JUSTIFICATION OF AN OPTIMUM OPERATING MODE OF A PNEUMATIC GRAVITY TABLE SEPARATOR WITH A PRODUCTIVITY OF 9 TONS PER HOUR by I. A. Pekhal’Skiy, E. V. Zhalnin, R. M. Nurbagandova

“…During operation of a gravity table separator it is necessary to consider a set of the interconnected technological parameters, each of which has an optimum value providing high overall performance of this machine. …”
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An Engineering Model of a Knife Roller for Thinning Forest Crops by Leonid D. Bukhtoyarov, Sergey V. Malyukov, Mikhail N. Lysych

“…To develop the parameters of new types of tools, it is necessary to use modern software that allows taking into account all the factors affecting the design. …”
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Development of design methodology of technological process of ball-rod hardening with account for formation of compressive residual stresses by M. A. Tamarkin, E. E. Tishchenko, S. A. Novokreshchenov, S. A. Morozov

“…Quality parameters of the surface layer are calculated. Correction of the selected modes and re-calculation of the parameters of the machined surface are carried out until all the specified characteristics are located within the required limits.…”
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Technology and implementation of flax stripping in the primary flax processing line by R. A. Rostovtsev, V. G. Chernikov, S. V. Solovyov, I. B. Kazakov

“…It also introduces the equation governing the movement of this working body, thereby enabling the determination of the fundamental geometric parameters of the mechanism. (Research purpose) To develop the technology for fiber flax stripping at a flax mill using the proposed comb-type device, and to examine the parameters and modes of its functionality. …”
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Small-Disturbance Stability Analysis of Doubly Fed Variable-Speed Pumped Storage Units by Xiangyang Yu, Yujie Cui, Hao Qi, Chunyang Gao, Ziming He, Haipeng Nan

“…Furthermore, based on the changes in the characteristic root trajectories, the influence of changes in the speed control system parameters and converter controller parameters on the system stability was determined. …”
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Spatio-temporal characteristics in the GEONET F5 solution in the frequency domain estimated based on the robust spectral analysis by Masayuki Kano, Keisuke Yano, Yusuke Tanaka, Tetsuya Takabatake, Yusaku Ohta

“…All the estimated model parameters are publicly available and can be utilized for various research applications, including the generation of synthetic time series with realistic noise, which is particularly useful in machine learning studies, modeling or correcting transient deformation, discovering previously undetected slow slip events, and detecting anomalies related to the local environment of stations. …”
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Evaluation of the Energy Balance Components of a Mobile Robotic Module for In-Pipe Diagnostics on a Wheeled Chassis by Roman Yu. Dobretsov, Dmitrii S. Popov, Yaroslav N. Smirnov, Vladislav A. Volkov

“…The approach is based on the analysis of the machine operating conditions and the chassis design features. …”
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An Improved Ant Colony Optimization to Uncover Customer Characteristics for Churn Prediction by Ibrahim Al-Shourbaji, Abdoh Jabbari, Shaik Rizwan, Mostafa Mehanawi, Phiros Mansur, Mohammed Abdalraheem

“…Feature selection (FS) is an integral part in Machine Learning (ML) models which aims to improve performance and reduce computational time (CT). …”
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The Design and Experimentation of a Wheeled-Chassis Potato Combine Harvester with Integrated Bagging and Ton Bag-Lifting Systems by Hucun Wang, Wuyun Zhao, Wei Sun, Xiaolong Liu, Ruijie Shi, Hua Zhang, Pengfei Chen, Kuizeng Gao

“…Firstly, based on the agronomic requirements and unique terrain characteristics of potato planting in this area, the structural design of the whole machine was completed with SOLIDORKS 2019 3D software. …”
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CO2 Gas Layer Recognition Method Based on Long Short-Term Memory Network by HE Lina, WU Wensheng, WANG Xiannan, ZHANG Wei, ZHANG Chuanju, SONG Xiaoyu

