An LSTM neural network prediction model of ultra-short-term transformer winding hotspot temperature by Kun Yan, Jingfu Gan, Yizhen Sui, Hongzheng Liu, Xincheng Tian, Zehan Lu, Ali Mohammed Ali Abdo

“…Utilizing principal component analysis (PCA) to reduce data correlation and employing long short-term memory (LSTM) neural networks for predicting winding hotspots can lead to reduced errors and improved prediction accuracy, enabling quicker and more efficient forecasts. …”
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The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects by Oscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana

“…The proposed model relies solely on frequency analysis data of peak flow, base flow, and water volume for various return periods, along with recorded maximum hydrographs, to compute design hydrographs associated with different return periods. …”
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CONDUCTIVE ZONES IN THE LITHOSPHERE OF THE FOLD BELT OF EURASIA AND THEIR RELATIONSHIP TO MODERN GEODYNAMIC PROCESSES by V. V. Belyavsky, Iv. M. Varentsov, I. N. Lozovsky

“…The research involved 1D, 2D, and 3D MT data inversions. The inversions were preceded by the analysis of the invariants of the impedance tensor. …”
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Simulation of Quantity and Quality of Saq Aquifer Using Artificial Intelligence and Hydraulic Models by Abdul Razzaq Ghumman, Ghufran Ahmed Pasha, Md. Shafiquzzaman, Afaq Ahmad, Afzal Ahmed, Riaz Akhtar Khan, Rashid Farooq

“…Nash-Sutcliffe Model Efficiency and Mean Square Error have been used for assessing the performance of models. …”
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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Taking the mean absolute percentage error (MAPE) index obtained from the example analysis as an example, compared with long short-term memory (LSTM), support vector machine (SVM), and random forest regression (RFR), the forecasting accuracy of GCN model has increased by 1.83%, 2.10% and 2.72% in terms of RMSE.…”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…Simulations and experiments confirm that our approach achieves a positional error below 3 mm, ensuring precise tracking and providing reliable data for operators. …”
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Prevalence of Anemia in Pregnant Women Attending a Healthcare Facility in Multan: A Cross-Sectional Study by Imtiaz Hussain, Talha Rasheeq, Aamena Gardezi, Shahid Mukhtar, Muhammad Tahir, Huzaifa Nazir Siddiqui

“…SPSS version 23 was used for data analysis. Binary logistic regression analysis was used to determine the association between factors.  …”
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A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt by Bassem Khaled Kamel, Almoataz Y. Abdelaziz, Mahmoud A. Attia, Amr Khaled Khamees

“…In this Paper, Gamesa G80 wind turbine is used to perform the numerical analysis of the proposed new model. Moreover, Exponential Distribution Optimizer (EDO), Aquila Optimizer (AO), and Equilibrium Optimizer (EO) algorithms are used to find various probability distribution functions (PDFs) parameters to model wind speed data from Zaafrana region in Egypt using Root Mean Square Error (RMSE) and Coefficient of Correlation (R^2) as judging criteria. …”
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AI-Powered Spectral Imaging for Virtual Pathology Staining by Adam Soker, Maya Almagor, Sabine Mai, Yuval Garini

“…Additionally, we applied Principal Component Analysis (PCA) to the spectral information to examine the effect of down sampling the data on the virtual staining process. …”
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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…Regression scores equal to 1 indicate a good match between the actual data and the predictions. Conclusively, the proposed investigation provides insightful AI, ML and CFD-proposed analysis of blood-based nano-particles which can improve imaging techniques, provide tailored drug delivery, reduce hyperthermia, improve blood flow, and show potential for application in medicine.Highlights Artificial intelligence and machine learning-based CFD simulation of the blood-mediated tri-hybrid nano-fluid flow is presented.An improved finite difference scheme (the Keller-Box method), is utilized to numerically evaluate the problem.The LMA-ANN forecasts with an absolute error range of [Formula: see text] to [Formula: see text] relative to the actual data.Regression scores equal to 1 indicate a strong correlation between forecasts and actual data.…”
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Surface quality prediction and validation of Electro-Fenton chemical mechanical polishing for single crystal SiC based on neural network models by Jiacheng Geng, Jiayun Deng, Zilei Bai, Xiaoning Wen, Jiabin Lu, Qiusheng Yan, Xiaojing Yang

