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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Manar Ahmed Hamza, Hamed Alqahtani, Dalia H. Elkamchouchi, Hussain Alshahrani, Jaber S. Alzahrani, Mohammed Maray, Mohamed Ahmed Elfaki and Amira Sayed A. Aziz
Unmanned aerial vehicles (UAVs) have significant abilities for automatic detection and mapping of urban surface materials due to their high resolution. It requires a massive quantity of data to understand the ground material properties. In recent days, c...
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Yiwen Liu, Zhongbin Wang, Lei Si, Lin Zhang, Chao Tan and Jing Xu
To eliminate the noise of infrared thermal image without reference and noise model, an improved dual-tree complex wavelet transform (DTCWT), optimized by an improved fruit-fly optimization algorithm (IFOA) and bilateral filter (BF), is proposed in this p...
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Huiru Zhao, Sen Guo and Wanlei Xue
Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself, wh...
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