Bearing clearance test and lifetime analysis for EMU traction motor by GENG Min, ZHAO Pengyu, LI Xiaoyang, LEI Guanbiao, WANG Xilian

“…The mechanical load is the only factor of influence considered in the traditional bearing lifetime prediction algorithm. However, for the traction motor of the electric multiple units (EMUs) in actual working conditions, its bearing is also subject to the additional electromagnetic load derived from the additional radial electromagnetic force acting on its rotor, which is under effect of bearing clearance. …”
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A Statistical Framework for Modeling Behavioral Engagement via Topic and Psycholinguistic Features: Evidence from High-Dimensional Text Data by Dan Li, Yi Zhang

“…This study investigates how topic-specific expression by women delivery riders on digital platforms predicts their community engagement, emphasizing the mediating role of self-disclosure and the moderating influence of cognitive and emotional language features. …”
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Where the wild bees are: Birds improve indicators of bee richness. by Josée S Rousseau, Alison Johnston, Amanda D Rodewald

“…We used a Bayesian variable selection algorithm to select variables that best predicted species richness of bees using two datasets: a semi-structured dataset covering a wide geographical and temporal range and a structured dataset covering a focused extent with a standardized protocol. …”
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Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models by Yi Yang

“…The paper explores the subject of data flow optimization using Fuzzy Assisted Cuckoo Search Optimization (FACSO), traffic flow using Gaussian Process Regression (GPR), and CH prediction using the Stochastic Optimization Algorithm (SOA). …”
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Multi-LiDAR-Based 3D Object Detection via Data-Level Fusion Method by Yu Luo, Tao Wang, Shuai Lu, Xuerui Dai, Zhi Li

“…Our algorithm has improved the global trajectory fusion rate from 91.7% to 95.6%. …”
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Model-Based Offline Reinforcement Learning for AUV Path-Following Under Unknown Ocean Currents with Limited Data by Xinmao Li, Lingbo Geng, Kaizhou Liu, Yifeng Zhao

“…To address this, we propose a conservative offline model-based Q-learning (CMQL) algorithm. This algorithm is robust to unknown disturbance and efficient in data utilization. …”
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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A short-term photovoltaic power forecasting method is proposed, integrating variational mode decomposition (VMD), an improved dung beetle algorithm (IDBO), and a deep hybrid kernel extreme learning machine (DHKELM). …”
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Optimization strategy of UAV‐ARIS assisted vehicular communication system by Haitao Zhao, Zhuoran Xu, Yiyang Ni, Wenxue Sun, Hongbo Zhu, Yaxuan Liu, Zhaoying Mo

“…The authors first provide a UAV‐ARIS based position prediction strategy for the vehicle. Then, a joint RIS phase shift, amplification and UAV trail optimization algorithm is proposed to pursue a high achievable rate. …”
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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…The filtered features are then input into the FEDformer model, providing preliminary short-term and long-term sequence prediction results. Finally, a point-by-point forecasting method based on a tree model generates multi-point load prediction results by training multiple LightGBM models. …”
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Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

“…This study provides an economical, rapid, and efficient method for predicting shale lithofacies and main mineral components. …”
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A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems by Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra, Elías Marqués-Valderrama, Sergio Cruces

“…The FD-SBL algorithm is proposed to first identify the active FD regressors and estimate the coefficients of the PA model using a given symbol, and then, the coefficients are employed to predict the distortion of successive OFDM symbols. …”
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Common Secret Key Derivation Based on Synchronized Artificial Neuronal Networks Using Multispeed Weighted Coefficients Correction by V. F. Golikov, N. V. Brych

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PARAMETRIC AUDIO CODER BASED ON SPARSE APPROXIMATION WITH FRAME-BASED PSYCHOACOUSTIC OPTIMIZED WAVELET PACKET DICTIONARY by Al. A. Petrovsky, V. Y. Herasimovich

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The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…</p> <p>The generalised nature of the algorithm means it is applicable not only to geochronology but also more broadly within the geosciences where predictable linear (<span class="inline-formula"><i>x</i></span>-to-<span class="inline-formula"><i>y</i></span>) relationships exist.…”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…Each target domain slice can deploy this estimator to predict its QoS and optimize slice resource allocation using the IDLA algorithm. …”
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Automated Support Generation for Fixed Partial Dentures and Impact of Bone Loss, Bone Quality and Support Types: Parametric Cad and Finite Element Analysis by Hassen Jemaa, Michael Eisenburger, Andreas Greuling

“…<b>Conclusions</b>: The proposed algorithm allows for the automatic, parametrised generation of support for 4-unit fixed partial dentures, which can be used to predict the effect of bone loss and bone quality on stresses for patient-specific geometries. …”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…In this paper, an optimized path planning method for coastal ships based on improved Deep Deterministic Policy Gradient (DDPG) and Douglas–Peucker (DP) algorithm is proposed. Firstly, Long Short-Term Memory (LSTM) is used to improve the network structure of DDPG, which uses the historical state information to approximate the current environmental state information, so that the predicted action is more accurate. …”
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Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study by Shan Hong, Ziyu Liu, Ping Li, Jing Zhang, Hongshan Wei

“…Serum GP73 levels independently predicted significant liver fibrosis (adjusted odds ratio, aOR 1.028, p&lt; 0.001). …”
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Carboxypeptidase Q(CPQ) promotes glioma progression by inducing M2 macrophage polarization and immunosuppression by Zhihao Qi, Rui Hu, Moyang Qi, JianDong Zuo

“…The GSEA algorithm was utilized to analyze signal pathways between CPQ high- and low-expressing groups. …”
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RESEARCH OF THE PERFORMANCE OF SOCIAL PROCESSES ON THE EXAMPLE OF REGISTRATION OF ENROLLEES FOR STATE EXAMS by I. V. Kovalenko, S. A. Pottosina

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