181   Artículos

 
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
Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang and Changming Sun    
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representa... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou    
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yunfei Yang, Zhicheng Zhang, Jiapeng Zhao, Bin Zhang, Lei Zhang, Qi Hu and Jianglong Sun    
Resistance serves as a critical performance metric for ships. Swift and accurate resistance prediction can enhance ship design efficiency. Currently, methods for determining ship resistance encompass model tests, estimation techniques, and computational ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Pin-Hung Juan and Ja-Ling Wu    
In this study, we present a federated learning approach that combines a multi-branch network and the Oort client selection algorithm to improve the performance of federated learning systems. This method successfully addresses the significant issue of non... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Pavel V. Matrenin, Valeriy V. Gamaley, Alexandra I. Khalyasmaa and Alina I. Stepanova    
Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman    
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ugur Ercan, Onder Kabas and Georgiana Moiceanu    
Alfalfa holds an extremely significant place in animal nutrition when it comes to providing essential nutrients. The leaves of alfalfa specifically boast the highest nutritional value, containing a remarkable 70% of crude protein and an impressive 90% of... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mihael Gudlin, Miro Hegedic, Matija Golec and Davor Kolar    
In the quest for industrial efficiency, human performance within manufacturing systems remains pivotal. Traditional time study methods, reliant on direct observation and manual video analysis, are increasingly inadequate, given technological advancements... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ning Wang, Zhong Ma, Pengcheng Huo, Xi Liu, Zhao He and Kedi Lu    
Crop yield prediction is essential for tasks like determining the optimal profile of crops to be planted, allocating government resources, effectively planning and preparing for aid distribution, making decisions about imports, and so on. Crop yield pred... ver más
Revista: Applied Sciences    Formato: Electrónico

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