156   Artículos

 
en línea
Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di    
In the context of automatic charging for electric vehicles, collision localization for the end-effector of robots not only serves as a crucial visual complement but also provides essential foundations for subsequent response design. In this scenario, dat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alper Taner, Mahtem Teweldemedhin Mengstu, Kemal Çagatay Selvi, Hüseyin Duran, Ibrahim Gür and Nicoleta Ungureanu    
Having the advantages of speed, suitability and high accuracy, computer vision has been effectively utilized as a non-destructive approach to automatically recognize and classify fruits and vegetables, to meet the increased demand for food quality-sensin... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Peter K. K. Loh, Aloysius Z. Y. Lee and Vivek Balachandran    
The rise in generative Artificial Intelligence (AI) has led to the development of more sophisticated phishing email attacks, as well as an increase in research on using AI to aid the detection of these advanced attacks. Successful phishing email attacks ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Ke Wu, Zhicheng Jia and Qifeng Duan    
Sunscald in kiwifruit, an environmental stress caused by solar radiation during the summer, reduces fruit quality and yields and causes economic losses. The efficient and timely detection of sunscald and similar diseases is a challenging task but helps t... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Cheng-Jian Lin, Chun-Hui Lin and Frank Lin    
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yifei Wang, Yongwei Wang, Hao Hu, Shengnan Zhou and Qinwu Wang    
In order to solve the current problems in domain long text classification tasks, namely, the long length of a document, which makes it difficult for the model to capture key information, and the lack of expert domain knowledge, which leads to insufficien... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mayra Salcedo-Gonzalez, Julio Suarez-Paez, Manuel Esteve and Carlos Enrique Palau    
This article presents the development of a geo-visualization tool, which provides police officers or any other type of law enforcement officer with the ability to conduct the spatiotemporal predictive geo-visualization of criminal activities in short and... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wei Liu, Junxing Cao, Jiachun You and Haibo Wang    
Vector decomposition of P- and S-wave modes from elastic seismic wavefields is a key step in elastic reverse-time migration (ERTM) to effectively improve the multi-wave imaging accuracy. Most previously developed methods based on the apparent velocities ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ghizlane Hnini, Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy and Hamid Tairi    
Spammers have created a new kind of electronic mail (e-mail) called image-based spam to bypass text-based spam filters. Unfortunately, these images contain harmful links that can infect the user?s computer system and take a long time to be deleted, which... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu    
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga... ver más
Revista: Water    Formato: Electrónico

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