Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells by LIU Honglin,ZHOU Shangwen,LI Xiaobo

“…To achieve this goal, a novel approach is introduced, which couples principal component analysis（PCA） and orthogonal partial least square（OPLS） analysis, enabling rapid and accurate prediction of reserve production degree. The new method is put to the test using Zhaotong shale gas well samples to evaluate its effectiveness in predicting reserve recovery ratios. …”
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Prediction Method for the Distribution of the Effective Dominant Path of Sand Bodies Transporting Oil and Gas and Its Application by Yong Chen, Yachun Wang, Yinghua Yu, Hongqi Yuan, Yunfeng Zhang, Yaxiong Zhang

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hERG toxicity prediction in early drug discovery using extreme gradient boosting and isometric stratified ensemble mapping by Gabriela Falcón-Cano, Aliuska Morales-Helguera, Heather Lambert, Miguel-Ángel Cabrera-Pérez, Christophe Molina

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A novel geometric heart rate variability mapping method for enhanced bradycardia prediction in preterm infants by Mohammad Karimi Moridani, Soroor Behbahani

“…The proposed mapping method shows robustness in predicting bradycardia with high sensitivity, specificity, and accuracy. …”
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Proposing an Adaptive Neuro-Fuzzy System-Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids by Gong Han, Amir Seraj

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Charging Scheduling Method for Wireless Rechargeable Sensor Networks Based on Energy Consumption Rate Prediction for Nodes by Songjiang Huang, Chao Sha, Xinyi Zhu, Jingwen Wang, Ruchuan Wang

“…Then, we transform the goal into Maximizing the value of the Evaluation function of each node’s Energy Consumption Rate prediction (MEECR). …”
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Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk by Hristo V. Uzunov, Plamen G. Matzinski, Vasil H. Uzunov, Silvia V. Dechkova

“…The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study presents a comparative analysis of two methodologies for predicting the risk of pedestrian traffic accidents: a methodology based on proportional risk distribution and the Random Forest algorithm. …”
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Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method by Chia-Hao Shih, Elyssa Charlotte Feuer, Ben Kurzion, Kevin Xu, Hong Xie, Stephen R. Grider, Xin Wang

“…Its efficiency in utilizing a minimal set of questions for prediction highlights its potential for practical application in early PTSD detection and intervention strategies.Conclusion: The CART framework demonstrates a streamlined and efficient method for predicting PTSD onset in trauma survivors. …”
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A Method for Estimating Instantaneous Predicted Mean Vote Under Dynamic Conditions by Accounting for Thermal Inertia by László Lenkovics, László Budulski, Gábor Loch, Anett Tímea Grozdics, Ágnes Borsos, Zsolt Kisander, János Girán, Mária Eördöghné Miklós, Balázs Cakó

“…We collected experimental data using a thermal comfort measurement station, a thermal manikin, and human subjects in a controlled climate chamber. The proposed method enables real-time evaluation of thermal comfort in dynamic environments and offers a foundation for integration into HVAC control and comfort optimization systems.…”
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A High Accuracy Spatial Reconstruction Method Based on Surface Theory for Regional Ionospheric TEC Prediction by Jian Wang, Yi‐ran Liu, Ya‐fei Shi

“…Compared with the Kriging interpolation with scale factor, the prediction accuracy of the HASR method is improved by 8.5%. …”
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A novel destination prediction attack and corresponding location privacy protection method in geo-social networks by Di Xue, Li-Fa Wu, Hua-Bo Li, Zheng Hong, Zhen-Ji Zhou

“…Experimental results show the great prediction ability of Destination Prediction approach, the effective protection capability of Check-in Deletion method against destination inference attacks, and high running efficiency of the Destination Prediction + Check-in Deletion framework.…”
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A deep learning-based hybrid method for PM2.5 prediction in central and western China by Zuhan Liu, Zihai Fang, Yuanhao Hu

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LPBERT: A Protein–Protein Interaction Prediction Method Based on a Pre-Trained Language Model by An Hu, Linai Kuang, Dinghai Yang

“…LPBERT, which is based on ProteinBERT, combines Convolutional Neural Networks, Transformer encoders, and Bidirectional Long Short-Term Memory networks to achieve efficient prediction. Upon evaluation using the BioGRID <i>H. sapiens</i> and <i>S. cerevisiae</i> datasets, LPBERT outperformed other comparison methods, where it achieved accuracies of 98.93% and 97.94%, respectively. …”
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Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models by Hamzeh F. Assous

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Progressive Landslide Prediction Using an Inverse Velocity Method with Multiple Monitoring Points of Synthetic Aperture Radar by Yi Ren, Yihai Zhang, Zhengxing Yu, Mengxiang Ma, Shanshan Hou, Haitao Ma

“…Systematic stability evaluations were conducted for both single-point predictions and multi-point ensemble forecasts. …”
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A new method to predict refracture risk after locking compression plate removal of clavicle shaft by Shuai Han, Qinghe Wang, Fang Tan, Kun Li, Shuang Li

“…This study tries to introduce a new method to predict the refracture risk of the clavicle after hardware removal. …”
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Model of Urine Accumulation in the Bladder and Method for Predicting Unconstrained Urine Volume Based on Absorption Spectrum of Urine by Y. Kurihara, T. Yamasaki, T. Kaburagi, S. Kumagai, T. Matsumoto

“…We performed a series of experiments to evaluate the proposed method and calculated its error rate based on the actual amount of urine and that predicted using the method. …”
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A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models by Xuesong Wang, Jiapeng Yin, Jianbing Li, Yongzhen Li

“…To evaluate the impact of model input errors on prediction methods, this work analyzes the influence mechanism of the wind field detection error on the airdrop prediction method via the Relative Gain Array (RGA) and verifies the analytical results using the numerical simulation method. …”
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Rapid assessment of seismic performance for multi-story RC frame buildings using direct prediction method by Xin Chen, Haojie Hu, Wenwei Fu, Tao Liu, Yong Sun, Cong Liu

“…This paper also includes an application study to evaluate the feasibility of the proposed method. Comparative analysis of RC frame damage assessments using various methods reveals that the calculation results of the direct prediction method are not significantly different from the other three methods, meeting the need for rapid assessment of seismic performance. …”
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Construction of a Surface Roughness and Burr Size Prediction Model Through the Ensemble Learning Regression Method by Ali Khosrozadeh, Seyed Ali Niknam, Fatemeh Hajizadeh

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