Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization by Weiqin Ying, Bin Wu, Yu Wu, Yali Deng, Hainan Huang, Zhenyu Wang

“…The constraint-handling methods using multiobjective techniques in evolutionary algorithms have drawn increasing attention from researchers. …”
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Decomposition of Technological Processes for Evaluating the Performance of Production Line for Pre Sowing Treatment of Seeds by E. I. Kubeyev, B. S. Antropov

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Origin centric and part based pose decomposition for 3D human pose estimation by Zhijie Lin, Jinxin Yao, Juan Huang, Jingjing Chen, Yingying Xu, Lu Yang, Lei Zhao, Wei Xing

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Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction by Xinwei Wan, Dan Li, Fanqiang Kong, Yanyan Lv, Qiang Wang

“…The structure information of hyperspectral image (HSI) is well-characterized by tensors, surpassing the capabilities of traditional compressive sensing reconstruction models based on vectors and matrices. Tensor decomposition has been integrated with other regularizations in the model-based reconstruction algorithms to capture more priors. …”
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TR-SNN: a lightweight spiking neural network based on tensor ring decomposition by Shifeng Mao, Baoxin Yang, Hongze Sun, Wuque Cai, Daqing Guo

“…To mitigate these issues, researchers have developed various lightweight strategies for compressing SNN model parameters, primarily categorized into pruning, quantization, and distillation. Nevertheless, these methods often involve complex training processes and are prone to significant accuracy loss.Methods In this work, we propose a novel TR-SNN model that achieves parameter compression using tensor ring decomposition. …”
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Improved sub-band JND model with textural decomposition and its application in perceptual image coding by Ming-kui ZHENG, Kai-xiong SU, Wei-xing WANG, Cheng-dong LAN, Xiu-zhi YANG

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Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design by Feifei Jiang, Wenting Yao

“…In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. …”
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« Décomposition fécondante » : la chimie organique et les savoirs du vivant chez Flaubert by Judith Wulf

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FixedSum: A Novel Algorithm for Generating Weight Vectors in Decomposition-Based Multiobjective Optimization by Syed Zaffar Qasim, Muhammad Ali Ismail

“…Recently, some studies about the development of decomposition-based multiobjective evolutionary algorithms have adopted different methods for generating weight vectors. …”
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Logical optimization the multilevel representations of systems of Boolean functions based on partitioning into blocksand Shannon decomposition by P. N. Bibilo, N. A. Kirienko, Y. Y. Lankevich

“…Joint BDDI optimization is more preferable method in comparison to separate technologically independent BDDI optimization, since the area of circuits built on joint BDDI is smaller than the area of circuits built on separate BDDI in most cases.…”
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Differences in soil properties and the rates of decomposition of plant biomass on non-organically and organically managed soils by Triana Pitaloka, Dulbari Dulbari, Junita Barus

“…Observations were made on soil pH, organic C, total N, and P Bray, as well as the amount and weight of soil macrofauna. The decomposition rate of the dried Edamame soybean biomass in the soil was estimated using the litterbag method. …”
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Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings by Baoxiang Wang, Guoqing Liu, Jihai Dai, Chuancang Ding

“…To address these limitations, this paper proposes an improved variational mode decomposition (IVMD) method that enhances diagnostic performance by adaptively determining key parameters based on scale space representation. …”
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The microbial mechanism of maize residue decomposition under different temperature and moisture regimes in a Solonchak by Fan Huang, Wan Zhang, Lihua Xue, Bahar Razavi, Kazem Zamanian, Xiaoning Zhao

“…We measured the mass loss of residue (0, 4, 8, 15, 30, 60 and 90 days), CO2 emission (every two days), and the microbial community structure (0, 4, 15 and 90 days) by using the litter bag method, gas chromatography and high-throughput sequencing technology during the residue decomposition (90 days) in a saline-alkali soil from the Tarim River Basin, China under various temperatures (15 °C, 25 °C, 35 °C) and soil moisture levels (20%, 40%, 60% water holding capacity). …”
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Litter Decomposition Characteristics of Salix Psammophila and Populus Simonii in a Coal Mining Subsidence Area by Wang Hao, Dang Xiaohong, Wang Ji, Bai Shenghong, Gao Yan, Wang Yanyi, Zhang Hao

“…[Methods] An one-year decomposition experiment that included three litter treatments (Salix psammophila; Populus simonii; 1∶5 ratio of S. psammophila∶P. simonii) and two decomposition soils (sandy soil, loess soil) was conducted in a coal mining subsidence area of Inner Mongolia using the field decomposition bag method. …”
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Urban-rural disparities in skilled birth attendance among women in Ethiopia: Multivariate decomposition analysis. by Tsegereda Abebe Andargie, Emebet Birhanu Lealem, Betelhem Abebe Andargie

“…Women with secondary and above educational status, four or more antenatal care visits, households with televisions and radio, women in the richest wealth index and women with five or more parity were the determinants that explained the urban-rural disparity in skilled birth attendance.…”
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Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

“…Empirical tests on a PV dataset from an Australian solar power plant show that the proposed CECSVB-LSTM model significantly outperforms traditional single models and combination models with different decomposition methods, improving R² by more than 7.98% and reducing the root mean square error (RMSE) and mean absolute error (MAE) by at least 60% and 55%, respectively.…”
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Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm by Jorge Ramos-Frutos, Angel Casas-Ordaz, Saúl Zapotecas-Martínez, Diego Oliva, Arturo Valdivia-González, Abel García-Nájera, Marco Pérez-Cisneros

“…However, when dealing with multi-objective optimization, particularly when the objectives are conflicting, identifying the best solution becomes significantly more complex. In such cases, exact or analytical methods are often impractical, leading to the widespread use of heuristic and metaheuristic approaches to identify optimal or near-optimal solutions. …”
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SIP-IFVM: A Time-evolving Coronal Model with an Extended Magnetic Field Decomposition Strategy by Haopeng Wang, Liping Yang, Stefaan Poedts, Andrea Lani, Yuhao Zhou, Yuhang Gao, Luis Linan, Jiakun Lv, Tinatin Baratashvili, Jinhan Guo, Rong Lin, Zhan Su, Caixia Li, Man Zhang, Wenwen Wei, Yun Yang, Yucong Li, Xinyi Ma, Edin Husidic, Hyun-Jin Jeong, Mahdi Najafi-Ziyazi, Juan Wang, Brigitte Schmieder

“…Time-evolving magnetohydrodynamic (MHD) coronal modeling, driven by a series of time-dependent photospheric magnetograms, represents a new generation of coronal simulations. This approach offers more realistic results than traditional steady coronal models constrained by a static magnetogram. …”
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Effects of Medicare predictors in health disparities in the risk of Alzheimer's disease by Igor Akushevich, Arseniy Yashkin, Julia Kravchenko

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Development and validation of an alternative method for ergosterol determination in alder leaves using liquid-liquid extraction and LC-MS/MS after saponification by Björn Kusebauch, Stefan Bader, Steffen Carl

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