prevent damage to stay cables. Therefore, it is significant to identify the areas and degree of icing in the images of stay cables. This study proposed a two-st... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haidi Badr, Nayer Wanas and Magda Fayek    
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Georgios Karantaidis and Constantine Kotropoulos    
The detection of computer-generated (CG) multimedia content has become of utmost importance due to the advances in digital image processing and computer graphics. Realistic CG images could be used for fraudulent purposes due to the deceiving recognition ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yichao Xu, Yufeng Zhang and Jian Zhang    
Over the past few decades, rapid economic development has led to the establishment of numerous monitoring systems, resulting in the accumulation of vast amounts of monitoring data. Among these data, dynamic acceleration data stand out prominently. Howeve... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lihong Zhang, Chaolong Liu and Nan Jia    
Multimodal emotion classification (MEC) has been extensively studied in human?computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yanmin Chen, Xiu Li, Mei Jia, Jiuliang Li, Tianyang Hu and Jun Luo    
In order to achieve accurate segmentation of each grape image per berry, we construct a dataset composed of red globe grape samples and use a two-stage ?localization?segmentation? framework-based mask region convolutional neural network (Mask R-CNN) and ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hong Li, Bo Wan, Deping Chu, Run Wang, Guoxi Ma, Jinming Fu and Zhuocheng Xiao    
Three-dimensional geological modeling is a process of interpreting geological features from limited sample data and making predictions, which can be converted into a classification task for grid units in the geological space. In sedimentary settings, it ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Pinyang Zhang and Changzheng Chen    
In the operation and maintenance of planetary gearboxes, the growth of monitoring data is often faster than its analysis and classification. Careful data analysis is generally considered to require more expertise. Rendering the machine learning algorithm... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hongpo Zhang, Bo Zhang, Lulu Huang, Zhaozhe Zhang and Haizhaoyang Huang    
Internet of Things (IoT) devices and services provide convenience but face serious security threats. The network intrusion detection system is vital in ensuring the security of the IoT environment. In the IoT environment, we propose a novel two-stage int... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hilmil Pradana    
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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