Hyperspectral Anomaly Detection via Merging Total Variation Into Low-Rank Representation by Linwei Li, Ziyu Wu, Bin Wang

“…Anomaly detection (AD) aiming to locate targets distinct from the surrounding background spectra remains a challenging task in hyperspectral applications. The methods based on low-rank decomposition utilize the inherent low-rank characteristic of hyperspectral images (HSIs), which has attracted great interest and achieved many advances in recent years. …”
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Empirical Analysis on the Correlation between Low-Carbon Economy and Marine Industry Development by Jian Yang, Hui Liu

“…The decomposition analysis method of marine industry carbon emission structure based on the input-output table is adopted to analyze China’s marine industry carbon emission structure and obtain the influencing factors of marine industry carbon emission. …”
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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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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…Hence, this study proposes a new HD classification accuracy prediction approach using the Polynomial Jacobian Matrix-based Deep Jordan Recurrent Neural Network (PJM-DJRNN). The proposed method involves noise removal from ECG and PCG signals separately using the Brownian Functional-based BesseL Filter (BrF-BLF) and Frequency Ratio-based Butterworth Filter (FR-BWF), decomposition of the signals using Hamming-based Ensemble Empirical Mode Decomposition (HEEMD), and clustering of the signals as normal and abnormal using Root Farthest First Clustering (RFFC). …”
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State of Health Prediction of Pure Electric Vehicle Batteries Based on Patch Wavelet Transformer by Min Wei, Siquan Yuan, Lin Chen, Yuhang Liu, Jie Hu

“…To address this issue, a Transformer-based model, named PWT, which integrates a patching strategy with wavelet decomposition, is proposed. …”
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Providing a new route for chemical recycling of plastics by aspen plus simulation, energy, and its carbon dioxide emissions analysis by Ali Nazari, Mohsen Salimi, Majid Amidpour, Ali Behbahani-Nia

“…Furthermore, the impacts of this complex on issues such as plastic recycling, energy consumption, and carbon dioxide emissions are studied and compared to conventional methods of plastic production. Results indicate that plastic waste recycling will be >98 % in the proposed model. …”
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A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm by M. Chandralekha, N. Priyadharshini Jayadurga, Thomas M. Chen, Mithileysh Sathiyanarayanan, Kasif Saleem, Mehmet A. Orgun

“…This optimization method actively samples the search space to balance exploration and exploitation to identify the optimal configuration for the model. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…To address the issue of low SOH prediction accuracy across different prediction lengths, this paper proposes a prediction method based on long-short-term battery degradation feature extraction and FEA-TimeMixer model. …”
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Modélisation des niveaux marins extrêmes associés à la circulation des cyclones Lenny (1999) et Omar (2008), commune de saint-pierre, littoral nord-ouest de la Martinique by Alexandre Nicolae Lerma, Yves François Thomas, Pascal Saffache, Paul Durand, Mathieu Lamy

“…Variation factors was decomposed and modeled with nesting method using ADCIRC hydrodynamic model for tide and meteorological surge. …”
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Shock Boundary Layer Interaction and Aero-Optical Effects in a Transonic Flow over Hemisphere-on-Cylinder Turrets by Xiang Ren, Huahua Yu, Xianghong Yao, Hua Su, Peng Hu

“…The detached eddy simulation (DES) based on SST k-ω turbulence model and ray-tracing methods are used to reproduce the transonic flow and optical aberration. …”
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Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning by Alok Dhaundiyal, Laszlo Toth

“…The supervised machine learning technique was considered to estimate the kinetic parameters associated with the thermal decomposition of the material. Here, the integral as well as differential form of the isoconversional method was used along with the Kissinger method for the maximum reaction rate determination. …”
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Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints by Xiaoling Ge, Zipeng Fu, Xuelian Yu, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu

“…Low-rank decomposition models excel in small target detection due to their strong background separation. …”
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Train timetable and stopping plan generation based on cross-line passenger flow in high-speed railway network by Yuqiang Wang

