|
|
|
|
|
Zhaoxin Wang, Tiejun Wang and Yonggen Zhang
Knowledge of both state (e.g., soil moisture) and flux (e.g., actual evapotranspiration (ETa) and groundwater recharge (GR)) hydrological variables across vadose zones is critical for understanding ecohydrological and land-surface processes. In this stud...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ayman El-Zohairy, Hani Salim, Hesham Shaaban and Mahmoud T. Nawar
Fatigue in steel?concrete composite beams can result from cyclic loading, causing stress fluctuations that may lead to cumulative damage and eventual failure over an extended period. In this paper, the experimental findings from fatigue loading tests on ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhengyang Zhong, Lijun Yun, Feiyan Cheng, Zaiqing Chen and Chunjie Zhang
This paper proposes a lightweight and efficient mango detection model named Light-YOLO based on the Darknet53 structure, aiming to rapidly and accurately detect mango fruits in natural environments, effectively mitigating instances of false or missed det...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zepeng Wang, Yuan Chen and Juwei Zhang
In practical applications, the accuracy of domain terminology translation is an important criterion for the performance evaluation of domain machine translation models. Aiming at the problem of phrase mismatch and improper translation caused by word-by-w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhanlin Ji, Dashuang Yao, Rui Chen, Tao Lyu, Qinping Liao, Li Zhao and Ivan Ganchev
Mutated cells may constitute a source of cancer. As an effective approach to quantifying the extent of cancer, cell image segmentation is of particular importance for understanding the mechanism of the disease, observing the degree of cancer cell lesions...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sitao Liu, Shenghui Fu, Anrui Hu, Pan Ma, Xianliang Hu, Xinyu Tian, Hongjian Zhang and Shuangxi Liu
Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent recognit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sarra Bel Haj Salem, Aissam Gaagai, Imed Ben Slimene, Amor Ben Moussa, Kamel Zouari, Krishna Kumar Yadav, Mohamed Hamdy Eid, Mostafa R. Abukhadra, Ahmed M. El-Sherbeeny, Mohamed Gad, Mohamed Farouk, Osama Elsherbiny, Salah Elsayed, Stefano Bellucci and Hekmat Ibrahim
In the Zeroud basin, a diverse array of methodologies were employed to assess, simulate, and predict the quality of groundwater intended for irrigation. These methodologies included the irrigation water quality indices (IWQIs); intricate statistical anal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianyuan Li, Xiaochun Lu, Ping Zhang and Qingquan Li
The timely identification and detection of surface cracks in concrete dams, an important public safety infrastructure, is of great significance in predicting engineering hazards and ensuring dam safety. Due to their low efficiency and accuracy, manual de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingqing Huang, Di Wu, Hao Huang, Yan Zhang and Yan Han
Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN...
ver más
|
|
|
|
|
|