Optimization method improvement for nonlinear constrained single objective system without mathematical models by HOU Gong-yu, XU Zhe-dong, LIU Xin, NIU Xiao-tong, WANG Qing-le

“…Optimization problems of nonlinear constrained single objective system are common in engineering and many other fields. Considering practical applications, many optimization methods have been proposed to optimize such systems whose accurate mathematical models are easily constructed. …”
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The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data by Gaoke Yueliang, Gentana Ge, Xiaosong Li, Cuicui Ji, Tiancan Wang, Tong Shen, Yubo Zhi, Chaochao Chen, Licheng Zhao

“…Then, the AGB of the GGP stands was estimated using the Sentinel-2 data and the gradient boosting decision tree (GBDT) algorithm. The results showed that the AGB sample dataset constructed using the proposed approach exhibited strong consistency with field-measured data (R² = 0.89). …”
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MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures by Wenhua Liang, Hong Yu, Lisha Duan, Xiaona Li, Ming Wang, Bing Wang, Jianling Cui

“…The novel 2.5D DL framework and comprehensive feature fusion strategy represent significant advancements in the field, offering a robust tool for radiologists to differentiate benign from malignant VCFs.…”
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HETDEX-LOFAR Spectroscopic Redshift Catalog by Maya H. Debski, Gregory R. Zeimann, Gary J. Hill, Donald P. Schneider, Leah Morabito, Gavin Dalton, Matt J. Jarvis, Erin Mentuch Cooper, Robin Ciardullo, Eric Gawiser, Nika Jurlin

“…We combine the power of blind integral field spectroscopy from the Hobby–Eberly Telescope (HET) Dark Energy Experiment (HETDEX) with sources detected by the Low Frequency Array (LOFAR) to construct the HETDEX-LOFAR Spectroscopic Redshift Catalog. …”
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Solución a un problema estático en un área con topografía abrupta usando una velocidad de reemplazamiento variable by Castillo López Luis Antonio, Pedraza Carlos

“…The arrival times through the weathering layer needed to computed the field statics corrections. In this work, a simple and efficient method is described to obtain field statics using only field seismograms recorded by the COP configuration. …”
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EDWNet: A Novel Encoder–Decoder Architecture Network for Water Body Extraction from Optical Images by Tianyi Zhang, Wenbo Ji, Weibin Li, Chenhao Qin, Tianhao Wang, Yi Ren, Yuan Fang, Zhixiong Han, Licheng Jiao

“…In addition, we analyze the feature importance of bands 2 to 7 in Landsat 8 OLI images, constructing a band combination (RGB 763) suitable for algorithm’s WB extraction. …”
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Research on fine-grained classification of rare metal granite lithology based on deep learning by ZHAO Hengqian, WANG Pan, LIU Zhiguo, MIAO Qunfeng, LI Zhibin, TANG Guanglong, QI Yunfei, XIE Yu, WANG Mengmeng

“…Therefore, in this paper, the technology of fine-grained image classification is introduced into the field of granite lithology identification. The RGB image datasets of four types of lithology, namely flesh-red, grayish-white, iron-manganese, and amazonite-bearing alkali feldspar granites, are systematically constructed. …”
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Assessing the Sensitivity and Efficiency of Laser-Induced Breakdown Spectroscopy (LIBS) for High-Concentration Cadmium Detection in Cocoa Powder by Juan Molina M., Raquel Pincay, Víctor Santos, José Luis González, María Fernanda Trujillo Guerrero, Diego Díaz Pace, César Costa-Vera

“…Cadmium atomic lines at 340.36 and 361.05 nm were used to construct quantification curves. A special algorithm for background subtraction was implemented, and the LIBS plasma was characterized to ensure local thermodynamic equilibrium conditions. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. These diseases can originate from viruses, bacteria, fungi, and other pathogens. …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…Second, a feature attention encoder–decoder network is constructed for deep feature extraction. This network uses an asymmetric encoder–decoder structure to expand the receptive field, which can improve the information extraction ability and reduce the number of parameters effectively. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…The experiments also showed that the accuracy of ASSA was improved by 14% compared to other signal extraction algorithms, proving that ASSA can achieve excellent results when applied to other data processing fields.…”
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Transient Equivalent Modelling of a Wind Farm Based on QPSO-Based Wind Turbine Fault Ride-Through Control by Jianan He, Shenbing Ma, Xu Zhang, Meiling Luo, Lei Li, Jian Niu, Haitao Liu, Ping Jin, Yabo Liang

“…Based on the control mechanism of direct-drive wind turbines, this method first analyzes the fault ride-through operating characteristics of wind turbines and establishes a single-machine fault transient model; then, taking the fault ride-through control characteristics of wind turbines as the criteria for subgroups, it calculates the relevant parameters of the group through weighted aggregation and QPSO algorithm, and constructs the fault transient equivalent model of each group; finally, combining with the principle of loss conservation, it integrates and obtains the fault transient equivalent model of the whole wind power field. …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…On this basis, a personnel behavior recognition algorithm was designed to classify underground behaviors into nine categories. …”
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Factors Influencing Misinformation Propagation: A Systemic Review by HAN Xi, LIAO Ke

“…In addition, the types of information, individual attributes, cognitive characteristics, social interactions, personal knowledge, behavior and emotions play moderating roles. This study constructs an integrated model of the influencing factors for misinformation propagation, which can provide direction for targeted interventions and algorithm design to mitigate the spread of misinformation. …”
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ARIMA-Kriging and GWO-BiLSTM Multi-Model Coupling in Greenhouse Temperature Prediction by Wei Zhou, Shuo Liu, Junxian Guo, Na Liu, Zhenglin Li, Chang Xie

“…Utilizing the high-quality data processed by this model, this study proposes and constructs a novel Grey Wolf Optimizer and Bidirectional Long Short-Term Memory (GWO-BiLSTM) temperature prediction framework, which combines a Grey Wolf Optimizer (GWO)-enhanced algorithm with a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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Adaptation of strategic management accounting to the ac tivities of medical equipment distributors by N. A. Kamordzhanova, E. V. Satalkina, N. D. Fedorova

“…The scientific novelty of the study lies in the proposed financial structure of medical equipment distributors; adaptation of the algorithm for constructing and implementing strategic management accounting in the activities of the studied economic entities; formation of a balanced scorecard for economic entities in the field of distribution of medical equipment; development of a package of documents for continuous monitoring of the effectiveness of the implemented strategic management accounting system of distributors. …”
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Predicting breeding values in Murrah buffaloes using random regression models by ANAND JAIN, ASHISH RANJAN, I D GUPTA, H K SINGH

“…Various random regression models with different order of Legendre polynomials for permanent environmental and genetic effects were constructed to evaluate Murrah buffaloes under field condition. …”
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Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera by Daniel Antonio Negrón, Shipra Trivedi, Nicholas Tolli, David Ashford, Gabrielle Melton, Stephanie Guertin, Katharine Jennings, Bryan D. Necciai, Shanmuga Sozhamannan, Bradley W. Abramson

“…Methods We developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. …”
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Research progress on theory and simulation of supercritical CO2 pipeline transportation by Meng LI, Chaofei NIE, Xin OUYANG, Zhenning FAN, Haining LIANG, Jianwu LIU, Zhigang XU, Yan ZHANG

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A Feasibility Study of Domain Adaptation for Exercise Intensity Recognition Based on Wearable Sensors by Lei Pang, Yi Li, Ming-Xia Liao, Jia-Gang Qiu, Hui Li, Zhen Wang, Gang Sun

“…The performances of two ensemble learning algorithms were slightly better, with a recognition rate of 88.86% and 87.35%. …”
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