Evaluation of precipitation forecasting base on GraphCast over mainland China by Zihuang Yan, Xianghui Lu, Lifeng Wu, Fa Liu, Rangjian Qiu, Yaokui Cui, Xin Ma

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Análisis del perfil sociodemográfico de senderistas y ciclistas que recorren el Camino de Santiago (Analysis of socio-demographic profile of trails and riders walking through the w... by Antonio Granero Gallegos, Francisco Ruiz-Juan, Mª Elena García Montes, Antonio Baena Extremera, Manuel Gómez López

“…Abstract: The social phenomenon inwhich has become the Way of Saint James, its cultural heritage and close relationship with physical activity and sports leisure, has meant that we plan to analyze the characteristics of current Jacobean travellers current through an analysis of socio-demographic walkers and cyclists over 15 years travelling the Camino de Santiago. The research was developed by applying a self-administered questionnaire in Santiago de Compostela on a sample of 1091 subjects, using multistage stratified sampling procedure with proportional affixation, with a margin of sampling error of ± 3% and a level of with confidence 95.5%. …”
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Prediction of Unconfined Compressive Strength of Expansive Soil Amended with Bagasse Ash and Lime Using Artificial Neural Network by D.R. Goutham, A.J. Krishnaiah

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Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…The purpose of this research work is to advance ECG signal classification results by employing numerous denoising methods and, in turn, boost the accuracy of cardiovascular diagnoses. …”
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Complex modulation of fingertip forces during precision grasp and lift after theta burst stimulation over the dorsal premotor cortex by Drljačić Dragana, Pajić Sanja, Nedeljković Aleksandar, Milanović Slađan D., Ilić Tihomir V.

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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…Abstract In this research, we analyze the complex dynamics of hydro-magnetic flow and heat transport under Sorent and Dofour effects within wedge-shaped converging and diverging channels emphasizing its critical role in conventional system design, high-performance thermal equipment. …”
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High-Resolution Daily XCH₄ Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data by Mohamad M. Awad, Saeid Homayouni

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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…The key focus of this research is the optimization of the similarity function, a crucial component of the ABE, using both Euclidean and Manhattan distance measures. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…The model’s prediction performance is evaluated using mainstream metrics such as the Mean Absolute Percentage Error (MAPE), Coefficient of Determination (R²), Root Mean Square Error (RMSE), robustness analysis, overfitting analysis, and grey relational analysis. …”
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Study of the corrective ability of sync codes for the matched processing decoder by A. V. Sadchenko, O. A. Kushnirenko, A. G. Yurkevych, V. S. Sevastianov

“…The authors carry out an analysis of the correcting ability of the decoder model with matched processing for Barker codes of different lengths under the conditions of a one, two, and threefold error. Analytical expressions have been obtained to determine the decoding error probability of a binary minimax code depending on the length of the sync code. …”
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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

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RELATIVE AND ABSOLUTE RELIABILITY OF ISOMETRIC AND ISOKINETIC SHOULDER MAXIMAL MOMENT AND FLEXION/EXTENSION RATIOS IN GYMNASTS by Dimitrios Milosis, Theophanis A. Siatras, Kosmas I. Christoulas, Dimitrios A. Patikas

“… Shoulder strength is essential for gymnasts in order to succeed in their sport, but little research has examined isometric and isokinetic shoulder moment and flexion/extension ratios.  …”
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Investigating the Performance of SewerGEMS Software in Simulating Urban Runoff for Small Basins (Case Study: Minab City) by M. Ranjbari Hajiabadi, J. Abedi Koupai, M.M. Matinzadeh

“…Therefore, paying attention to rainfall-runoff simulation models is important to manage and reduce adverse consequences. In this research, the performance of the SewerGEMS software was examined by studying different modes based on the number and area of sub-basins. …”
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Prediction model for the initial period, active period, and decline period of surface movement in coal mining by Liangliang ZHANG, Hua CHENG, Zhishu YAO, Xiaojian WANG

“…The results show that the prediction results of the initial period, active period, and declining period duration model of surface movement are basically consistent with the monitoring results of 15 mining areas, the minimum error is only 0 d, 1 d, and 0 d, and the average error is only 13.7 d, 12.7 d, and 18.5 d, respectively, verifying the rationality and accuracy of the prediction model. …”
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China Aerosol Raman Lidar Network (CARLNET)—Part I: Water Vapor Raman Channel Calibration and Quality Control by Nan Shao, Qin Wang, Zhichao Bu, Zhenping Yin, Yaru Dai, Yubao Chen, Xuan Wang

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Comparative analysis prediction of prostate and testicular cancer mortality using machine learning: accuracy study by Aurélio Gomes de Albuquerque Neto, David Medeiros Nery, João Paulo Araújo Braz, Carla Ferreira do Nascimento, Tiago Almeida de Oliveira, Brígida Gabriele Albuquerque Barra, Leonardo Thiago Duarte Barreto Nobre, Diego Bonfada, Janine Karla França da Silva Braz

“…RESULTS: The research data were made publicly available on GitHub. …”
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Laboratory and Numerical Study of Hydraulic Loss and Discharge Coefficient in Rectangular Labyrinth and Piano Key Weirs by R. Ghasemi Ghasemvand, M. Heidarnejad, A.R. Masjedi, A. Bordbar

“…The weirs used in this research were of the labyrinth type, featuring both curved and linear designs. …”
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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era by Kaleem Razzaq Malik, Muhammad Sajid, Ahmad Almogren, Tauqeer Safdar Malik, Ali Haider Khan, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…While conventional steganography methods are typically classified into spatial and transform domains, extensive research and analysis demonstrate that the hybrid approach surpasses individual techniques in performance. …”
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STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods by Yecheng Ma, Lili He, Junhong Zheng

“…Through numerical experiments, the method demonstrates excellent performance by achieving a 35.9% reduction in Mean Squared Error and a 21.4% decrease in Mean Absolute Percentage Error, significantly outperforming traditional methods. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…The purpose of this research is to address the problem of high-precision retrieval of the Chl-a concentration in small coastal waters. …”
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