114   Artículos

 
en línea
Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos and Petros Daras    
Recent technological developments have enabled computers to identify and categorize facial expressions to determine a person?s emotional state in an image or a video. This process, called ?Facial Expression Recognition (FER)?, has become one of the most ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Chuang Li, Baoqi Yuan, Chuan Zhang, Qi Yao, Hongxia He, Qingfeng Wang, Jinping Liang, Nan Li, Xu Zhu and Zhongwei Wang    
Potato scab, a global soil-borne disease caused by Streptomyces, is pivotal in developing resistant cultivars due to its complex resistance mechanisms. This study investigates the transcriptomic responses in potato to common scab using resistant variety ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Oksana Kharchenko, Zlatinka Kovacheva and Velin Andonov    
Ensuring noise immunity is one of the main tasks of radio engineering and telecommunication. The main task of signal receiving comes down to the best recovery of useful information from a signal that is destructed during propagation and received together... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Polina C. Tsalgatidou, Anastasia Papageorgiou, Anastasia Boutsika, Michael Chatzidimopoulos, Costas Delis, Dimitrios I. Tsitsigiannis, Epaminondas Paplomatas and Antonios Zambounis    
Brown rot disease caused by Monilinia fructicola is one of the most important peach fruit threats in the world. The use of biological control agents (BCAs), instead of synthetic fungicides, to successfully inhibit postharvest disease development is a cha... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xiangwei Mou, Yongfu Song, Rijun Wang, Yuanbin Tang and Yu Xin    
In the research of Facial Expression Recognition (FER), the inter-class of facial expression data is not evenly distributed, the features extracted by networks are insufficient, and the FER accuracy and speed are relatively low for practical applications... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mei Bie, Huan Xu, Quanle Liu, Yan Gao, Kai Song and Xiangjiu Che    
Facial expression recognition (FER) is an important field in computer vision with many practical applications. However, one of the challenges in FER is dealing with small sample data, where the number of samples available for training machine learning al... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiuwen Lu, Hongying Zhang, Qi Zhang and Xue Han    
Accurate expression interpretation occupies a huge proportion of human-to-human communication. The control of expressions can facilitate more convenient communication between people. Expression recognition technology has also been transformed from relati... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiaxiong Zhou, Jian Li, Yubo Yan, Lei Wu and Hao Xu    
Large-scale facial expression datasets are primarily composed of real-world facial expressions. Expression occlusion and large-angle faces are two important problems affecting the accuracy of expression recognition. Moreover, because facial expression da... ver más
Revista: Information    Formato: Electrónico

 
en línea
Danila Germanese, Sara Colantonio, Marco Del Coco, Pierluigi Carcagnì and Marco Leo    
Computer vision is a powerful tool for healthcare applications since it can provide objective diagnosis and assessment of pathologies, not depending on clinicians? skills and experiences. It can also help speed-up population screening, reducing health ca... ver más
Revista: Information    Formato: Electrónico

 
en línea
Pingshan Liu, Qi Liang and Zhangjing Cai    
Aiming at addressing the inability of traditional web technologies to effectively respond to Winter-Olympics-related user questions containing multiple intentions, this paper explores a multi-model fusion-based multi-intention recognition model BCNBLMATT... ver más
Revista: Applied Sciences    Formato: Electrónico

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