|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinxiu Ma, An Li, Fangjun Qin, Wenbin Gong and Hao Che
The marine atomic interferometric gravimeter is a vital precision instrument for measuring marine geophysical information, which is widely used in mineral resources exploration, military applications, and missile launches. In practical measurements, vibr...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pratham Grover, Kunal Chaturvedi, Xing Zi, Amit Saxena, Shiv Prakash, Tony Jan and Mukesh Prasad
Alzheimer?s disease is a chronic neurodegenerative disease that causes brain cells to degenerate, resulting in decreased physical and mental abilities and, in severe cases, permanent memory loss. It is considered as the most common and fatal form of deme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong and Guoqiang Zhong
Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval. In this paper, combining the ideas of ensemble learning, on...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohd Asif Hajam, Tasleem Arif, Akib Mohi Ud Din Khanday and Mehdi Neshat
Accurate and efficient medicinal plant image classification is of utmost importance as these plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a long history of medicinal plant usage, different parts of plants, su...
ver más
|
|
|
|
|
|