Improved Word Segmentation System for Chinese Criminal Judgment Documents by Chi Zhang

“…BERT uses a deep bidirectional Transformer encoder to pre-train general language representations from large-scale unlabeled text corpora. …”
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A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures by Wendi Jia, Quanlong Chen

“…This model serves as an effective method and provides valuable data support for the rapid and accurate assessment of wing structures, highlighting its significant practical applications.…”
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Development of a Non-Uniform Heat Source Model for Accurate Prediction of Wheel Tread Temperature on Long Downhill Ramps by Jinyu Zhang, Jingxian Ding, Jianyong Zuo

“…Four heat source models—constant, modified Gaussian, sinusoidal, and parabolic distributions—were developed based on energy conservation principles and validated through experimental data. …”
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Academic Productivity at Orthopaedic Surgery Sports Medicine Fellowship Programs in the United States Has a Weak Positive Correlation With Nonresearch Lifetime Industry Earnings by Benjamin Miltenberg, M.D., William L. Johns, M.D., Anthony N. Baumann, D.P.T., Faheem Pottayil, M.S., Bradley Richey, M.D., Albert T. Anastasio, M.D., Kempland C. Walley, M.D., Christopher C. Dodson, M.D., Sommer Hammoud, M.D.

“…Frequency counts and other descriptive statistic measures were used to describe the data for this study. Correlation was performed for continuous data using Spearman’s ρ. …”
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A meta-learning approach to improving transferability for freeway traffic crash risk prediction by Chenlei Liao, Xiqun (Michael) Chen

“…Due to the limited availability of crash data in some freeway sections, model transferability of crash risk prediction has become an essential topic in traffic safety research. …”
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Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent. by Alejandra de-la-Rica-Escudero, Eduardo C Garrido-Merchán, María Coronado-Vaca

“…In particular, DRL algorithms train an agent by estimating the distribution of the expected reward of every action performed by an agent given any financial state in a simulator, also called gymnasium. …”
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Schedule-based analysis of airborne transmission risk in public transportation systems by Jiali Zhou, Haris N. Koutsopoulos

“…Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. …”
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Effects of track and rolling stock interaction on track condition and maintenance by Oleg A. Suslov

“…The study of the actual damage rate on the network and the Eastern Polygon sections involved automatic devices collecting wheel — rail interaction data for several months and determined the laws and parameters of their distribution.Results. …”
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Turbidity Estimation by Machine Learning Modelling and Remote Sensing Techniques Applied to a Water Treatment Plant by Víctor Gauto, Enid Utges, Elsa Hervot, Maria Daniela Tenev, Alejandro Farías

“…Combining laboratory measurements from a water treatment plant in North-East Argentina and spectral data from the Sentinel-2 satellite platform, several regression algorithms were proposed, trained, and compared for turbidity estimation at the plant inlet water in a local river. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…The trained MLP model is then used to estimate the depth over the entire lake areas. …”
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Passenger Flow Prediction of Integrated Passenger Terminal Based on K-Means–GRNN by Yifan Tan, Haixu Liu, Yun Pu, Xuemei Wu, Yubo Jiao

“…In addition, the passenger flow data are studied and trained by combining with the GRNN neural network model based on parameter optimization (GA); the passenger flow prediction model is obtained. …”
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Radar Obstacle Detection Based on Pre-Built Maps in Rail Transit Scenarios by LI Yuanzhengyu, PAN Wenbo, HUANG Wenyu, CHEN Zhiwei, YUAN Chao, YANG Zhenyu

“…Localization is achieved for moving trains through real-time matching between the laser point clouds and point cloud maps. …”
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Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog by Hai-Cheng Feng, Rui Li, Nicola R. Napolitano, Sha-Sha Li, J. M. Bai, Yue Dong, Ran Li, H. T. Liu, Kai-Xing Lu, Zhi-Wei Pan, Mario Radovich, Huan-Yuan Shan, Jian-Guo Wang, Wen-Zhe Xi, Ling-Hua Xie, Zun-Li Yuan, Yang-Wei Zhang

“…The trained model achieves 98.76% overall accuracy on an independent testing data set, with F1-scores exceeding 95% for each class. …”
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GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization by Jinghui Jiang, Dongjoon Kim, Bohyoung Kim, Yeong-Gil Shin

“…While VQ-VAE models have shown promise in learning discrete latent representations for complex data distributions, their performance is often limited by underutilized tokens in the codebook, particularly those representing local features, resulting in incomplete feature capture. …”
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The Hourglass Simulation: A Catalog for the Roman High-latitude Time-domain Core Community Survey by B. M. Rose, M. Vincenzi, R. Hounsell, H. Qu, L. Aldoroty, D. Scolnic, R. Kessler, P. Macias, D. Brout, M. Acevedo, R. C. Chen, S. Gomez, E. Peterson, D. Rubin, M. Sako, the Roman Supernova Project Infrastructure Team

“…Additionally, Hourglass is a useful data set to train machine learning classification algorithms. …”
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CodonTransformer: a multispecies codon optimizer using context-aware neural networks by Adibvafa Fallahpour, Vincent Gureghian, Guillaume J. Filion, Ariel B. Lindner, Amir Pandi

“…Nevertheless, natural sequences optimized through evolution provide a rich source of data for machine learning algorithms to explore the underlying rules. …”
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Structural optimisation of planetary gearbox components by Marinkovic Aleksandar, Sedak Miloš, Lazović Tatjana, Rosić Maja

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Double difference earthquake location with graph neural networks by Ian W. McBrearty, Gregory C. Beroza

“…We implement our model on several distinct test cases, including seismicity from northern California, Türkiye, and northern Chile, which have highly variable data quality, and station and source distributions. …”
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Deep‐Learning‐Enhanced Electron Microscopy for Earth Material Characterization by Hans vanMelick, Richard Taylor, Oliver Plümper

“…The paired HR and LR images are then used to train a Generative Adversarial Network, where a generator and discriminator jointly train through an adversarial process to produce HR images from LR inputs. …”
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DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…The experimental results demonstrate that DPN-GAN delivers superior performance on both out-of-distribution and noisy data, showcasing its robustness and adaptability. …”
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