A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The optimal feature subsets were input into various classifiers, and the results showed that the K-Nearest Neighbor (KNN)-based classifier achieved the highest recognition accuracy of 96.11% ± 0.43%, demonstrating the method’s stability and robustness. Compared to similar studies, this model shows superior performance in fatigue driving recognition, which is of significant value for research on fatigue driving detection and prevention.…”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…The RMT Spatial Prior Block integrates a Manhattan distance-based spatial decay matrix and linear decomposition strategy to improve global and local context modeling, reducing attention complexity. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Compared to four different climate prediction decomposition methods, the proposed hybrid model with the Transformer method performs the best. …”
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Service quality assessment in IT projects based on aggregate indicators by A. E. Krasnov, A. A. Sapogov

“…The purpose of the present work is to develop an approach to assessing the quality of work (services) in the framework of IT projects based on nonlinear aggregation of indicators.Methods. The proposed approach to assessing service quality within IT projects is based on nonlinear aggregation of a number of indicators involving a preliminary decomposition of the system into private indicators. …”
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Short term prediction of photovoltaic power with time embedding temporal convolutional networks by Jingxin Wang, Guohan Li, Jin Gu, Zhengyi Xu, Xinrong Chen, Jianming Wei

“…However, in multivariate time series forecasting, an excessive number of features and traditional decomposition methods often lead to information redundancy and data leakage, resulting in prediction bias. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Then, a time-series decomposition method splits the data into seasonal and trend components. …”
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Global burden of disease for colorectal cancer due to diet low in whole grains from 1990 to 2021 and its projections to 2050: analysis of the global burden of disease study 2021 by Mei Yang, Gansheng Huang, Feng Jiang, Zaijin Guo

“…Trends were quantified using Estimated Annual Percentage Change (EAPC) and disease burden was projected to 2050 using Bayesian Age-Period-Cohort (BAPC) modeling. Decomposition analyses explored the impact of population growth, aging, and epidemiologic changes on burden.ResultsBetween 1990 and 2021, the number of CRC deaths associated with a low proportion of whole grain diets worldwide increased by 82.94%, and disability adjusted life years increased by 70.3%. …”
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Characteristics of NH₃–H₂ Reducing Pellets by Xiaoping Zhang, Zihao Fan, Ao Mi, Junqiang Cong, Zhenghong Hu, Jialong Yang, Baoliang Wen

“…Among common gas-solid reaction mathematical models, the Phase-boundary-controlled model with the Contracting Cylinder Model is selected as the most plausible mechanistic function. …”
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A NEW ALGORITHM FOR ANALYSIS OF EXPERIMENTAL MÖSSBAUER SPECTRA by Natalia V. Baidakova, Nikolai I. Chernykh, Valerii M. Koloskov, Yurii N. Subbotin

“…Some model-free methods of the NGR spectra analysis have been implemented in a number of known algorithms. …”
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Extracting of Fault Features for Rotating Machinery of High-speed Train Based on EEMD Energy Entropy-LPP by Chen ZHANG, Tao FANG, Kaiqi YAN

“…Aiming at the difficulty of extracting the weak fault features of the high-speed train bearing rotor system, a method for extracting the fault features of the high-speed train rotor system based on EEMD energy entropy-LPP was proposed. …”
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Reliability analysis of landing gear operation based on improved support vector machine-based decomposed-coordinated by ZHANG Lei, CHEN Junyu, FENG Jun, FENG Yunwen, LIU Lei

“…Taking the wheel brake temperature difference of main landing gear as an example, the verification of the proposed method in reliability modelling and simulation is carried out. …”
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Linear Matrix Inequalities in Fault Detection Filter Design for Linear Ostensible Metzler Systems by Dušan Krokavec, Anna Filasová

“…Finally, a linearized model of the B747-100/200 aircraft is used to validate the proposed method. …”
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Efficient Algorithm for the Nonadditive Traffic Assignment Problem With Link Capacity Constraints by Wangxin Hu, Zhongxiang Huang, Shihao Cao

“…Given that existing CNaTAP models and algorithms are typically limited to small experimental networks, the CNaTAP model is formulated as a variational inequality (VI) problem in this paper. …”
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New Delay-Range-Dependent Robust Exponential Stability Criteria of Uncertain Impulsive Switched Linear Systems with Mixed Interval Nondifferentiable Time-Varying Delays and Nonline... by Piyapong Niamsup, Narongsak Yotha, Kanit Mukdasai

“…Based on the combination of mixed model transformation, Halanay inequality, utilization of zero equations, decomposition technique of coefficient matrices, and a common Lyapunov functional, new delay-range-dependent robust exponential stability criteria are established for the systems in terms of linear matrix inequalities (LMIs). …”
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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…Elliptic envelope demonstrates its efficacy in handling the unique characteristics of the Davangere dataset. This method demonstrated improved performance in refining the crop yield prediction model by identifying and removing outliers, thereby contributing to more accurate predictions and optimized planning in the dynamic landscape of the Davangere region.…”
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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…Subsequently, the Benders decomposition algorithm is used to split the model into a master problem and a subproblem. …”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The structural and functional representation of the object is also used for research, and the model for the analysis of the grinding process serves as the basis for the  decomposition.Results. …”
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A numerical algorithm based on Jacobi polynomials for FIDEs with error estimation by K. Sadri, D. Amilo, E. Hincal

“…Notably, our approach is simpler and more cost-effective compared to established methods such as Adomian decomposition, Homotopy perturbation, Sinc-collocation, and Legendre wavelet techniques. …”
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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…Experimental results demonstrate that the proposed method achieves a 4.6 % error rate in note recognition and a 63.4 % intonation correctness rate, outperforming traditional models in personalized music education.…”
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Synthesis of silver nanoparticles from neem and cow dung, their characterization, and their application as a nano pesticide and nano fertilizer by Ardesana Yash N., Ajudia Ravi, Patel Dhruvi, Srinivas N.

“…The polyol method, microemulsions, thermal decomposition, electrochemical synthesis, chemical vapor deposition, microwave irradiation, pulsed laser method, sonochemical reduction, and gamma radiation are just a few of the many techniques used in the synthesis and characterization of silver nanoparticles (Ag NPs). …”
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