A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs by Yifan Zhao, Xiaofan Li, Lei Zuo, Zhongtai Hu, Liangbin Dou, Huagui Yu, Tiantai Li, Jun Lu

“…In this study, a data-driven PCA-RF-VIM (Principal Component Analysis-Random Forest-Variable Importance Measures) approach of analyzing the importance of features is proposed to identify the key factors driving post-fracturing production. Four types of parameters, including log parameters, geological and reservoir physical parameters, hydraulic fracturing design parameters, and reservoir stimulation parameters, were inputted into the PCA-RF-VIM model. …”
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Mechanized Method for the Removal and Disposal of Stones on Mountain Slopes by S. M. Dzhibilov, L. R. Gulueva

“…(Research purpose) To substantiate the design parameters of a mountain stone-harvesting machine and their impact on the grassland preparation quality.  …”
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机床调整误差对弧齿锥齿轮大轮齿面形状影响规律的研究 by 李丽霞, 李培军, 刘新状

“…The points which are affected greatly by the error of the adjustment parameters of machine tool （called the error sensitive points of tooth flank） and the parameters that effect the tooth surface shape of gear greatly among the adjustment parameters of machine tool （called error sensitive adjustment parameters） are found out. …”
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Problems of quantitative assessment of the friction couple contact area by V.O. Belavin, Yu.V. Brylkin, S.V. Zaletaev, A.L. Kusov, V.V. Pavlikov, A.A. Potapov, V.A. Tsarkova

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U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…Here, we present U-Surf, a first-of-its-kind 1 km resolution present-day (circa 2020) global continuous urban surface parameter dataset. Using the urban canopy model (UCM) in the Community Earth System Model as a base model for satisfying dataset requirements, U-Surf leverages the latest advances in remote sensing, machine learning, and cloud computing to provide the most relevant urban surface biophysical parameters, including radiative, morphological, and thermal properties, for UCMs at the facet and canopy level. …”
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渐开线锥形齿轮的数控连续展成磨削 by 郭宝安, 吴序堂

“…This paper deals with computing principles of worm grinding wheel parameters, machine setting parameters and internal driving parameters of the machine and machining method when grinding conical involute gear on CNC worm gear grinding machine.…”
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ADAPTIVE ENERGY-SAVING CULTIVATOR FOR STONY SOILS CULTIVATING by A. B. Kudzaev, T. A. Urtaev

“…In the process of studied basic parameters of elastic composite racks and parameters of pneumatic mechanism drive to adjust the proposed section of the machine were established. …”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…To further enhance the LSTM performance, the GWO is employed to adaptively optimize the key parameters of the LSTM. Thirdly, to fully leverage the advantages of XGBoost in handling nonlinear relationships and high-dimensional data while overcoming its complexities in parameter tuning and slower convergence, the GA is used to optimize the parameters of XGBoost. …”
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A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset by Stefano Woerner, Arthur Jaques, Christian F. Baumgartner

“…Medical images vary in format, size, and other parameters and therefore require extensive preprocessing and standardization, for usage in machine learning. …”
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Static and dynamic characteristics of optoelectronic discrete converters for automatic measurement of displacements and dimensions by Kholmatov Umid, Ulkanov Sardor, Zingirov Saydolim, Akhunov Rustam, Mansurov Makhamadyakub, Akhmatokhunov Bakhtiyor

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Vertical attitude and its control strategy for shield tunneling in soft soil by ZHAO Kai, HUANG Xin, XIE Liangfu, WANG Jianhu, JIN Zhiyi

“…Sensitivity analysis of parameters shows that 1) the vertical displacement and vertical force of the shield machine exhibit a parabolic variation; 2) the pitch angle of the shield machine and the vertical plane torque show a cubic parabolic variation. …”
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Joint learning equation of state surfaces with uncertainty-aware physically regularized neural networks by Dongyang Kuang, Shiwei Li, Buxuan Wang, Chao Xiong, Shichang Zhang, Yanyao Zhang

“…These benefits can be further enhanced with physics-informed regularizations on quantities such as heat capacity ( $$C_V$$ ), Gr $$\ddot{\text {u}}$$ neisen parameter ( $$\gamma$$ ) or bulk modulus ( $$K_T$$ ).…”
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Vulnerability-Based Economic Loss Rate Assessment of a Frame Structure Under Stochastic Sequence Ground Motions by Zheng Zhang, Yunmu Jiang, Zixin Liu

“…Recent studies have often employed Copula-based joint distributions or machine learning techniques to simulate the statistical dependency between mainshock and aftershock parameters. …”
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Optimizing drying and storage for edible mushrooms: Study on gamma irradiation levels, drying temperatures, and packaging materials with SVM-based predictions by Ehsan Fartash Naeimi, Mohammad Hadi Khoshtaghaza, Kemal Çağatay Selvi, Mariana Ionescu, Soleiman Abbasi

“…This kernel outperformed the others in estimating parameter changes within the integrated SVM-based modeling framework. …”
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Application of Elastic networks and Bayesian networks to explore influencing factors associated with arthritis in middle-aged and older adults in the Chinese community by Tao Zhong, Tianlun Li, Jiapei Hu, Jiayi Hu, Li Jin, Yuxuan Xie, Bin Ma, Bin Ma, Dailun Hu

“…Bayesian networks (BNs) are an excellent machine learning algorithm for extensively exploring the influencing factors associated with many diseases. …”
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Voice as a sensitive biomarker for predicting exercise intensity: a modelling study by Shuyi Zhou, Ruisi Ma, Wangjing Hu, Dandan Zhang, Rui Hu, Shengwei Zou, Dingyi Cai, Zikang Jiang, Hexiao Ding, Ting Liu

“…Acoustic features were extracted using the openSMILE toolkit, focusing on the Geneva Minimalistic Acoustic Parameter Set (GeMAPS) and the Computational Paralinguistics Challenge (ComParE) feature sets. …”
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SynAdult: Multimodal Synthetic Adult Dataset Generation via Diffusion Models and Neuromorphic Event Simulation for Critical Biometric Applications by Muhammad Ali Farooq, Paul Kielty, Wang Yao, Peter Corcoran

“…Our pipeline begins with the rendering of high-fidelity 2D adult facial images using parameter-efficient LoRA-based tuning of the state-of-the-art hyperrealism Stable Diffusion XL (SDXL) model, producing photorealistic outputs across diverse ethnicities and age-specific features. …”
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Effect of roasting time and method on physicochemical and functional properties of roasted maize grain (Asharo) by Masresha Gebeyehu Ewunetu, Zemene Tadege Woldie, Aynadis Molla Asemu

“…In this study, roasting was performed using a newly designed roasting machine (MC) and Mitad (MT). A two-factor factorial experiment (2 × 3) with replication was conducted, three roasting times (30, 40, 50 min) and two roasting methods were tested. …”
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BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals by S. Premanand, Sathiya Narayanan

“…The blending is flexible, and it is controlled by a parameter α, hence the process is termed as alpha blending. …”
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DualTransAttNet: A Hybrid Model with a Dual Attention Mechanism for Corn Seed Classification by Fei Pan, Dawei He, Pengjun Xiang, Mengdie Hu, Daizhuang Yang, Fang Huang, Changmeng Peng

“…The model’s rapid inference capability and low parameter count make it an excellent technical solution for agricultural automation and intelligent systems, thereby enhancing the efficiency and profitability of agricultural production.…”
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