An Improved Fault Diagnosis Method and Its Application in Compound Fault Diagnosis for Paper Delivery Structure Coupling by Fu Liu, Haopeng Chen, Yan Wang

“…Furthermore, the dimensionality reduction results of each network layer are visualized using the T-stochastic neighbor embedding (T-SNE) method, which reveals clear feature patterns and confirms the model’s reliability and effectiveness.…”
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Flow Field Prediction of Gas-Solid Fluidized Bed Based on POD and Surrogate Model by Jialei FENG, Xiaohui ZHAO, Nan TU, Jiabin FANG, Ruihe HU, Yibo XU

“…The gas-solid two-phase flow process in the fluidized bed was predicted by adopting the POD-RBF method and the POD-Kriging method, respectively. Besides, the reduced-order model solutions with different gas velocities were compared with the full-order model solutions, and the effect of gas velocity on the bed motion was also studied. …”
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Temperature Compensation Method for MEMS Ring Gyroscope Based on PSO-TVFEMD-SE-TFPF and FTTA-LSTM by Hongqiao Huang, Wen Ye, Li Liu, Wenjing Wang, Yan Wang, Huiliang Cao

“…First, the particle swarm optimization (PSO) algorithm is used to optimize the time-varying filter-based empirical mode decomposition (TVFEMD), obtaining optimal decomposition parameters. …”
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CONSTRUCTION METHOD OF WAVELET BASE BASED ON GAUSSIAN FUNCTION AND ITS APPLICATION IN FAULT DIAGNOSIS OF ROLLING BEARING by WANG Peng, CHENG XiuFang

“…In order to accurately diagnose the fault of rolling bearing,a wavelet base construction method based on Gaussian function is proposed. In this method,the superimposed Gaussian function is used as the initial model to construct the wavelet basis function. …”
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A P2P Electricity-Carbon Trading Mechanism for Distributed Prosumers Based on Carbon Emission Flow Model by ZHAN Bochun, FENG Changsen, WANG Xiaohui, ZHANG Heng, MA Junwei, WEN Fushuan

“…Based on the improved Benders decomposition method, the original problem is decomposed into the main problem considering network constraints and the subproblem of optimal scheduling for prosumers. …”
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Reinforcing Moving Linear Model Approach: Theoretical Assessment of Parameter Estimation and Outlier Detection by Koki Kyo

“…Second, we enhance the extended ML (EML) model by introducing a new outlier detection and estimation method that identifies both the number and locations of outliers by maximizing the reduction in AIC. …”
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BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

“…In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes randomly selected,a BA- ELM gear fault diagnosis method is puts forward based on energy feature of wavelet packet optimal nodes.First,the gear vibration signals are decomposed by using wavelet packet in this method,the optimal nodes is selected by using the correlation coefficient between each node decomposition signals and original signal,and the energy feature is calculated.Second,the bat algorithm is used to optimize the extreme learning machine input weights and threshold of hidden layer node and the gear fault classification model of BA-ELM is established.Finally,the energy entropy feature vectors of the optimal wavelet packet nodes as the model input is used to identify the different fault states of gear.The experimental results show that,comparing with SVM and ELM fault classification method,the BA-ELM gear fault diagnosis method based on energy feature of wavelet packet optimal nodes has higher classification accuracy and better generalization ability.…”
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EFFICIENCY OF WASTEWATER TREATMENT FROM CHLORAMPHENICOL USING Lemna minor by L.A. Sablii

“…The treatment time ranged from 1 to 72 hours. Methods. The chloramphenicol content in the model solutions was determined using high-performance liquid chromatography. …”
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Research on Price Prediction of Stock Price Index Based on Combination Method with Introduction of Options Market Information by Yi Hu, Xin Sui, Qi Zhang, Wei Zhang

“…This study establishes a combination method-based prediction model for the CSI 300 stock index price embedded with options market information. …”
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An Optimization Method for Green Permutation Flow Shop Scheduling Based on Deep Reinforcement Learning and MOEA/D by Yongxin Lu, Yiping Yuan, Adilanmu Sitahong, Yongsheng Chao, Yunxuan Wang

“…This paper addresses the green permutation flow shop scheduling problem (GPFSP) with energy consumption consideration, aiming to minimize the maximum completion time and total energy consumption as optimization objectives, and proposes a new method that integrates end-to-end deep reinforcement learning (DRL) with the multi-objective evolutionary algorithm based on decomposition (MOEA/D), termed GDRL-MOEA/D. …”
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Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method by Fengmin Hu, Beibei Yang, Zushuai Wei, Changlu Cui, Lingkui Meng

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Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform by Yuqian Zhang, Jie Jiang, Zhan Wang, Qi Zhang, Yudi Jiang, Jun Liu, Zeyao Hou

“…Additionally, we design reflectance consistency loss and Retinex decomposition loss to enhance the model’s generalization capability under complex lighting conditions. …”
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Method of Measurement Representativeness Assessment for Spatial Conductometric Sensors as Applied to Investigation of Hydrodynamics in Single Phase Flows by A. A. Barinov, V. G. Glavny, S. M. Dmitriev, M. A. Legchanov, A. V. Ryazanov, A. E. Khrobostov

“…Decomposition of the uncertainty sources and their propagation through measurements are investigated.To obtain the «cross-talk» effect of the measurements the fi model of WMS fl domain was created. …”
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Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping by Shangpeng Wang, Chenyuan Zhang, Zihan Su, Limin Liu, Jun Long

“…To address these problems, this paper proposes a task decomposition and resource mapping method based on task priorities and resource constraints. …”
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A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition by Yusuf Şevki Günaydın, Baha Şen

“…Experimental results on classification and image segmentation tasks show that the proposed method enhances model performance by enriching input representations. …”
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis by Ruixue Wang, Ning Zhao

“…To address this problem, this paper proposes a feature extraction method based on the combination of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Fuzzy Entropy (FN). …”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…Despite this, the maximum absolute error remains within 0.3 K, highlighting the robustness of the method. This slight error increase is attributed to the complex heat transfer dynamics near cooling interfaces, which pose challenges for most data-driven models. …”
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Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions by Awad M. Ali, Mohammed Abdallah, Babak Mohammadi, Hussam Eldin Elzain

“…The method was tested on four PERSIANN family precipitation products (2005–2019) using two conceptual hydrological models (CHM: HBV and GR6J) and three machine learning models (ML: Random Forest Regression, Boosted Regression Forest, and CatBoost Regression), with VMD applied to improve model inputs.New hydrological insights: Our results highlight that integrating VMD significantly enhances the reliability of hydrological simulations driven by satellite precipitation data, particularly during low-flow periods. …”
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Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum by Jianhua Cai, Xiaoqin Li

“…Aiming at the nonlinear and nonstationary feature of mechanical fault vibration signal, a new fault diagnosis method, which is based on a combination of empirical mode decomposition (EMD) and 1.5 dimension spectrum, is proposed. …”
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Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

“…This division makes it possible to use parallel computation methods to solve each block simultaneously, reducing the simulation time, which allows the use of a more extensive time window to model the variability of random variables of the system, such as wind and load. …”
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