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Peipei Chen, Jianguo Dai, Guoshun Zhang, Wenqing Hou, Zhengyang Mu and Yujuan Cao
Nitrogen plays a crucial role in cotton growth, making the precise diagnosis of its nutrition levels vital for the scientific and rational application of fertilizers. Addressing this need, our study introduced an EMRDFC-based diagnosis model specifically...
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Zhiyang Li, Zhigang Nie and Guang Li
One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more ...
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Violeta Migallón, Héctor Penadés, José Penadés and Antonio José Tenza-Abril
Lightweight aggregate concrete (LWAC) is an increasingly important material for modern construction. However, although it has several advantages compared with conventional concrete, it is susceptible to segregation due to the low density of the incorpora...
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Nutchanart Sriwongsitanon, Chanphit Kaprom, Kamonpat Tantisuvanichkul, Nattakorn Prasertthonggorn, Watchara Suiadee, Wim G. M. Bastiaanssen and James Alexander Williams
Precise estimation of the spatial and temporal characteristics of rainfall is essential for producing the reliable catchment response needed for proper management of water resources. However, in most parts of the world, gauged rainfall stations are spars...
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Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis and Dimitrios Tzovaras
Early detection and efficient management practices to control Tuta absoluta (Meyrick) infestation is crucial for safeguarding tomato production yield and minimizing economic losses. This study investigates the detection of T. absoluta infestation on toma...
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Fei Liu, Jiawei Li, Xiangxi Wen, Yu Wang, Rongjia Tong, Shubin Liu and Daxiong Chen
With the rapid development of the air transportation industry, the air traffic situation is becoming more and more complicated. Determining the situation of air traffic is of great significance to ensure the safety and smoothness of air traffic. The stro...
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Szidónia Lefkovits, László Lefkovits and László Szilágyi
Automatic brain tumor segmentation from multimodal MRI plays a significant role in assisting the diagnosis, treatment, and surgery of glioblastoma and lower glade glioma. In this article, we propose applying several deep learning techniques implemented i...
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Xingming Zeng, Haiyuan Liu and Hao He
Prediction of intrinsic disordered proteins is a hot area in the field of bio-information. Due to the high cost of evaluating the disordered regions of protein sequences using experimental methods, we used a low-complexity prediction scheme. Sequence com...
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A.V. Vorobyev
Pág. 29 - 34
The limited availability of information collection is a factor hindering the application of high-performance machine learning algorithms. The development of methods to improve the accuracy of models while reducing the observation periods, can be an effec...
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Marwa Ben Jabra, Anis Koubaa, Bilel Benjdira, Adel Ammar and Habib Hamam
The COVID-19 disease has spread all over the world, representing an intriguing challenge for humanity as a whole. The efficient diagnosis of humans infected by COVID-19 still remains an increasing need worldwide. The chest X-ray imagery represents, among...
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