Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

“…The spontaneous combustion of residual coals in the mined-out area tends to cause an explosion, which is one kind of severe thermodynamic compound disaster of coal mines and leads to serious losses to people's lives and production safety. The prediction and early warning of coal mine thermodynamic disasters are mainly determined by the changes of the index gas concentration pattern in coal mine mined-out areas collected continuously. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…There are some useful findings: (1) the proposed model outperformed empirical rule-based detection models; (2) image enhancement method can largely improve crash detection performance under low-visibility conditions; (3) the accuracy of object detection (e.g., bounding box prediction) can impact crash detection performance, especially for minor motor-vehicle crashes. …”
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Evaluation Uncertainty in the Volume of Oil in Place in Mishrif Reservoir by Loay Khamees, Farah Abdulrazzaq

“…Uncertainty methods can be used based on several reservoir factors to predict a range of reserve values, each value gives a range of production forecasts. …”
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Investigation of Traffic Loading Effects for Different Codes on Medium- and Small-Span Girder Bridges in China by Qingfei Gao, Biao Wu, Jun Li, Kemeng Cui, Chuang Xu

“…The conclusion in this study can provide a basis for bridge structure evaluation and life prediction.…”
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Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network by Jingfeng Yang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Lufeng Luo

“…To solve the problem for a large number of data transmissions in an actual operation, wireless transmission is proposed for text information (including position information) on the basis of the principles of the maximum entropy probability and the neural network prediction model combined with the optimization of the Huffman encoding algorithm, from the exchange of data to the entire data extraction process. …”
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Response Analysis of Deep Foundation Excavation and Dewatering on Surface Settlements by Xian Li, Tingguo Zhou, Yixian Wang, Junling Han, Yanqiao Wang, Fang Tong, Delong Li, Jinmei Wen

“…Accurate prediction of surface settlements is a primary concern when deep excavations were carrying out under the water table in urban environments for the safety of the work site. …”
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Experimental Study on Mechanical Properties of CFRP-Confined Concrete Columns under Continuous Semi-Submergence of Sulfate by Mingxi Cai, Lijun Shao, Jiawei Zhang, Kaijin Xu, Jie Zhang, Penggang Li

“…Based on a comparison with experimental data, the model prediction curves indicate good agreement with the experimental curves and can therefore provide a theoretical basis and practical reference for CFRP-reinforced semi-submerged concrete in saline soil areas.…”
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Investigation and Assessment of the CFD for Horizontal Flow in the VHTR Core by Yan Shengyuan, Jean Luc Habiyaremye, Wei Yingying, Cong Chi Tran

“…A model simulation was performed on a two-prismatic fuel block with a cross gap to examine the gaping size effect. Finally, the prediction methods for horizontal flow phenomena using a CFD technique and the field investigation results from the VHTR core were verified, and the identification of the horizontal flow behavior played a vital role in investigating the coolant velocity and pressure distribution in the horizontal gap.…”
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Advances and Challenges in Pediatric Sepsis Diagnosis: Integrating Early Warning Scores and Biomarkers for Improved Prognosis by Susanna Esposito, Benedetta Mucci, Eleonora Alfieri, Angela Tinella, Nicola Principi

“…This review examines the roles of clinical prediction tools and biomarkers in pediatric sepsis. …”
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Thromboelastography parameters in chronic viral liver disease and liver resection: a retrospective study by Ying Di, Jialu Li, Chunjuan Ye, Zheng Wang, Qianqian Zhu

“…TEG utility for haemostasis assessment and prediction of blood loss during liver resection should be further explored in high-quality studies.…”
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Modelling of Transient CO2/Water Flow in Wellbore considering Multiple Mass and Heat Transfer by Xinxin Zhao, Xiangzhen Yan, Xiaohui Sun, Qing Zhao, Hongwei Jiang, Yonghai Gao, Guang Yang

“…Through a comparison of CO2 and CH4 kicks, gas dissolution is found to significantly suppress the development process of CO2 kick. The error in kick prediction can reach 42% if the effect of gas dissolution is neglected. …”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…This study aims to predicting the variations of groundwater storage (GWS) using GRACE/GRACE-FO and multi-source remote sensing data, combined with machine learning techniques. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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The Audiological Profile and Rehabilitation of Patients with Incomplete Partition Type II and Large Vestibular Aqueducts by Beyza Demirtaş, Merve Özbal Batuk, Hilal Dinçer D’Alessandro, Gonca Sennaroğlu

“…The most widely used AR modality was found to be HA. Prediction of sudden versus progressive HL development among patients is challenging, and the characteristics of IP-II vary. …”
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Age Cutoff and Yield of Prompt Esophagogastroduodenoscopy to Detect Malignancy in Vietnamese with Upper Gastrointestinal Symptoms: An Endoscopic Database Review of 472,744 Patients... by Duc Trong Quach, Lan Thi-Ngoc Tran, Truc Le-Thanh Tran, Vy Ly-Thao Tran, Nhan Quang Le, Toru Hiyama

“…Different age cutoffs were evaluated in terms of their prediction of the absence of UGIM. The yield of endoscopy to detect one malignancy (YoE) was also calculated. …”
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The influence of mutually beneficial and self-beneficial situations on the lying behavior and cognition of Chinese 4- to 5-year-old children by Dan Kang, Yingjie Zhang, Xiwu Xu, Jiajia Li

“…Experiment 2 revealed that, compared with self-beneficial situations, children in mutually beneficial situations were more likely to judge untrue statements as truth, to evaluate lying positively, and to predict that they would lie. Further, in mutually beneficial situations, children’s predicted and actual lying behaviors are significantly positively correlated.ConclusionThese findings support the folk model and highlight the influence of sociocultural factors on lying in Chinese 4- to 5-year-old children. …”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…Overall, our results confirm the high applicability of ML to short-term air quality prediction with the perfect prog approach.…”
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Do MCHC, MPV, and Procalcitonin Levels Determine Prognosis in Acute Coronary Syndrome? by Serhat Karaman, Abuzer Coskun

“…High PCT, MCHC, and MPV levels in acute coronary syndrome may be beneficial predictive values in terms of complications that may develop, TVCAD, and mortality.…”
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Development Favorable Area and Productivity Potential Evaluation Method of a Tight Oil Reservoir by Shuping Wang, Fengpeng Lai, Kongjie Wang, Zhiping Li, Hong Wang

“…Two types of methods evaluating areas favorable for tight oil and gas production are explained here as well, including model prediction and the combination of geological modeling and reservoir simulation. …”
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Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery by Haoran Sun, Siqiao Tan, Zhengliang Luo, Yige Yin, Congyin Cao, Kun Zhou, Lei Zhu

“…Accurately obtaining both the number and the location of rice plants plays a critical role in agricultural applications, such as precision fertilization and yield prediction. With the rapid development of deep learning, numerous models for plant counting have been proposed. …”
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