“…To solve the model efficiently for a large-scale application, we decompose the problem into two space–time path-searching sub-problems based on the passenger and train space–time networks by the Lagrangian relaxation and alternating direction method of multipliers decomposition methods. …”
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Spatial variability and convergence of the coupled relationship between agricultural carbon emission reduction and rural revitalization in China by Hongli Yang, Kai Feng

“…IntroductionPromoting the coupled and coordinated development of agricultural carbon emission reduction and rural revitalization is a key link and an inevitable choice to achieve the goal of “double carbon” and sustainable rural development.MethodsThis study takes 31 provinces (cities) in China (excluding Hong Kong, Macao and Taiwan) from 2010 to 2022 as the research object, and adopts the entropy value method, the coupling coordination degree model, the Gini coefficient and its decomposition, and the convergence degree model, etc., to analyze the level of coupling coordination between agricultural carbon emission reduction and rural revitalization in terms of spatial and temporal development characteristics, regional differences and convergence.Results and discussionThe study found that: (1) the coupling and coordination level of agricultural carbon emission reduction and rural revitalization at the national level and in the four major regions continues to improve, and the type of coupled coordination in the provinces is dominated by “primary coordination” in 2022; (2) inter-regional differences are the main source of differences in the coupling and coordination level of agricultural carbon emission reduction and rural revitalization in China; (3) There is no σ-convergence in the coupled coordination level of agricultural carbon emission reduction and rural revitalization at the national level, but there are significant absolute β-convergence and conditional β-convergence, and there are some differences in the regional convergence characteristics, and there is obvious regional heterogeneity in the development of external factors on the coupled coordination level in different regions. …”
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Retracted: Rearrangement of Electrical Distribution Networks With Optimal Coordination of Grid-Connected Hybrid Electric Vehicles and Wind Power Generation Sources by Javad Tabatabaei, Mahmoud Samiei Moghaddam, Javad Mohammadi Baigi

“…The proposed model is a random model (random programming) in which scenarios corresponding to vehicle uncertainty are simulated by the Monte Carlo method. …”
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Efficient spectral data reduction for accurate iodine quantification in multi-energy CT by Olivia F. Sandvold, Roland Proksa, Heiner Daerr, Amy E. Perkins, Kevin M. Brown, Thomas Koehler, Ravindra M. Manjeshwar, Peter B. Noël

“…Abstract This study proposes a spectral data reduction method for multi-channel computed tomography (CT) that optimizes material decomposition accuracy while minimizing data complexity. …”
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Tracking Control for Asymmetric Underactuated Sea Vehicles in Slow Horizontal Movement by Przemyslaw Herman

“…The presented control scheme that performs the trajectory tracking task is a combination of the backstepping technique and the integral sliding mode control method using the inertial quasi velocities (IQVs) resulting from the inertia matrix decomposition. …”
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Process‐Based Machine Learning Observationally Constrains Future Regional Warming Projections by Sophie Wilkinson, Peer Nowack, Manoj Joshi

“…Abstract We present the results of a novel process‐based machine learning method to constrain climate model uncertainty in future regional temperature projections. …”
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Dominant ionic currents in rabbit ventricular action potential dynamics. by Zhechao Yang, Hao Gao, Godfrey L Smith, Radostin D Simitev

“…This study applies Sobol sensitivity analysis, a global variance-decomposition method, to identify the most influential parameters in the Shannon model of rabbit ventricular myocyte action potential (AP). …”
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MHD Thin Film Flows of a Third Grade Fluid on a Vertical Belt with Slip Boundary Conditions by Taza Gul, Rehan Ali Shah, Saeed Islam, Muhammad Arif

“…We have solved the governing nonlinear equations of present problems using the traditional Adomian decomposition method (ADM). Particular attention is given to the combined effect of heat and MHD on the velocity field. …”
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