STUDY REGARDING THE OPTIMAL DIMENSION OF THE S.C. AGROZOOTEHNICAL FARM S.A. WITH THE HELP OF STATISTICAL-MATHEMATICAL METHODS by Daniela SIMTION

“…The use of statistical methods, among which the one known as the "statistical method of studying the mass experience" or simply the "method of grouping", is the most widespread [10] in order to determine the optimum size of agricultural exploitations is based on the concept of statistical correlation, that can be attributed to the links between potential indicators (factorial or independent variables) and results and economic efficiency indicators (resultant or dependent variables) of an agricultural holding. …”
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Exploration of Intelligent Teaching Methods for Ideological and Political Education in Colleges and Universities under the Background of “Mass Entrepreneurship and Innovation” by Kaiqiang An

“…The method based on the VGG-Face model is better suitable for face recognition in intelligent education, which can determine the status of students in real-time and alter the lesson plan, as seen by the facial expression recognition accuracy rate based on the enhanced AlexNet being 13% higher.…”
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Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology by Lin Qi, Chaoran Chen, Jun Dong

“…Five representative alternatives were selected and evaluated through the AHP–TOPSIS method to determine the optimal scheme. The results indicated significant improvements in energy, economic, spatial, and ecological dimensions, while also achieving quantifiable control over cultural expression. …”
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Geophysical characterization methods for sweet spots in shale oil: A case study of Niuzhuang Subsag in Shengli Oilfield by ZHANG Qiang, WANG Jing, ZHOU Haiting, LÜ Shichao

“…In view of the insufficient applicability of geophysical characterization methods for sweet spots in shale oil in Niuzhuang Subsag， the core and logging data were used to analyze the physical characteristics of different types of lithofacies based on basic research， and the combinatorial lithofacies models were established for AVO forward analysis， so as to determine the elastic parameters of different lithofacies combinations. …”
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Multiliteracies meet new methods: The case for digital writing in English education case study in G-7 countries. by Xiaoying Hu

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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

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Effects of Different Rearing Methods on the Intestinal Morphology, Intestinal Metabolites, and Gut Microbiota of Lueyang Black-Bone Chickens by Shuang Zeng, Linqing Shao, Mingming Zhao, Ling Wang, Jia Cheng, Tao Zhang, Hongzhao Lu

“…The intestinal morphology, intestinal metabolites, and gut microbiota are critical determinants of nutrient utilization efficiency and immune health in poultry. …”
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Comparative Study of Fish Diversity in Wanquan River Based on Environmental Technology and Traditional Fishing Gear Survey Methods by Jun LEI, Yuanyuan SU, Lianzheng YIN, Ruohan ZENG, Ping LI, Yongqiang QIN, Xingwei CAI, Xiaoping DIAO

“…Environmental DNA (eDNA) technology involves analyzing biological communities by enriching DNA retained in the environment and using high-throughput sequencing technology. This method offers several advantages, including minimal environmental disturbance, time and effort efficiency, and allowing rapid monitoring of fish diversity and spatial distribution. eDNA technology has been widely used in biodiversity monitoring, population distribution, biomass assessment, and feeding analysis. …”
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Optimization of process parameters for sink marks and shrinkage reduction in family molds using Grey-based Taguchi method by Quoc-Nguyen Banh, Van-Keo Dong, Xuan-Hiep Tran, Anh-Son Tran, Minh-Tuan Ho

“…As material testing demand increases, efficient methods for producing multiple samples are crucial. …”
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Optimization of Dye Removal of Cibacron Red Textile Dye From Wastewaters Using Kombucha Scoby With the Taguchi Method by Aytul Bayraktar

“…The most effective dye removal, as determined through the Taguchi method experiments, was achieved at pH 6, with a mixing time of 2 h and 1 g of KS. …”
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Very-Large-Scale Integration-Friendly Method for Vital Activity Detection with Frequency-Modulated Continuous Wave Radars by Krzysztof Ślot, Piotr Łuczak, Paweł Kapusta, Sławomir Hausman, Arto Rantala, Jacek Flak

