Robustness of Big Language Modeling in Finance by Yao Mohan

“…In the financial field, people use financial big prediction models to solve problems such as stock prediction, risk assessment, etc., but the big language models can be incorrect due to model hallucination and adversarial attacks. …”
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Use of the metaverse to advance wind power generation projects by Harada Norio, Takei Chikako, Kimurai Ichiro

“…In this study, we developed a visualization technique utilizing virtual spaces, one of the recent metaverse technologies, and a shadow prediction technology for wind power generation facilities. …”
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Calculation of Subsidence due to Longwall Mining with Overburden Grouting and Its Application by Hewen Ma, Yadong Ji, Shidong Wang

“…This paper presents a prediction method of mining-induced surface subsidence due to longwall mining with overburden grouting, which has been proven an effective method to mitigate the overburden failure. …”
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Discussion on Muskingum versus Integrator-Delay Models for Control Objectives by Yolanda Bolea, Vicenç Puig, Antoni Grau

“…Due to a lack of general awareness of Muskingum prediction model in regulation from the control community, authors present this comparative study with the ID control model. …”
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Intelligent Informatization Early Warning Analysis of Agricultural Economy Based on Support Vector Sequential Regression Model by Ying Yang

“…Experimental results show that the prediction accuracy is 99.3%, the error is less than 0.05, and the prediction effect is relatively ideal, for agricultural economic intelligence information to provide accurate warning and agricultural economic research agricultural commercial development to provide support.…”
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Cutting Force Predication Based on Integration of Symmetric Fuzzy Number and Finite Element Method by Zhanli Wang, Yanjuan Hu, Yao Wang, Chao Dong, Zaixiang Pang

“…The experimental result shows that the method is effective for the uncertain prediction of cutting force.…”
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A Crude Oil Spot Price Forecasting Method Incorporating Quadratic Decomposition and Residual Forecasting by Yonghui Duan, Ziru Ming, Xiang Wang

“…Ultimately, the empirical investigation created the feature-variable system and predicted the filtered features. By computing evaluation indices like MAE, MSE, R2, and MAPE and validating using Brent and WTI crude oil spot, the prediction errors of the CEEMDAN -RES.…”
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Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks by Dapeng Zhang, Feng Xiao, Gang Kou, Jian Luo, Fan Yang

“…Accurate and reliable taxi demand prediction is of great importance for intelligent planning and management in the transportation system. …”
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Transportation Laws for Carbonate and Sulfate Ions in Concrete Based on Compartment Model by Boxin Wang, Ruichang Fang, Xu Chai, Qing Wang

“…The compartment model was applied to predict the content of carbonate and sulfate ions in different regions of concrete. …”
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Enhancing Medical Diagnostics with Machine Learning: A Study on Ensemble Methods and Transfer Learning by Zhang Jiaming

“…Specifically, these techniques are applied to large-scale datasets, to address tasks like disease detection, patient outcome prediction, and managing uncertainty in medical data. …”
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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network by Wenguang Yu, Guofeng Guan, Jingchao Li, Qi Wang, Xiaohan Xie, Yu Zhang, Yujuan Huang, Xinliang Yu, Chaoran Cui

“…With consideration of various factors, a total claim amount prediction model is established, and the trained BP neural network model is used to predict the total claim amount of automobile insurance based on the data of the training set. …”
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Coordinated frequency modulation strategy considering source–load uncertainty by Xiaohong Dong, Shuo Wang, Dengxin Ai, Yang Ma, Xiaodan Yu

“…For the wind speed prediction error and the uncertainty of EV off-grid time, a cooperative frequency modulation (FM) strategy is proposed.MethodsFirstly, the wind speed interval is divided based on the operating characteristics of WTGs and the load reduction rate. …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Traditional deep learning-based prediction methods predominantly rely on weather radar data to quantify precipitation, often neglecting the integration of the thermal processes involved in the formation and dissipation of precipitation, which leads to reduced prediction accuracy. …”
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Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

“…Therefore, it’s of great importance to research forest fire risk assessment and prediction to protect the ecological environment of forests, respond to disaster damage in time and mitigate the effect of disasters. …”
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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

“…To construct an IPF risk prediction model, we employed LASSO-Cox regression analysis and the SVM-RFE algorithm. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…The medical doctors may make an early prediction by observing the physical signs and symptoms. …”
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Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique by Ishrat Zahan Tani, Kah Ong Michael Goh, Md Nazmul Islam, Md Tarek Aziz, S. M. Hasan Mahmud, Dip Nandi

“…This system not only predicts the disease but also generates the prediction probabilities of each class, which enhances both clarity and diagnostic insight. …”
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Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort by Matthew Sperrin, Haval Balata, Richard Booton, Hilary A Robbins, Philip A J Crosbie, Patrick Goodley

“…Objective Risk prediction models are used to determine eligibility for targeted lung cancer screening. …”
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Analysis of Cumulative Damage Characteristics of Long Spiral Belled Pile under Horizontal Cyclic Loading at Sea by Haian Liang, Hao Zeng, Kaiwei Cao, Chao Liu, Xinjun Cheng

“…A power function model for energy dissipation coefficient prediction under multi-stage cyclic load was proposed. …”
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Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design by Fang Qi, Kaitlin N. Smith, Travis LeCompte, Nian-feng Tzeng, Xu Yuan, Frederic T. Chong, Lu Peng

“…The ESP suffers poor prediction since it fails to account for the unique combination of circuit structure, quantum state, and quantum computer properties specific to each program execution. …”
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