A hybrid deep learning framework for regional reference crop evapotranspiration estimation in the Hetao Irrigation District using limited meteorological data by Xiao Zhang, Yuxin Tao, Chenglong Zhang

“…New hydrological insights for the region: The results indicated that the mass transfer-based CNN-Informer3 model achieved the best estimation performance, with its average Determination Coefficient (R2), Nash-Sutcliffe efficiency coefficient (NSE), Root Mean Square Error (RMSE), Relative Root Mean Square Error (RRMSE), Mean Absolute Error (MAE) and Percentage Bias (PBIAS) of 0.9712, 0.9665, 0.3764 mm/d, 0.1192, 0.2591 mm/d and -3.8143 % for accuracy evaluation, significantly outperforming other models. …”
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Remaining useful life prediction of Lithium-ion batteries based on data preprocessing and CNN-LSSVR algorithm by Ti Dong, Yiming Sun, Jia Liu, Qiang Gao, Chunrong Zhao, Wenjiong Cao

“…Compared with other traditional algorithms, the proposed RUL prediction method can reduce the mean absolute error and root mean square error by at least 37% and 61%, respectively, and has better stability. …”
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Restart Mechanisms for the Successive-Cancellation List-Flip Decoding of Polar Codes by Charles Pillet, Ilshat Sagitov, Alexios Balatsoukas-Stimming, Pascal Giard

“…However, these decoders have a variable execution time, a characteristic that poses a challenge to some practical applications. In this work, we propose a restart mechanism for list–flip algorithms that allows us to skip parts of the decoding computations without affecting the error-correction performance. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…The research assesses controller performance using multiple indices Integral of Time‐weighted Squared Error (ITSE), Integral of Squared Error (ISE), Integral of Time‐weighted Absolute Error (ITAE), and Integral of Absolute Error (IAE) and finds that ISE yields the most optimal results. …”
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Mathematical Analysis and Performance Evaluation of the GELU Activation Function in Deep Learning by Minhyeok Lee

“…In recent years, the Gaussian error linear unit (GELU) activation function has emerged as a dominant method, surpassing traditional functions such as the rectified linear unit (ReLU) in various applications. …”
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Efficient detection technique in a MIMO system using the received signal compensation algorithm by Mahamat Saleh Idriss Mahamat, Luc Eyembe Ihonock, Joseph Salomon V. Tonga Manga, Bakhit Amine Adoum, Ali Mahamoud Ali, Jean-Francois Dikoundou Essiben, Mahamoud Youssouf Khayal, Yong Suk Joe

“…Abstract In this article, we address the problem of improving the performance of linear detection techniques to satisfy the growing demand for bandwidth for multiuser multimedia applications. Specifically, the technical performance of linear detection in spatial multiplexing should be improved, followed by the reception of the downlink signal. …”
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Predicting New York Heart Association (NYHA) heart failure classification from medical student notes following simulated patient encounters by Ishan R. Perera, Taylor Daniels, Janella Looney, Kimberly Gittings, Frederic A. Rawlins

“…In testing, the model demonstrated a 0.775% error rate in identifying NYHA II, 26.3% for NYHA III, and 6.90% for NYHA IV. …”
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Heat exchanger control: Performance of thermodynamics-based geometrical vs classical PID controllers by Omar R. Gómez-Gómez, Marco A. Zárate-Navarro, J. Paulo García-Sandoval

“…The performance of the proposed controller was tested under two criteria: energetic performance and total tracking control error. The results show that the classical controller has a better energy-saving performance, while the thermodynamic controller has a better tracking performance, making it more suitable for applications where temperature control needs to be more precise.…”
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Tooth image segmentation and root canal measurement based on deep learning by Ziqing Chen, Qi Liu, Jialei Wang, Nuo Ji, Yuhang Gong, Bo Gao

“…The segmentation results are mapped back to the original coordinates and position-corrected, followed by automatic measurement and visualization of root canal lengths and angles.ResultsQuantitative evaluation demonstrated a segmentation Dice coefficient of 96.33%, Jaccard coefficient of 92.94%, Hausdorff distance of 2.04 mm, and Average surface distance of 0.24 mm - all surpassing existing methods. The relative error of root canal length measurement was 3.42% (less than 5%), and the effect of auto-correction was recognized by clinicians.DiscussionThe proposed segmentation method demonstrates favorable performance, with a relatively low relative error between automated and manual measurements, providing valuable reference for clinical applications.…”
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Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

