22   Artículos

 
en línea
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu    
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaoji Li, Jiemei Huang and Leiming Sun    
With the advancement of underwater communication technology, the traditional modulation dimension has been introduced, developed and utilized. In addition, orbital angular momentum (OAM) is utilized as the modulation dimension for optical underwater comm... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Xiaobin Hong, Liuwei Huang, Shifeng Gong and Guoquan Xiao    
Underwater pipelines are the channels for oil transportation in the sea. In the course of pipeline operation, leakage accidents occur from time to time for natural and man-made reasons which result in economic losses and environmental pollution. To avoid... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Sonain Jamil, MuhibUr Rahman and Amir Haider    
Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital role in preserving biodiversity, ceasing coastal erosion, and promoti... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Nasser Tamim, Mohamed Elshrkawey and Hamed Nassar    
Diabetic retinopathy (DR) and glaucoma can both be incurable if they are not detected early enough. Therefore, ophthalmologists worldwide are striving to detect them by personally screening retinal fundus images. However, this procedure is not only tedio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xinxin Zhen, Shumin Fei, Yinmin Wang and Wei Du    
Visual object tracking is an important research topic in the field of computer vision. Tracking?learning?detection (TLD) decomposes the tracking problem into three modules?tracking, learning, and detection?which provides effective ideas for solving the t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wu Dong, Hongxia Bie, Likun Lu and Yeli Li    
Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the qua... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chinthakindi Balaram Murthy, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde and Zong Woo Geem    
In recent years there has been remarkable progress in one computer vision application area: object detection. One of the most challenging and fundamental problems in object detection is locating a specific object from the multiple objects present in a sc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhiqiang Xu, Yumin Chen, Fan Yang, Tianyou Chu and Hongyan Zhou    
The recognition of postearthquake scenes plays an important role in postearthquake rescue and reconstruction. To overcome the over-reliance on expert visual interpretation and the poor recognition performance of traditional machine learning in postearthq... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Sheng Cai, Pei-Zhong Liu, Yan-Min Luo, Yong-Zhao Du and Jia-Neng Tang    
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis.... ver más
Revista: Algorithms    Formato: Electrónico

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