28   Artículos

 
en línea
Xiuying Xu, Yingying Gao, Changhao Fu, Jinkai Qiu and Wei Zhang    
The cover of corn stover has a significant effect on the emergence and growth of soybean seedlings. Detecting corn stover covers is crucial for assessing the extent of no-till farming and determining subsidies for stover return; however, challenges such ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Vinod Cheppamkuzhi and Menaka Dharmaraj    
Lung cancer is seen as one of the most common lung diseases. For the patients having symptoms, the presence of lung nodules is checked by using various imaging techniques. Pulmonary nodules are detected in most of the cases having symptoms. But identifyi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, Kritanai Torsri, Peerapong Torteeka, Patcharin Kamsing, Utane Sawangwit, Jose Pena and Montri Jainaen    
Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can cau... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kuntao Hu, Ziqi Xu, Xiufang Wang, Yingyu Wang, Haoran Li and Yibing Zhang    
The color of urban streets plays a crucial role in shaping a city?s image, enhancing street appeal, and optimizing the experience of citizens. Nevertheless, the relationship between street color environment and residents? perceptions has rarely been deep... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Alexandra Nunes and Aníbal Matos    
Nowadays, semantic segmentation is used increasingly often in exploration by underwater robots. For example, it is used in autonomous navigation so that the robot can recognise the elements of its environment during the mission to avoid collisions. Other... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Pir Dino Soomro, Xianping Fu, Muhammad Aslam, Dani Elias Mfungo and Arsalan Ali    
An imperative application of artificial intelligence (AI) techniques is visual object detection, and the methods of visual object detection available currently need highly equipped datasets preserved in a centralized unit. This usually results in high tr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Linda Atika, Siti Nurmaini, Radiyati Umi Partan and Erwin Sukandi    
The heart?s mitral valve is the valve that separates the chambers of the heart between the left atrium and left ventricle. Heart valve disease is a fairly common heart disease, and one type of heart valve disease is mitral regurgitation, which is an abno... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Shuofeng Li, Bing Li, Jin Li, Bin Liu and Xin Li    
At present, rice is generally in a state of dense adhesion and small granular volume during processing, resulting in no effective semantic segmentation method for rice to extract complete rice. Aiming at the above problems, this paper designs a small obj... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yeonghyeon Gu, Zhegao Piao and Seong Joon Yoo    
In magnetic resonance imaging (MRI) segmentation, conventional approaches utilize U-Net models with encoder?decoder structures, segmentation models using vision transformers, or models that combine a vision transformer with an encoder?decoder model struc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenzhuo Zhang, Mingyang Yu, Xiaoxian Chen, Fangliang Zhou, Jie Ren, Haiqing Xu and Shuai Xu    
Deep learning technology, such as fully convolutional networks (FCNs), have shown competitive performance in the automatic extraction of buildings from high-resolution aerial images (HRAIs). However, there are problems of over-segmentation and internal c... ver más
Revista: Buildings    Formato: Electrónico

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