Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…This paper deals with the generation of synthetic EEG signals using deep learning-based models, to be used in future research for training Parkinson’s disease detection systems. …”
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Comparison of the Effectiveness of Gamification, Tracking Patterns, and Visual Gauges in Improving Hand Motor Performance Through Biofeedback by Ayda Ebrahimi, Amir Salar Jafarpishe, Mohsen Vahedi, Marzieh Izadi Laybidi, Somayeh Mohammadi

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Integrating machine learning-based classification and regression models for solvent regeneration prediction in post-combustion carbon capture: An absorption-based case by Farzin Hosseinifard, Mostafa Setak, Majid Amidpour

“…The Random Forest model, optimized via Grid Search Cross-Validation, delivered the most accurate results, achieving an R² of 0.942, a Mean Absolute Error (MAE) of 0.028, and a Mean Squared Error (MSE) of 0.004. …”
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Tree volume modeling of different poplar clones in plantations in the Vojvodina region by Pantić Damjan, Borota Dragan, Janjatović Živan

“…Based on preliminary research, the samples were structured in such a way that their implementation would provide data for the development of models for calculating volume (and indirectly volume increment) within acceptable margins of error. …”
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The Bolometric Light-curve Modeling of 98 Type I Superluminous Supernovae Using the Magnetar- and the Circumstellar Interaction Models Reveals Surprisingly High Ejecta Masses by Réka Könyves-Tóth

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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…This research article proposes a new method for an enhanced Flexible Manufacturing System (FMS) using a combination of smart methods. …”
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Statistical Model Development for Estimating Soil Hydraulic Conductivity Through On-Site Investigations by Muhammad Waleed, Muhammad Azhar Inam, Raffaele Albano, Abdul Samad, Hafiz Umar Farid, Muhammad Shoaib, Muhammad Usman Ali

“…Statistically measured hydraulic conductivity showed closer agreement with experimentally measured hydraulic conductivity than the empirically measured hydraulic conductivity: root mean square error (RMSE), correlation coefficient (<i>Cc</i>), and mean absolute error (<i>MAE</i>) are, respectively, equal to 0.013, 0.93, and 0.011.…”
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A feasibility study on using soft insoles for estimating 3D ground reaction forces with incorporated 3D-printed foam-like sensors by Nick Willemstein, Saivimal Sridar, Herman van der Kooij, Ali Sadeghi

“…For users to accept such insoles, they need to be comfortable and lightweight. Previous research has demonstrated that sensorized insoles can estimate ground reaction forces (GRFs). …”
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Corrosion Predictive Model in Hot-Dip Galvanized Steel Buried in Soil by Lorena-De Arriba-Rodríguez, Francisco Ortega-Fernández, Joaquín M. Villanueva-Balsera, Vicente Rodríguez-Montequín

“…Specifically, the mean square error was 290.6 g/m2 (range of the objective variable is from 51.787 g/m2 to 5950.5 g/m2), R2 was 0.96, and from a relative error of 0.14, the success of the estimate was 100%. …”
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Rationale for the Choice of a Positioning System for Mobile Agricultural Robot Movement Controlling by A. V. Teterev

“…A correctly selected positioning system for controlling the mobile robotic means movement ensures high positioning accuracy of the robotic platform in the garden, allows to automate precise operations in the garden and systematize route planning algorithms.(Research purpose) To substantiate the rational choice of a positioning system for controlling the mobile robotic device movement.…”
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Application of artificial neural networks in the drilling processes: Can equivalent circulation density be estimated prior to drilling? by Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman, David Lian

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Assessment of executive functions of poisoning following suicide by Nastaran Eizadi-Mood

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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…As a core component of agricultural machinery autonomous navigation, path tracking control holds significant research value. The pure pursuit algorithm has become a prevalent method for agricultural vehicle navigation due to its effectiveness at low speeds, yet its performance critically depends on the selection of the look-ahead distance. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

“…In the model experiment, Argo data were used to train and validate the model, and the root mean square error (RMSE), normalized root mean square error (NRMSE), and coefficient of determination (R²) were employed to evaluate the model’s performance. …”
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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

“…This study presents an innovative method for predicting the eccentric compressive capacity of ECC-CES columns, utilizing adaptive sampling and machine learning (ML) techniques. Initially, the research introduces a finite element (FE) model for ECC-CES columns, incorporating material and geometric nonlinearities to capture the inelastic behavior of both ECC and steel through appropriate constitutive material laws. …”
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Тhe effect of cancer patients’ positioning accuracy during radiation therapy sessions using medical linear electron accelerators on the parameters of their individual 3D dose distr... by M. N. Piatkevich, E. V. Titovich, G. V. Belkov

“…For the correct and successful application of these complex methods of radiation therapy, it was necessary to enforce the requirements for the technical and dosimetric parameters of the radiotherapy equipment. The purpose of the research is to determine the magnitude of the possible error for patients’ positioning during their radiotherapy treatments using medical linear accelerators by modeling the impact of the patient’s body on the treatment couch. …”
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Сomparative analysis of calculated and experimental studies of pallet movement speed on magnetic type brake roller by I. A. Sharifullin, A. L. Nosko, E. V. Safronov

“…It was found that with an increase in the speed of movement of the pallet along the magnetic brake roller, the error of the mathematical model increases, and, first of all, after crossing with the straight line of a drag peak speed.Conclusions. …”
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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…ICBoost outperformed other methods, as evidenced by lower root-mean-square error, mean absolute error, and Brier score values.…”
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Effect of Rainfall Pattern on Sediment Yield and Runoff in Different Textured Soils by Abdul-rahman Perdawood Haydar, Kamyar Mutalib Mohammed, Dawod Rasooli Keya

“…The primary objective of this research is to use multiple linear regression analysis to establish several models correlating rainfall intensity, silt content, and clay content with bulk density, sediment yield, and runoff rate. …”
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