Prediction of Equipment Failure Rates in Power Distribution Networks based on Machine-learning Method by Rita Jamasheva, Noor Hanoon Haroon, Ahmed Read Al-Tameemi, Israa Alhani, Ali Murad Khudadad, Bahira Abdulrazzaq Mohammed, Ali H. O. Al Mansor, Mustafa Asaad Hussein

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Positioning Errors Predicting Method of Strapdown Inertial Navigation Systems Based on PSO-SVM by Xunyuan Yin, Yingbo Sun, Changhong Wang

“…The strapdown inertial navigation systems (SINS) have been widely used for many vehicles, such as commercial airplanes, Unmanned Aerial Vehicles (UAVs), and other types of aircrafts. In order to evaluate the navigation errors precisely and efficiently, a prediction method based on support vector machine (SVM) is proposed for positioning error assessment. …”
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A Drug-Target Interaction Prediction Method Based on Attention Perception and Modality Fusion by PENG Yang, ZHU Xiaofei, HU Dongdong

“…[Results] Finally, the experimental results on the three public datasets show that the main evaluation indicators have been improved, and the method can predict the interaction between drugs and targets more accurately.…”
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Method for predicting cutter remaining life based on multi-scale cyclic convolutional network by Tao Li, Yinquan Yu, Chaoqiang Huang, Jinwen Yang, Yuanchang Zhong, Yong Hao

“…This method breaks through the limitations of the convolutional neural network prediction model in this field and provides a theoretical basis for evaluating the remaining service life of the cutter.…”
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MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction by Zhijian Liu, Jikai Chen, Hang Dong, Zizhuo Wang

“…This paper proposes a novel multi-variate multi-scale wind power prediction method named multi-scale variational mode decomposition informer (MSVMD-Informer). …”
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A method of fatigue life prediction for rubber materials based on convolutional neural network by Jiao Li, Qi Li, Feng Wang, Liuxiangzi Yang, Mingshan Lou

“…Using the obtained fatigue test data, a CNN model was developed, incorporating environmental temperature, material hardness, and peak engineering strain as input features, with the corresponding measured fatigue life of rubber materials as the output. The prediction performance of the CNN model was then evaluated against physical models, BPNN, and SVM models. …”
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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…Finally, on the basis of completing feature extraction, this paper applies an unsupervised feature selection method. The sensitive characteristics of life prediction and the prediction results of a single SVM model and a neural network model are compared and analyzed at the same time.…”
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Prediction of the digestibility and digestible energy content of hay for horses using an enzymatic degradability method by D. Andueza, W. Martin-Rosset

“…In ruminants, pepsin-cellulase degradability, expressed as dry matter enzymatic degradability (dCS) and organic matter enzymatic degradability (dCO), is a commonly employed method for predicting OMD in forage types. The objective of this study was to evaluate the feasibility of predicting the dry matter digestibility (DMD), OMD, energy digestibility (ED) and digestible energy (DE) content of hay through enzymatic degradability or a combination of enzymatic methods with other chemical composition parameters. …”
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A Novel Method to Predict Phase Fraction Based on the Solidification Time on the Cooling Curve by Junfeng Xu, Yindong Fang, Tian Yang, Changlin Yang

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Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning by Meiyan Zhao, Yuhu Zhang, Tao Hu, Peng Wang

“…The mean absolute error (MAE), mean relative error (MRE), and Kendall rank correlation (Kendall) are used to assess the point prediction models. The performance of interval prediction methods is evaluated by the prediction interval coverage probability (PICP), prediction interval normalized average width (PINAW), and coverage width criteria (CWC). …”
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Method of predicting the outcome of surgical treatment in Dupuytren's contracture based on leukocyte formula indices by Natalya A. Shchudlo, Lyudmila I. Sbrodova, Daria A. Ostanina

“…Introduction World literature indicates the relevance of predicting the outcomes of Dupuytren's contracture (DC) treatment, including those based on laboratory methods. …”

Efficient Inter-Prediction Method Using Reference Frame Accumulation for MPEG G-PCC by Xin Li, Eun-Young Chang, Jihun Cha, Euee S. Jang

“…This paper presents a novel hybrid reference frame generation method to enhance the inter-prediction performance of geometry-based point cloud compression (G-PCC), a recent point cloud coding standard developed by the moving picture experts group (MPEG) that currently employs a single past reference frame for prediction. …”
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Causal inference-based graph neural network method for predicting asphalt pavement performance by CHEN Kai;WANG Xiaohe;SHI Xinli;CAO Jinde

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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…However, traditional prediction methods are limited by data complexity and model capabilities, struggling to meet the demands for high accuracy. …”
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Expressway Asphalt Pavement Technical Status Cluster Dimensional Reduction Evaluation Method by Yanli Li

“…This paper mainly studies the cluster dimensionality reduction evaluation method of the technical condition of expressway asphalt pavement. …”
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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…An intelligent prediction method of organic carbon content based on principal component analysis and back propagation (PCA-BP) neural network is established, based on the pyrolysis experimental results and conventional logging curves of Triassic Baijiantan formation mudstone in Mahu sag. …”
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A new quantitative evaluation method for drilling risk based on uncertainty analysis by Zhichuan Guan, Ya-Nan Sheng, Ming Luo, Yuqiang Xu, Bo Zhang, Qing Wang

“…Therefore, establishing a quantitative evaluation method for drilling risk is becoming increasingly more urgent. …”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…To address these challenges, this paper proposes a big data-driven evaluation and prediction model for e-government audit information. …”
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Evaluating the three-level approach of the U-smile method for imbalanced binary classification. by Barbara Więckowska, Katarzyna B Kubiak, Przemysław Guzik

“…The U-smile method outperformed traditional evaluation measures across most of the imbalance range. …”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…Subsequently, a structural health evaluation model based on the fusion of multi-source information is proposed, facilitating the assessment of the immersed tube’s condition and enabling predictions regarding its status over the subsequent 12 to 24 h. …”
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