“…CO2 gas layer recognition model based on Long Short-Term Memory Network (LSTM) is constructed, and CO2 sensitive logging parameters are optimized through m × 2 regularized cross validation to train the model. …”
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Predictive turbulence-driven flux model of scrape-off layer widths across confinement regimes in tokamaks by Mathieu Peret, Jerome Guterl, Tess N. Bernard, Federico D. Halpern, Nicolas Fedorczak

“…We also calculate SOL decay length predictions in terms of plasma and engineer control parameters, which are in agreement with the multi-machine empirical H-mode scaling (Eich et al (ASDEX Upgrade Team and JET EFDA Contributors) 2013 Nucl. …”
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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

“…Physically based models can assess landslide susceptibility with limited datasets by inputting physical parameters, albeit with some uncertainties. In contrast, data-driven models, primarily developed using machine learning and statistical algorithms, often provide acceptable predictive accuracy in assessing landslide susceptibility. …”
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Vision Transformer and Language Model Based Radiology Report Generation by Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Muhammad Abdullah Aamer Baqai, Muhammad Abbas

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NNPDFpol2.0: a global determination of polarised PDFs and their uncertainties at next-to-next-to-leading order by Juan Cruz-Martinez, Toon Hasenack, Felix Hekhorn, Giacomo Magni, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Tanishq Sharma, Gijs van Seeventer

“…NNPDFpol2.0 is based on a machine learning methodology, that makes use of Monte Carlo sampling for the representation of uncertainties into PDFs, of a neural network for the parametrisation of PDFs, of stochastic gradient descent for the optimisation of PDF parameters, and of hyperoptimisation for the selection of the best fitting model. …”
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Design and Optimization of a Robust Wide‐Area Damping Controller for Mitigating Inter‐Area Oscillations in Wind‐Integrated Power Systems by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Sun‐Kyoung Kang, Ilhami Colak, El Manaa Barhoumi

“…A typical six‐machine test system with 200 MW of wind power is used for simulations under various operating conditions and disruptions. …”
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PCA-GWO-KELM Optimization Gait Recognition Indoor Fusion Localization Method by Xiaoyu Ji, Xiaoyue Xu, Suqing Yan, Jianming Xiao, Qiang Fu, Kamarul Hawari Bin Ghazali

“…Then, constructing PCA-GWO-KELM optimization gait recognition algorithms to obtain important features, the model parameters of the kernel-limit learning machine are optimized by the gray wolf optimization algorithm. …”
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Advancing NASICON-type materials through high-entropy strategy: Synthesis and applications by Youmei Li, Ming Zhang, Jintian Wu, Zixuan Fang, Ziqiang Xu, Mengqiang Wu

“…Through investigations, the profound impacts of high-entropy strategies on critical material parameters, including lattice strain modulation, interfacial stability reinforcement, charge-transfer kinetics optimization, and ion transport pathway regulation, were elucidated. …”
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An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. …”
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Characterization of IN738LC using in situ nanoindentation and crystal plasticity modeling by Amirhosein Mozafari, Bolin Fu, Darshan Chalapathi, Hamidreza Abdolvand

“…The analysis is performed on both as-received and heat-treated specimens to characterize their anisotropic mechanical responses. With the use of machine learning, the critical resolved shear stresses and hardening parameters are extracted to incorporate into a crystal plasticity finite element (CPFE) model so that the calculated macroscopic response of the alloy can be compared with the measured one. …”
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On the issue of secular trends in modern anthropology by A. A. Gaivoronsky, A. A. Semenov, V. V. Chrishtop, G. I. Nichiporuk, O. A. Osipov, R. I. Glushakov

“…Changes in the last two decades include developmental retardation, debrachycephalization and leptoprosopia, changes in body shape, sex inversion, decreased aerobic tolerance, decreased agility, decreased certain blood biochemical parameters, cellularity of body fluids and cognitive abilities, as well as increased activity of the sympathetic nervous system. …”
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