An Ensemble Learning Method for the Kernel-Based Nonlinear Multivariate Grey Model and its Application in Forecasting Greenhouse Gas Emissions by Lan Wang, Nan Li, Ming Xie

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Performance of the Surface Water and Ocean Topography (SWOT) Mission for Monitoring Small Lakes in West Africa by Felix Girard, Laurent Kergoat, Ibrahim Mainassara, Maxime Wubda, Edwige Dayangnewende Nikiema, Amadou Abdourhamane Toure, Julien Renou, Maxime Vayre, Nicolas Taburet, Nicolas Picot, Manuela Grippa

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Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application by Yuzhuo Zhao, Ben Niu, Xiaoli Jiang, Ping Zhao, Huanqing Wang, Dong Yang

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Reliability assessment of integrated energy systems during wildfire disasters: Application of an iterative algorithm with impact increment state enumeration by Baohong Li, Changle Liu, Yue Yin, Qin Jiang, Yingmin Zhang, Tianqi Liu

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A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application by Julius Kwaku Adu-Ntim, Akoto Yaw Omari-Sasu, Maxwell Akwasi Boateng, Isaac Adjei Mensah

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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

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Application of Harris Hawks Optimization Algorithm in Optimization of Generalized Nonlinear Muskingum Parameters ——A Case Study of the Luohe River by CHEN Haitao, ZHAO Zhijie

“…The Muskingum model plays an important role in river flood simulation,and its simulation accuracy relies on the optimal selection of parameters.To address the current challenges in parameter calibration for the Muskingum model,such as complex solution processes and low accuracy,the use of the Harris Hawks optimization (HHO) algorithm was proposed to optimize its parameters.HHO algorithm has a wide range of global search capabilities,with fewer parameters to be adjusted.Taking Luohe River,a tributary of the Yellow River,as the research object,the generalized nonlinear Muskingum model was used to simulate the flood in the Yiyang-Baimasi section of the river.The parameters were optimized by employing the HHO algorithm,particle swarm optimization (PSO) algorithm,and ant colony optimization (ACO) algorithm,respectively.The results show that the generalized nonlinear Muskingum model based on the HHO algorithm achieved high simulation accuracy in the Yiyang-Baimasi section of the Luohe River,with a Min.SSD of 1 237 and the flood peak error (DPO) of only 5,outperforming those obtained through optimization using PSO algorithm and ACO algorithm.The results are suitable for application in flood forecasting in the Yiyang-Baimasi section of the Luohe River.…”
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New Class of Estimators for Finite Population Mean Under Stratified Double Phase Sampling with Simulation and Real-Life Application by Abdulaziz S. Alghamdi, Hleil Alrweili

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Accuracy-Energy Configurable Sensor Processor and IoT Device for Long-Term Activity Monitoring in Rare-Event Sensing Applications by Daejin Park, Jeonghun Cho

“…We successfully demonstrated that the expected power consumption is in the range of 20% to 50% compared to the result of the basement in case of allowing 10% accuracy error.…”
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APPLICATION OF ALTERNATIVE APPROACHES IN CALCULATING A VALUE OF LAND UNDER A RESIDENTIAL BUILDING TO INCREASE THE RELIABILITY OF THE CADASTRE ASSESSMENT by S. Zenchenko, Y. Radyukova, V. Sutyagin

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Evaluating quasi-experimental approaches for estimating epidemiological efficacy of non-randomised field trials: applications in Wolbachia interventions for dengue by Jo Yi Chow, Lin Geng, Somya Bansal, Borame Sue Lee Dickens, Lee Ching Ng, Ary Anthony Hoffmann, Jue Tao Lim

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The Application and Efficacy of Medication Safety Officer-Based Multidisciplinary Management in Reducing Adverse Drug Reaction and Improving Intravenous Management by Zhang X, Yan M, Qu X, Li Y, Liu L, Liu C

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Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

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Preliminary exploration and application research on the model of gathering distillate according to the quality based on Fourier transform near infrared spectroscopy by LIAO Li, ZHANG Guiyu, ZOU Yongfang, ZHU Xuemei, PENG Houbo, ZHANG Wei, LI Yan

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Application of Gaussian Mixture Model to Solve Inter-Symbol Interference in PAM8 Underwater Visible Light System Communication by Xingbang Wu, Fangchen Hu, Peng Zou, Nan Chi

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A Fusion Water Quality Soft-Sensing Method Based on WASP Model and Its Application in Water Eutrophication Evaluation by Xiaoyi Wang, Jie Jia, Tingli Su, Zhiyao Zhao, Jiping Xu, Li Wang

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Physics-Informed Neural Network for Solving 2D Steady Incompressible Navier-Stokes Equations: Application to Poiseuille Flow by Peter Anthony, Philibus M Gyuk, Isaac H Daniel

“…The predicted x-velocity component (u) was evaluated against the analytical Poiseuille solution, yielding an 𝐿ଶ relative error of 0.0861 (8.61%). Visual comparisons confirm that the PINN accurately captures the parabolic velocity profile characteristic of Poiseuille flow. …”
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). by Rajermani Thinakaran, Ecenur Korkmaz, Başak Ünver, Seyid Amjad Ali, Zeshan Iqbal, Muhammad Aasim

“…However, all other models also faced challenges with high error rates, indicating the need for improved feature engineering. …”
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Bayesian and E-Bayesian Estimation for the Generalized Rayleigh Distribution under Different Forms of Loss Functions with Real Data Application by E. M. Eldemery, A. M. Abd-Elfattah, K. M. Mahfouz, Mohammed M. El Genidy

“…Furthermore, the simulation results indicate that, depending on the minimum mean squared error, the Bayesian and expected Bayesian estimations corresponding to the weighted compound linear exponential loss function suggested in this paper have significantly better performance compared to other loss functions, and the expected Bayesian estimator also performs better than the Bayesian estimator. …”
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