“…The BP neural network achieved a regression coefficient (R²) of 0.98824 when fitting the training data for both MRR and surface roughness Ra. During test data validation, the BP model produced a root mean square error (RMSE) of 101.19 nm/h for MRR and 0.03 nm for surface roughness Ra. …”
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A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren's Syndrome. by Katherine James, Shereen Al-Ali, Jessica Tarn, Simon J Cockell, Colin S Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin T Pease, Paul Emery, Peter Lanyon, John A Hunter, Monica Gupta, Michele Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, UK Primary Sjögren’s Syndrome registry, Anil Wipat, Julia Newton, David E Jones, John Isaacs, Jennifer Hallinan, Wan-Fai Ng

“…<h4>Conclusions</h4>Systematic analysis of gene expression data from pSS patients discordant for fatigue identified 55 genes which are predictive of fatigue level using SVM classification. …”
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Drought monitoring using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia by Birhan Getachew Tikuye, Ram L. Ray, Busnur Manjunatha, Gebrekidan Worku Tefera, Sanjita Gurau

“…The performance of CHIRPS data was evaluated compared to gauging stations using the coefficient of determination (R2), root means square error (RMSE), and mean absolute error (MAE) and showed a good agreement was reached. …”
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Modelling the dynamics of an experimental host-pathogen microcosm within a hierarchical Bayesian framework. by David Lunn, Robert J B Goudie, Chen Wei, Oliver Kaltz, Olivier Restif

“…We analyse the dynamics of the free-living protozoan Paramecium caudatum and its specialist bacterial parasite Holospora undulata. Our analysis provides strong evidence for a saturable infection function, and we were able to reproduce the two waves of infection apparent in the data by separating the initial inoculum from the parasites released after the first cycle of infection. …”
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Modern approaches to performing mine surveying calculations of quarterly surveying of extracted block raw materials and overburden using UAVs by O.A. Yanovych, V.G. Levytskyi

“…Special attention is paid to the system of fixing and coordinating reference points, which consisted of permanent concrete markers and temporary points marked with paint directly on blocks in the quarry. Analysis of measurement accuracy showed that the root mean square error was 48–57 mm for reference points and 123–138 mm for check points. …”
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A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model. by Xiangtu Li

“…., this paper conducts a spatiotemporal analysis of urban NEV sales data. The Whale Optimization Algorithm (WOA) is then employed to optimize the parameters of the Bidirectional Gated Recurrent Unit (BiGRU) model, thereby proposing a WOA-BiGRU-based model for monthly sales prediction for urban NEVs. …”
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RFID based clinic presence system as an effective attendance monitoring solution by Saksena Ilham Sidik, Ashari Imam Ahmad, Al-Hakim Rosyid Ridlo

“…Sistem mengatasi keterbatasan metode manual dengan mengumpulkan dan mengakses data attendance melalui cloud server melalui teknologi Internet of Things (IoT). …”
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Corporate governance and earnings management in banks: An empirical evidence from India by Sarit Biswas, Mousumi Bhattacharya, Pradip H Sadarangani, Justin Yiqiang Jin

“…The study uses Principal Component Analysis (PCA) to develop a comprehensive CG measure. …”
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Explaining Nurses' Experiences of Breaking the Law in Patient Care: A Qualitative Study by Yasaman Jahed

“…The sampling method was purposive and the data was collected through semi-structured individual interviews. …”
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A novel high-order symmetric and energy-preserving continuous-stage Runge-Kutta-Nyström Fourier pseudo-spectral scheme for solving the two-dimensional nonlinear wave equation by Dongjie Gao, Peiguo Zhang, Longqin Wang, Zhenlong Dai, Yonglei Fang

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