“…Experimental evaluation of the presented method, performed using the dataset of indoor recordings, indicates that the proposed simple, hardware implementation-friendly algorithm provides over 94% human detection accuracy and similar F1 scores.…”
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A Keyframe Extraction Method for Assembly Line Operation Videos Based on Optical Flow Estimation and ORB Features by Xiaoyu Gao, Hua Xiang, Tongxi Wang, Wei Zhan, Mengxue Xie, Lingxuan Zhang, Muyu Lin

“…These results highlight the method’s effectiveness in identifying subtle actions, reducing redundant content, and delivering high accuracy with efficient performance.…”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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A physics-informed neural network-based method for predicting degradation trajectories and remaining useful life of supercapacitors by Lixin E, Jun Wang, Ruixin Yang, Chenxu Wang, Hailong Li, Rui Xiong

“…Results demonstrate that the proposed model outperforms both the data-driven LSTM method and the empirical equation-based method that the PINN model can reduce the RMSE by 85% and 87.5% for degradation trajectory prediction, and 86.5% and 94.6% for RUL prediction, respectively. …”
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Landslide Detection in Long-Term and Low-Coherence Scenario Using Faster Intermittent Stacking InSAR Method by Huayan Dai, Lixin Wu, Yunping Liao, Lichuan Chen, Yong Yang

“…Because of its ability to fully exploit the intermittent coherence properties of pixels and its simple and efficient implementation, the IStacking method can exploit the potential of short-wavelength SAR data in low-coherence regions and provide a powerful tool for wide-area InSAR deformation monitoring.…”
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Integrated Approach to Aerodynamic Optimization of Darrieus Wind Turbine Based on the Taguchi Method and Computational Fluid Dynamics (CFD) by Nurdaulet Kalassov, Zhandos Baizhuma, Rustem Manatbayev, Ainakul Yershina, Muhtar Isataev, Aiida Kalassova, Zhanibek Seidulla, Birzhan Bektibay, Bakyt Amir

“…The Taguchi method using an orthogonal array was used as an optimization method, which reduced the number of necessary calculations from 77 to 20 while maintaining the reliability of the analysis. …”
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Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

“…In recent years, artificial intelligence methods represented by deep learning and large-scale model technologies have profoundly transformed the paradigms of traditional industrial tasks with their highly efficient nonlinear data analysis capabilities. …”
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Evaluation of sustainable airport development strategies using an integrated intuitionistic fuzzy decision-making method and unknown weights by Fei Gao

“…Firstly, an integrated criterion weight calculation method is employed, extending the step-wise assessment ratio analysis (SWARA) by incorporating intuitionistic fuzzy sets (IFSs) to determine subjective weights, while the intuitionistic fuzzy weights by envelope and slope (IF-WENSLO) technique is applied for objective weight computation. …”
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A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference by József Kuti, Tamás Piricz, Péter Galambos

“…This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. …”
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A Copula-based Method for River Ecological Flow Quantification and Algal Bloom Risk Assessment in the Hanjiang River by NONG Xi-zhi, LAI Cheng, JING Zheng, YE Ye

“…This study aims to establish a joint risk model based on Copula functions and Bayesian theory to quantify the interdependence between hydrological (flow) and ecological (algal density) factors in the middle and lower reaches of Hanjiang River, thereby achieving scientific quantification of ecological flow under multiple scenarios and providing a basis for early warning and regulation of algal bloom risks in rivers. [Methods] Using flow data from Xiantao station and algal density data from Yuekou cross-section during the 2018 algal bloom outbreak in Hanjiang River,this study first determined the marginal distributions of flow and algal density using the Kolmogorov-Smirnov (K-S) test and Akaike Information Criterion (AIC). …”
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