Cylindrical Caved Space Stability Analysis for Extension Prediction of Mining-Induced Surface Subsidence by Yang Liu, Yongxiang Ge, Congrui Zhang, Fengyu Ren, Junsheng Ma, Gaofeng Ren

“…The anisotropy of surrounding rocks is further involved to enable this model to analyze the slip failure along discontinuities in anisotropic stress state. The prediction for the extension of the surface subsidence in Xiaowanggou iron mine is conducted, and the comparison between the prediction and the observation in satellite images demonstrates the validity of the proposed model. …”
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Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks by Alireza Pourkeyvan, Ramin Safa, Ali Sorourkhah

“…This study uses social media and pre-trained language models to explore how user-generated data can predict mental disorder symptoms. Our study compares four different BERT models of Hugging Face with standard machine learning techniques used in automatic depression diagnosis in recent literature. …”
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Quadcopter Trajectory Tracking Based on Model Predictive Path Integral Control and Neural Network by Yong Li, Qidan Zhu, Ahsan Elahi

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Conflict Probability Prediction and Safety Assessment of Straight-Left Traffic Flow at Signalized Intersections by Yingying Ma, Zihao Zhang, Jiabin Wu

“…However, the existing literature has mainly focused on the statistical prediction of conflicts by using surrogate measurements, among which the spatial-temporal characteristics of the potential conflicts have been less addressed. …”
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images. …”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

“…Predictions used spatially exhaustive, auxiliary, and environmental covariables. …”
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GPS Position Prediction Method Based on Chaotic Map-Based Flower Pollination Algorithm by Wanjun Yang, Zengwu Sun

“…GPS position data prediction can effectively alleviate urban traffic, population flow, route planning, etc. …”
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Predicting Pumpability and Shootability of Crushed Aggregate Wet-Mix Shotcrete Based on Rheological Properties by Kyong-Ku Yun, Pangil Choi, Jung Heum Yeon

“…In particular, the use of metakaolin was found to substantially increase the predicted build-up thickness only with a small replacement. …”
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Does Fetal Fibronectin Predict the Delivery Route in Nulliparous Women at Postterm Induced by Dinoprostone? by Hale Goksever Celik, Engin Celik, Gonca Yetkin Yildirim

“…Conclusion: Fetal fibronectin test has a predictive value for delivery route in nulliparous women at postterm. …”
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Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index by Sunghwan Bae, Sungkyoung Choi, Sung Min Kim, Taesung Park

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The prediction of attitude towards cheating based on spiritual intelligence and achievement goal orientation in students by maryam sheykh, Solmaz Dabiri

“…The purpose of this study was to predict attitude towards cheating based on spiritual intelligence and the achievement goal orientation (mastery-approach, mastery-avoidance, performance-approach and performance-avoidance) in students. …”
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

“…Random Forest machine learning predicts high WHR with high accuracy, sensitivity and specificity. …”
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Predicting Olympic Medal Trends for Southeast Asian Countries Using the Facebook Prophet Model by Bagus Al Qohar, Yulizchia Malica Pinkan Tanga, Putri Utami, Maylinna Rahayu Ningsih, Much Aziz Muslim

“…A lot of work has been done to develop prediction models emphasizing improving accuracy to predict Olympic outcomes. …”
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Plasma Clusterin Concentrations May Predict Resistance to Intravenous Immunoglobulin in Patients with Kawasaki Disease by Mei-Chen Ou-Yang, Ho-Chang Kuo, I-Chun Lin, Jiunn-Ming Sheen, Fu-Chen Huang, Chih-Cheng Chen, Ying-Hsien Huang, Ying-Jui Lin, Hong-Ren Yu

“…The study aimed to identify a reliable marker for predicting nonresponsiveness to the first course of intravenous immunoglobulin (IVIG) in KD patients. …”
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A Prediction Model for External Root Resorption of the Second Molars Associated With Third Molars by Zhengwei Kou, Wuyang Zhang, Chen Li, Yu Zhang, Zijian Song, Yuzhen Zou, Haijing Wang, Zhenghua Liu, Bahetibieke Huerman, Tiange Deng, Kaijin Hu, Yang Xue, Ping Ji

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Prediction of the Location of Concealed Pluton on the Spatial Variation Characteristics of Volatile Matter in Coal Seams by Yihao Li, Jingui Zhao, Wensheng Li

“…This pattern strongly suggests that the concealed pluton is developed in the underlying layer of the coal seam. (2) According to the linear fitting of the relevant data, it is predicted that the concealed pluton is located at a depth of 65.4 m below the No. 9 coal seam. …”
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Prediction and Evaluation of Coal Mine Coal Bump Based on Improved Deep Neural Network by Shuang Gong, Yi Tan, Wen Wang

“…Coal bump prediction is one of the key problems in deep coal mining engineering. …”
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ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster by Eva Volna, Martin Kotyrba, Hashim Habiballa

“…The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. …”
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Prediction of Groundwater Level Based on the Integration of Electromagnetic Induction, Satellite Data, and Artificial Intelligent by Fei Wang, Lili Han, Lulu Liu, Yang Wei, Xian Guo

“…Subsequently, a strategy to improve the prediction accuracy of GWL was proposed by comparing the correlation between GWL observations and the two models. …”
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Role of Serum Amyloid A as a Biomarker for Predicting the Severity and Prognosis of COVID-19 by Amal A. Abbas, Asma Alghamdi, Sonia Mezghani, Mourad Ben Ayed, Ahmed M. Alamori, Ghazi A. Alghamdi, Wail Bajhmom, Hanan Wajeeh, Salma S. Almutairi, Wafaa M. Radwan

“…To detect biomarkers that can be used to predict COVID-19 severity to identify patients with high probability of disease progression and poor prognosis. …”
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