Joint approximate diagonalization technique for modal identification of the Donghai Bridge by Ben Li, Lin Chen, Satish Nagarajaiah, Limin Sun

“…At the core of these methods is the matrix joint approximate diagonalization (JAD) technique, while their efficiency and accuracy are largely determined by how the target-matrices for JAD are constructed from multi-channel structural responses. …”
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Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats by Enze Wang, Huaguo Zhang, Yunhan Ma, Han Tong, Juan Wang, Wenting Cao, Dongling Li

“…Overall, the proposed UAV quantitative mapping method enhances the efficiency and diversity of coral reef monitoring, while the in situ survey approach ensures accuracy. …”
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Applied AMT machine learning and multi-objective optimization for enhanced performance and reduced environmental impact of sunflower oil biodiesel in compression ignition engine by Ali A. Al-jabiri, Hyder H. Balla, Mudhaffar S. Al-zuhairy, Hussein Alahmer, Ahmed Al-Manea, Raed Al-Rbaihat, Ali Alahmer

“…The AMT models demonstrate high prediction accuracy, with coefficient of determination (R2) values exceeding 0.98.…”
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Secure Cooperative Dual-RIS-Aided V2V Communication: An Evolutionary Transformer–GRU Framework for Secrecy Rate Maximization in Vehicular Networks by Elnaz Bashir, Francisco Hernando-Gallego, Diego Martín, Farzaneh Shoushtari

“…In addition to secrecy rate improvements, the proposed model achieved a root mean square error (RMSE) of 0.05, coefficient of determination (<inline-formula><math display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) score of 0.96, and mean absolute percentage error (MAPE) of just 0.73%, outperforming all baseline methods in prediction accuracy and robustness. …”
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Combining UAV Multispectral Imaging and PROSAIL Model to Estimate LAI of Potato at Plot Scale by Shuang Li, Yongxin Lin, Ping Zhu, Liping Jin, Chunsong Bian, Jiangang Liu

“…Compared to the tedious and time-consuming manual measurements of the LAI, remote sensing has emerged as a valuable tool for rapid and accurate estimation of the LAI; however, the empirical inversion modeling methods face challenges of low efficiency for actual LAI measurements and poor model interpretability. …”
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Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

“…The performance of the model statistical test shows the coefficient of determination (R2) and Nash–Sutcliffe (NS) efficiency values 0.87 and 0.81 for calibration periods of 1990–2002 and 0.84 and 0.76 for the validation period of 2003 to 2009, respectively. …”
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Creation of high-conductive filtration channels in core samples when simulating acid exposure at a filtering unit by K. A. Ravelev, K. A. Vyatkin, P. Yu. Ilyushin

“…The main objectives are to determine the significance of these factors and to establish dependencies reflecting their effect on the efficiency of technologies aimed at stimulating oil inflow.Materials and methods. …”
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Construction and application of near-infrared spectroscopy analysis model for peanut quality traits by Hairong CAI, Wenjing SONG, Jianben LIN, Jiawei LIU, Yuanyuan GUO, Bowen LI, Haiyang YANG, Jiayi LU, Hanfeng SHI, Jiankuan WANG, Fangming LI, Tao GUO

“…The single and composite preprocessing methods were compared to select the best model that performed optimally under this spectral preprocessing by comparing the determination coefficients (R2) and root mean square errors of calibration (RMSEC) of different models. …”
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Distribution Network Topology Identification Based on Finite Key Nodes and Wasserstein Distance by Yao ZHAO, Yongjiang CHEN, Kunhua JI, Yun WANG

“…Finally, a case study of the IEEE 33 node and a residential area has verified the effectiveness of the proposed method. This method greatly improves the identification efficiency and accuracy of distribution network topology, and realizes the dynamic identification of distribution network topology.…”
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HUBUNGAN POWER OTOT LENGAN DAN KOORDINASI MATA-TANGAN DENGAN HASIL SERVIS PANJANG DALAM PERMAIAN BULU TANGKIS PADA SISWA EXTRAKURIKULER SMA NEGERI 2 OKU by Daryono .

