Evaluation the Best Random Component in Modified Thomas-Fiering Model in Generating Rainfall Data for Akre station by Fawaz Kh. Aswad, Ali A. Yousif, Sayran A. Ibrahim

“…In this research, the effect of random component in the modified Thomas-Fiering model to generate daily rainfall data was studied, and Akre station considered a case study. …”
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Precise Pre-Close Wind Volume Calculation for Aluminum Electrolysis Based on Unscented Kalman and Average Filters by Jiawei Zhao, Mengfan Wang, Xue Hu, Lixin Zhang

“…When there was a sudden change in speed, the UKF achieved a relative error of only 0.0373%, significantly lower than the 2.52% error of the traditional Kalman Filter (KF). …”
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Red Fox Optimization-Based Estimation Algorithms for Splitting Tensile Strength of Basalt Fiber Reinforced Concrete by Xiao Wu, Daoyong Zhu, Qin Yan

“…Also, the models’ results indicate that RFORF outperforms another model, with −34% lower values in symmetric mean absolute percentage error (SMAPE) and a significant −80% reduction in mean squared logarithmic error (MSLE). …”
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Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system by Ahmed Sobhy, Medhat Hegazy Elfar, Ahmed Refaat, Mahmoud Fawzi

“…To address these challenges, an optimized simplified nonlinear active disturbance rejection (SNADR) control strategy, enhanced through the Particle Swarm Optimization (PSO) algorithm for parameter tuning, is proposed. This research fills a critical gap in the selection of parameters for SNADR controllers, which are usually tuned by trial and error. …”
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A DNN-based 5G MIMO system adopting a mix of tactics by Md. Matiqul Islam, Md. Ashraful Islam, Md. Firoz Ahmed

“…The proposed system employs a linear minimum mean square error (LMMSE) equalizer to ensure effective signal detection. …”
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Navigating hydrological extremes: SARIMA forecasting of minimum Danube River discharges by Igor Leščešen, Pavla Pekárová, Zbyněk Bajtek

“…Model performance was evaluated using statistical measures such as mean absolute error and root mean square error with results indicating robust predictive capabilities across the studied stations. …”
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Dual generative adversarial networks for merging ocean transparency from satellite observations by Xuan Zhou, Xiaofeng Yang, Xiaomin Ye, Bing Li

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Photoplethysmography and Artificial Intelligence for Blood Glucose Level Estimation in Diabetic Patients: A Scoping Review by Sara Lombardi, Leonardo Bocchi, Piergiorgio Francia

“…However, all studies used Clarke error grid or Parkes error grid, with over 98% of estimates falling into clinically acceptable zones A or B. …”
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Conditional Random Fields Applied to Arabic Orthographic-Phonetic Transcription by El-Hadi CHERIFI, Mhania GUERTI

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Optimal Oxygen Titration in Patients with Chronic Obstructive Pulmonary Disease: A Role for Automated Oxygen Delivery? by François Lellouche, Jed Lipes, Erwan L’Her

“…Preliminary data in this field are promising and will require a significant amount of research in the coming years to determine the precise indications for these systems. …”
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Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network by Henrique Oyama, Takazumi Matsumoto, Jun Tani

“…Finally, this paper explores how our experiment results align with existing studies and highlights their potential for future research.…”
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Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks by Stephen Afrifa, Tao Zhang, Peter Appiahene, Xin Zhao, Vijayakumar Varadarajan, Thomas Atta-Darkwah, Yanzhang Geng, Daniel Gyamfi, Rose-Mary Owusuaa Mensah Gyening

“…The DL models’ results show a significant score of root mean square error (RMSE) between 2.20 and 12.40 and coefficient of determination (R-squared between 0.84–0.99), showing a significant improvement in RMSE and mean absolute error (MAE) in the testing and validation categories, when compared to the current state-of-the-art methods. …”
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Design and robust control of a dual-loop valve-controlled cylinder system by Lijuan Zhao, Tiangu Wu

“…Experimental and simulation results demonstrate that, compared to a conventional Sliding Mode Controller (SMC), the proposed ESMO-RSMC strategy reduces the peak disturbance error by 60.4% and shortens the initial convergence time from 0.08 s to an immediate response within the error band. …”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…Due to its widespread adoption, research on energy pile analysis theory has advanced significantly. …”
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Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management by William Alberto Cruz Castañeda, Pedro Bertemes Filho

“…The study also establishes a baseline of twelve regression algorithms to assess the non-invasive glucose prediction performance regarding the mean squared error, root mean squared error, and r-squared score, and the catboost regressor outperforms the other models with 218.91 and 782.30 in MSE, 14.80 and 27.97 in RMSE, and 0.81 and 0.31 in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>, respectively, on training and test sets. …”
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Study on Tourism Development Using CRITIC Method for Tourist Satisfaction by Xi Yang, Noor Azman Ali, Huam Hon Tat

“…These weights informed the MLP model, which accurately predicted tourist satisfaction with a mean absolute error (MAE) of 0.12 and a root mean square error (RMSE) of 0.18. …”
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Computationally Efficient Impact Estimation of Coil Misalignment for Magnet-Free Cochlear Implants by Samuelle Boeckx, Pieterjan Polfliet, Lieven De Strycker, Liesbet Van der Perre

“…To examine the feasibility of magnet-free cochlear implants, this research studies the impact of coil misalignment on the inductive coupling between the coils and thus the power and data transfer. …”
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Generalized Sampling Theory in the Quaternion Domain: A Fractional Fourier Approach by Muhammad Adnan Samad, Yuanqing Xia, Nader Al-Rashidi, Saima Siddiqui, Muhammad Younus Bhat, Huda M. Alshanbari

“…The field of quaternions has made a substantial impact on signal processing research, with numerous studies exploring their applications. …”
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A deep reinforcement learning approach for wind speed forecasting by Shahab S. Band, Ting Jia Lin, Sultan Noman Qasem, Rasoul Ameri, Danyal Shahmirzadi, Muhammad Shamrooz Aslam, Hao-Ting Pai, Ely Salwana, Amir Mosavi

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Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems by Mohamed Ahmed Ebrahim Mohamed, Sayed A. Ward, Mohamed F. El-Gohary, M. A. Mohamed

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