HTN Learning via Transfer Learning of Domain Landmarks by Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Munoz-Avila, Jeff Heflin, Kalyan Moy Gupta

“…However, one limitation of HTN planning is that it requires domain knowledge in the form of planning methods to perform this task decomposition. Recent work has partially alleviated this knowledge engineering requirement by learning HTN methods from traces of observed behavior. …”
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Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings by Jing Jiao, Jianhai Yue, Di Pei, Zhunqing Hu

“…An ensemble empirical mode decomposition (EEMD) method is used to decompose the original vibration signal into a number of intrinsic mode functions (IMFs). …”
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Familial aggregation of multimorbidity in Sweden: national explorative family study by Anders Halling, Kristina Sundquist, Jan Sundquist, Bengt Zöller, MirNabi Pirouzifard, Björn Holmquist

“…An initial principal component decomposition followed by a factor analysis with a principal factor method and an oblique promax rotation was used on the correlation matrix of tetrachoric correlations between 45 diagnoses in patients to identify disease clusters.Results The odds ratios for multimorbidity were 2.89 in twins (95% confidence interval 2.56 to 3.25), 1.81 in full siblings (1.78 to 1.84), 1.26 in half siblings (1.24 to 1.28), and 1.13 in cousins (1.12 to 1.14) of relatives with a diagnosis of multimorbidity. …”
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Simulation and Analysis of Vector Control for Five-phase Permanent Magnet Synchronous Motor by YUAN Dengke, HU Zongjie, WANG Kun

“…Based on the generalized Park transformation of five-phase permanent magnet synchronous motor (FP-PMSM), a mathematical model was established by the method of vector space decomposition. Under the condition of id= 0, the purpose of torque control could be achieved by controlling current iq. …”
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A Fuzzy Fractional Order Approach to SIDARTHE Epidemic Model for COVID-19 by P. Chellamani, K. Julietraja, Ammar Alsinai, Hanan Ahmed

“…The dynamic behaviour of COVID-19 is understood by applying the numerical results along with a combination of fuzzy Laplace and Adomian decomposition transform. Hence, an efficient method to solve a fuzzy fractional differential equation using Laplace transforms and their inverses using the Caputo sense derivative is developed, which can make the problem easier to solve numerically. …”
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Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm by Huaitao Shi, Jin Guo, Zhe Yuan, Zhenpeng Liu, Maxiao Hou, Jie Sun

“…For unsolving this problem, an incipient fault detection method based on deep empirical mode decomposition and principal component analysis (Deep EMD-PCA) is proposed. …”
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Reactive molecular dynamics simulations of lithium-ion battery electrolyte degradation by Y. Mabrouk, N. Safaei, F. Hanke, J. M. Carlsson, D. Diddens, A. Heuer

“…Abstract The development of reliable computational methods for novel battery materials has become essential due to the recently intensified research efforts on more sustainable energy storage materials. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. …”
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High Value Utilization of Modified Coal Gasification Slag as a Catalyst for Denitration by Chuang Tao, Suitao Qi

“…The catalyst's activity and stability were assessed by directly catalysing the decomposition of nitrogen oxides using experimental methods. …”
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Acoustic Emission Monitoring and Failure Precursors of Sandstone Samples under Various Loading and Unloading Paths by Jie Xu, Jingdong Jiang, Lingling Zuo, Yufeng Gao

“…The extreme-point symmetric mode decomposition method (ESMD method) was used to denoise and reconstruct the AE data. …”
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Evaluation of lateral flow devices for rabies diagnosis in decomposed animal brain samples by Ryota Todoroki, Joely T. Ongtangco, Kazunori Kimitsuki, Nobuo Saito, Milagros R. Mananggit, Cornelio R. Velasco, Jaira D. Mauhay, Alyssa M. Garcia, Catalino S. Demetria, Yamada Kentaro, Akira Nishizono

“…Furthermore, LFD positive bands became more distinct as decomposition advanced.…”
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Sines, transient, noise neural modeling of piano notes by Riccardo Simionato, Stefano Fasciani

“…This article introduces a novel method for emulating piano sounds. We propose to exploit the sine, transient, and noise decomposition to design a differentiable spectral modeling synthesizer replicating piano notes. …”
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Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…In addition, by introducing the Focal-EIoU loss function, combined with a more accurate penalty mechanism, the matching between the predicted frame and the actual labelled frame is made more accurate, which effectively improves the accuracy and reliability of detection. …”
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Bias and standard deviation mean and maximum Doppler frequency estimators by K. MARASEK, A. NOWICKI

“…It was noticed that with noise subtraction the bias of f_mean decreased for all tested methods. The geometrical method of f_max estimation was found to be more accurate of other tested methods, especially for narrow band signals.…”
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Studying the Photocatalytic Degradation of Tri-n-Butyl Phosphate Using Nano Nd-Doped TiO2 by H. Ghasemi Mobtaker, A. Malekinejad, T. Yousefi, H. Aghayan

“…Results showed that the method has high efficiency and is a promising procedure for decomposition of TBP.…”
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Enhancing agricultural sustainability: Time series forecasting with ICEEMDAN-VMD-GRU for economic-resilience by Aastha M. Sathe, Supraja R., Aditya Antony Thomas

“…In this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU) neural networks. …”
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The CaO Enhanced Defluorination and Air-Jet Separation of Cathode-Active Material Coating for Direct Recycling Li-Ion Battery Electrodes by Piotr Siwak, Volf Leshchynsky, Emil Strumban, Mircea Pantea, Dariusz Garbiec, Roman Maev

“…Hence, there is a need for more effective recycling processes for recycling blended Li, Co, Ni, and their direct regeneration for re-use in LIBs. …”
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals by Delshad Ghavami, Moein Radman, Ali Chaibakhsh

“…Background: Early and accurate diagnosis of Parkinson disease (PD) is essential for enhancing patients’ quality of life and enabling more effective symptom management. Brain signal analysis, a non-invasive and reliable technique, provides an alternative or complementary method to traditional diagnostic approaches. …”
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EWT多重分解与若干新型元启发式算法优化的多层感知器月径流预测 by CAI Liang, BAO Yanfei, CUI Dongwen

“…The prediction accuracy of the EWT^Ⅰ/EWT^Ⅱ/EWT^Ⅲ-FLOA/FLA/APO/ECO/PSO-MLP model improves with the increase of EWT decomposition weight. As a concise and efficient time series decomposition method, EWT^III can decompose the original monthly runoff series into more easily modeled and predictable components with a larger scale.…”
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Contradiction analysis: towards a dialectical approach in ergonomics field interventions by Dimitris Nathanael, Nikos Zarboutis, Nicolas Marmaras

“…Contradiction analysis is proposed as being complementary to more established work decomposition methods. The aim of including such an analysis is to frame various heterogeneous determinants of a work activity in practical terms, swiftly and in a manner that preserves its multifaceted unity and essence. …”
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