“…We evaluated our system on three publicly available datasets for finger veins using various performance metrics, including accuracy, precision, recall, and equal error rate (EER). The results demonstrated the effectiveness of our method, which achieved high accuracy, low error rates, and strong performance in diversity and irreversibility tests. …”
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TerraWind: A Deep Learning‐Based Near‐Surface Winds Downscaling Model for Complex Terrain Region by Jie Lian, Sirong Huang, Jiahao Shao, Peiyan Chen, Shengming Tang, Yi Lu, Hui Yu

“…Experimental results in Eastern China demonstrate that TerraWind reduces wind speed Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) by an average of 42.6% and 33.3%, respectively, compared to three interpolation methods (bicubic, bilinear, and Inverse Distance Weighting). …”
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TransXLT: A novel ZTD prediction method with SASR-based data reconstruction by Shicheng Xie, Xuexiang Yu, Jiajia Yuan, Xu Yang, Mingfei Zhu, Yuchen Han, Min Wei, Zhongchen Guo

“…Demonstrating robustness across varying latitudes, altitudes, and seasons, the model significantly advances ZTD estimation accuracy for GNSS applications.…”
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Assessing the Performance of a Noninvasive Glucose Monitor in People with Type 2 Diabetes with Different Demographic Profiles by Karnit Bahartan, Keren Horman, Avner Gal, Andrew Drexler, Yulia Mayzel, Tamar Lin

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Analytical Second-Order Extended Kalman Filter for Satellite Relative Orbit Estimation by Zhen Yang, Mingyan Shang, Juqi Yin

“…The EKF linearizes the estimation error around the current estimate and applies the Kalman filter equations to this linearized system. …”
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Development of UV-Chemometric techniques for resolving the overlapped spectra of aspirin, caffeine and orphenadrine citrate in their combined pharmaceutical dosage form by Sobhy M. El-Adl, Amr A. Mattar, Omar M. El-Abassy, Mahmoud M. Sebaiy

“…The comparison of various methodologies and the assessment of the predictive capacity of each set of data were done using the predicted residual error sum of squares (PRESS) and the root mean square error of prediction (RMSEP). …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Then we elaborated in detail the different types of filters used in this study, finally, five statistical parameters such as Root Mean Square Error (RMSE), Mean Square Error (MSE), Structural Similarity Index (SSIM), Peak Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR)  are calculated, compared and the results are tabulated, common in filter evaluation processes. …”
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Development and validation of Mental Health Literacy Assessment Scale among community health workers in Nepal by Shishir Paudel, Anisha Chalise, Prashabdhi Shakya, Tulsi Ram Bhandari

“…Confirmatory factor analysis was employed to validate the model, using root mean square error of approximation < 0.05, standardized root mean square residual < 0.08, comparative fit index ⩾ 0.90, and Tucker–Lewis index ⩾ 0.90. …”
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Probabilistic linkages of propagation from meteorological to agricultural drought in the North African semi-arid region by Younes Dahhane, Victor Ongoma, Abdessamad Hadri, Mohamed Hakim Kharrou, Oualid Hakam, Abdelghani Chehbouni

“…Statistical measures such as Spearman correlation (R), root mean square error (RMSE), and mean absolute error (MAE), are utilized to assess the performance of the meteorological drought index to detect the agricultural drought. …”
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem by Yi Chang, Ming Dong, Lihong Fan, Bochao Kang, Weikai Sun, Xiaofeng Li, Zhang Yang, Ming Ren

“…Clinical trial number Not applicable.…”
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Response Surface Methodology for Modelling and Optimizing Efficiency in Deep Well Pumping Systems by Nuri Orhan, Murat Çavuşlar, Meki Solmaz, Muhammet Emre Erdem

“…According to the experimental results obtained, the target flow rate was predicted with an error rate of 1.49%, and the pump system efficiency was predicted with an error rate of 2.14%. …”
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