“…The research method used is a correlational method which aims to determine the relationship between variables. …”
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Parametric Analysis of Flexible Logic Control Model by Lihua Fu, Dan Wang, Jinyun Kuang

“…In practical control application, how to determine the general correlation coefficient of flexible logic control model is a problem for further studies. …”
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Modified Silica Particles Coated with Cu-Al Layered Double Hydroxide for Phosphate and Arsenate Removal in Water Treatment by Andrija Savić, Marija M. Vuksanović, Marjetka Savić, Nataša Knežević, Aleksandra Šaponjić, Svetlana Ilić, Adela Egelja

“…CuAl-LDH, with a Cu²⁺/Al³⁺ molar ratio of 2:1, was synthesized using the co-precipitation method in the presence of modified silica maintaining an LDH/SiO₂ mass ratio of 2:1. …”
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FBMC vs. PAM and DMT for High-Speed Wireline Communication by Jeremy Cosson-Martin, Jhoan Salinas, Hossein Shakiba, Ali Sheikholeslami

“…Finally, we present a method to emulate wireline links while reducing the emulator complexity and simulation time by one to two orders of magnitude over conventional over-sampled techniques. …”
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Enhanced removal of the crystal violet dye from aqueous medium using tripolyphosphate–functionalized Zn–substituted magnetite nanoparticles by Lotfi Ben Tahar, Roaa Mogharbel, Yasmeen Hameed, Adel Noubigh, Mustafa Jaip Allah Abd Elmageed Abualreish, Ahmed Hamad Alanazi, Mohammad Rafe Hatshan

“…Preliminary results showed that pH is the most important factor that controls the dye adsorption and the optimum removal efficiency was determined for the natural pH (pH ∼7). …”
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Hydrological parameter sensitivity analysis for water evaluation and planning model calibration in the Borkena River Sub-basin by Elias Fiseha Mekonnen, Gebremariam Adane Getu

“…The model performance was evaluated using metrics such as Nash–Sutcliffe Efficiency (NSE), Root Mean Square Error (RMSE), Percentage of Bias (PBIAS), and Coefficient of Determination (R2). …”
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FTLNet: federated deep learning model for multi-horizon wind power forecasting by Majad Mansoor, Gong Tao, Adeel Feroz Mirza, Balal Yousaf, Muhammad Irfan, Wei Chen

“…The resulting FTL-Net model demonstrates exceptional performance, surpassing existing benchmarks with metrics such as a Mean Absolute Error (MAE) of 6.011, Mean Squared Error (MSE) of 13,855.45, Root Mean Squared Error (RMSE) of 11.7, a coefficient of determination ( $${R}^{2}$$ R 2 ) of 0.9899, and a correlation coefficient of 0.998. …”
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Prediction Model of Pipeline Push Resistance in Tunnels by Lianmin Cao, Mingxing Zhu, Dekang Zhang, Ying Zhen, Xu Zhang, Yuguang Cao

“…The installation of pipes in tunnel construction using the external welding method requires the assistance of a pipe pusher and roller support to push the welded pipe into the tunnel. …”
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Designing reliability of transport and technological process in construction by S. M. Kuznetsov, O. V. Demidenko, N. E. Alekseev

“…To assess the reliability of transport and technological process there is offered a functional approach realized by means of the generalized structural method. On the basis of the conducted research as the indicators of reliability of transport and technological process it is offered to use a coefficient of operational readiness and probability of no-failure operation. …”
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Back-Analysis of Parameters of Jointed Surrounding Rock of Metro Station Based on Random Forest Algorithm Optimized by Cuckoo Search Algorithm by Xinping Guo, Annan Jiang, Xiang Liu

“…The efficiency and accuracy in determining mechanical parameters of joint of rock mass have significant influences on the safety of construction. …”
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CircRNA-miRNA-mRNA networks in plasma extracellular vesicles as biomarkers for first-onset schizophrenia by Xinzhe Du, Wei Hu, Xinrong Li, Yao Gao, Junxia Li, Xiaodong Hu, Xiao Wang, Wentao Zhao, Long Cheng, Xiaohua Cao, Hongbao Cao, Zhiyong Ren, Yu Zhang, Yong Xu, Sha Liu

“…Here, we constructed circRNA-miRNA-mRNA networks of EVs, and examined their diagnostic efficiency in FOS. Methods The expression levels of circRNAs, miRNAs and mRNAs in EVs derived from 10 FOS patients and 10 healthy controls (HC) were determined by high-throughput sequencing. …”
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