1.239   Artículos

 
en línea
Paolo Fantozzi, Valentina Rotondi, Matteo Rizzolli, Paola Dalla Torre and Maurizio Naldi    
Moral features are essential components of TV series, helping the audience to engage with the story, exploring themes beyond sheer entertainment, reflecting current social issues, and leaving a long-lasting impact on the viewers. Their presence shows thr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Cunxiang Bian, Jinqiang Bai, Guanghe Cheng, Fengqi Hao and Xiyuan Zhao    
Field-road mode classification (FRMC) that identifies ?in-field? and ?on-road? categories for Global Navigation Satellite System (GNSS) trajectory points of agricultural machinery containing geographic information is essential for effective crop improvem... ver más
Revista: ISPRS International Journal of Geo-Information    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
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Puti Yan, Zhen Cao, Jiangbo Peng, Chaobo Yang, Xin Yu, Penghua Qiu, Shanchun Zhang, Minghong Han, Wenbei Liu and Zuo Jiang    
A flame?s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean blowout (LBO) ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Adil Redaoui, Amina Belalia and Kamel Belloulata    
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yanjun Li, Takaaki Yoshimura, Yuto Horima and Hiroyuki Sugimori    
The detection of coronary artery stenosis is one of the most important indicators for the diagnosis of coronary artery disease. However, stenosis in branch vessels is often difficult to detect using computer-aided systems and even radiologists because of... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan    
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Chuanyun Xu, Hang Wang, Yang Zhang, Zheng Zhou and Gang Li    
Few-shot learning refers to training a model with a few labeled data to effectively recognize unseen categories. Recently, numerous approaches have been suggested to improve the extraction of abundant feature information at hierarchical layers or multipl... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ligang Yuan, Jing Liu, Haiyan Chen, Daoming Fang and Wenlu Chen    
Scene taxiing time is an important indicator for assessing the operational efficiency of airports as well as green airports, and it is also a fundamental parameter in flight regularity statistics. The accurate prediction of taxiing time can help decision... ver más
Revista: Aerospace    Formato: Electrónico

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