Joint Interpretation Results of Gravitational and Thermal Fields for the Ural Region by Martyshko Pyotr, Ladovskii Igor, Byzov Denis

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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…This significantly limits the possibility of integrating algorithms with wrist gadgets. At the same time, the cardiovascular system as an object of observation is quite informative, the data collection is well developed. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…The comparison of their operation complexity to the algorithm of Boolean functions integration complexity by the complete enumeration method is described. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

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Electric Vehicle Routing Problem with Heterogeneous Energy Replenishment Infrastructures Under Capacity Constraints by Bowen Song, Rui Xu

“…This paper addresses the EVRP with HERIs under various capacity constraints (EVRP-HERI-CC), proposing a mixed-integer programming (MIP) model and a hybrid ant colony optimization (HACO) algorithm integrated with a variable neighborhood search (VNS) mechanism. …”
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Balancing Safety and Comfort: A Novel Automatic Braking Control Method Using Seventh-Degree Polynomials by Fei Lai, Chaoqun Huang

“…The proposed algorithm was rigorously evaluated through integrated simulations performed in CarSim and MATLAB/Simulink, demonstrating its effectiveness.…”
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Engine Optimization Model for Accurate Prediction of Friction Model in Marine Dual-Fuel Engine by Mina Tadros

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Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey by Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

“…This study embarks on a comprehensive review and in-depth analysis of state-of-the-art algorithms across various facets of remanufacturing processes and operations. …”
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Dual-Priority Delayed Deep Double Q-Network (DPD3QN): A Dueling Double Deep Q-Network with Dual-Priority Experience Replay for Autonomous Driving Behavior Decision-Making by Shuai Li, Peicheng Shi, Aixi Yang, Heng Qi, Xinlong Dong

“…Initially, the dueling network is integrated with the double deep Q-network, and the original network’s output layer is restructured to enhance the precision of action value estimation. …”
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Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…It holds significant theoretical and practical value in financial market forecasting, enhancing prediction accuracy and mitigating forecast volatility.…”
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Stability Optimization of Explicit Runge–Kutta Methods with Higher-Order Derivatives by Gerasim V. Krivovichev

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Adapted B-Spline Quasi-Interpolation for Approximating Piecewise Smooth Functions by David Levin, Nira Gruberger

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An RMSprop-Incorporated Latent Factorization of Tensor Model for Random Missing Data Imputation in Structural Health Monitoring by Jingjing Yang

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Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach by Aqeel Abdulazeez Mohammed, Ahlam Hanoon Al-sudani, Alaa M. Abdul-Hadi, Almuntadher Alwhelat, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah, Abir Hussain

“…However, when dealing with 3D signals, the traditional approach of convolving kernels with the signal and computing OMs beforehand significantly increases the computational cost of computer vision algorithms. To address this issue, this paper develops a novel mathematical model to embed the kernel directly into the OPs functions, seamlessly integrating these two processes into a more efficient and accurate approach. …”
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Numerical Simulation Method Study of Rock Fracture Based on Strain Energy Density Theory by Shuchen Li, Luchen Zhang, Qian Sun, Ma Tengfei

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Determination of fracture toughness in plain concrete specimens by R curve by Chbani Hamza, Saadouki Bouchra, Barakat Mohamed

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Numerical modeling of fracture processes of bodies with stress concentrators under conditions of proportional loading, taking into consideration the statistical distribution of ult... by Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

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Numerical modeling of fracture processes of bodies with stress concentrators under conditions of proportional loading, taking into consideration the statistical distribution of ult... by Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

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Infrared thermography study of the fatigue crack propagation by O.A. Plekhov, E.V. Plekhova, M.V. Bannikov, A. Yu. Fedorova

“…Based on the results of mathematical data treatment, we proposed a way to estimate the values of J-integral and stress intensity factor for cracks with pronounced the plastic zone.…”
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Infrared thermography study of the fatigue crack propagation by A.Yu. Fedorova, M.V. Bannikov, M.V. Bannikov, O.A. Plekhov, E.V. Plekhova

“…Based on the results of mathematical data treatment, we proposed a way to estimate the values of J-integral and stress intensity factor for cracks with pronounced the plastic zone.…”
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