296   Artículos

 
en línea
Guy Austern, Tanya Bloch and Yael Abulafia    
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Zhao Xiong and Jiang Wu    
Malaria is one of the major global health threats. Microscopic examination has been designated as the ?gold standard? for malaria detection by the World Health Organization. However, it heavily relies on the experience of doctors, resulting in long diagn... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yishen Lin, Zifan Huang, Yun Liang, Yunfan Liu and Weipeng Jiang    
Citrus fruits hold pivotal positions within the agricultural sector. Accurate yield estimation for citrus fruits is crucial in orchard management, especially when facing challenges of fruit occlusion due to dense foliage or overlapping fruits. This study... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xinyi Meng and Daofeng Li    
The explosive growth of malware targeting Android devices has resulted in the demand for the acquisition and integration of comprehensive information to enable effective, robust, and user-friendly malware detection. In response to this challenge, this pa... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Liufeng Tao, Kai Ma, Miao Tian, Zhenyang Hui, Shuai Zheng, Junjie Liu, Zhong Xie and Qinjun Qiu    
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matc... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi    
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan    
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Carlos Novaes and Rui Cunha Marques    
Policies, Institutions and Regulation (PIR) aspects matter for different sectors? growth and inclusive sustainable development, but there is little information in the literature on how to evaluate the effects of PIR on management options and outcomes or,... ver más
Revista: Water    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
Zhichao Chen, Guoqiang Wang, Tao Lv and Xu Zhang    
Diseases of tomato leaves can seriously damage crop yield and financial rewards. The timely and accurate detection of tomato diseases is a major challenge in agriculture. Hence, the early and accurate diagnosis of tomato diseases is crucial. The emergenc... ver más
Revista: Agronomy    Formato: Electrónico

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