Lifu Zhang

Nov 21, 2024 | onlinelibrary.wiley.com | Dou Luo |Lifu Zhang |Jie Zeng |Hongyang Zhang

Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adma202410880-sup-0001-SuppMat.docx10.3 MB Supporting Information adma202410880-sup-0002-TableS1.xlsx13.2 KB Supplemental Table 1 adma202410880-sup-0003-TableS2.xlsx15 KB Supplemental Table 2 References 1, , , , , , , , , , , , , , , , , , , , Nat. Mater. 2022, 21, 656. 2, , , , , , , , , , , , , , , , Nat. Commun. 2024, 15, 1830.

Dec 9, 2023 | onlinelibrary.wiley.com | Dou Luo |Lifu Zhang |Jie Zeng |Weijie Chi

Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adfm202311736-sup-0001-SuppMat.pdf7.6 MB Supporting Information adfm202311736-sup-0002-SuppMat.zip47.1 KB Supporting Information References 1, , , , , Science 2016, 352, aad4424. 2, , , , , , , , , , , Chem. Rev. 2022, 122, 14180. 3, , , , Nat. Photonics 2018, 12, 131. 4, , , , , Nat. Energy 2018, 3, 720. 5, , , , , , J. Mater. Chem. A 2022, 10, 3255.

Aug 23, 2023 | mdpi.com | Hongqing Wang |Lifu Zhang |Rong Wu |Hongying Zhao

4. Results and Discussion 4.1. Performance Analysis and Model ComparisonIn this section, we provide a detailed comparison of our proposed model, MegaTT, with a series of established benchmark models extensively utilized in the field of environmental data prediction. For the sake of transparency, reproducibility, and fairness in our experimental setup, each model’s specific architectural configurations and principal parameters are comprehensively explained.

Aug 16, 2023 | mdpi.com | Hongqing Wang |Lifu Zhang |Rong Wu

4.2. Models Comparation and Performance AnalysisIn order to establish the efficacy of the proposed MSAFormer model, it was juxtaposed against five widely recognized models: Support Vector Machine (SVM) [30], Random Forest (RF) [32], Adaptive Boosting (AdaBoost) [34], Long Short-Term Memory (LSTM) [43], and Gated Recurrent Unit (GRU) [46]. These models are detailed below:Support Vector Machine (SVM): This was implemented employing a radial basis function (RBF) kernel.

Feb 9, 2023 | mdpi.com | Lifu Zhang |Nuaman Ejaz |Mohamed Elhag |Jarbou Bahrawi

Abstract:This study examines the sediment retention in Wadi Baysh using the Revised Universal Soil Loss Equation (RUSLE) and TerrSet models, accompanied by integrated remote sensing and Geographic Information System (GIS) techniques. The contribution of this study is mainly associated with the application of TerrSet integrated with high resolution datasets to precisely estimate sediments load, which provide useful information to operate dams and improve the operational efficiency of dams.