Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K-Means Segmentation Algorithm and Statistical Analysis by Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur

“…These changes are monitored by capturing the maximum area of wheat canopy image that has maximum photosynthetic activity (chlorophyll fluorescence signals). The proposed algorithm presented here has three stages: (i) first, derivation of dynamic threshold value by curve fitting of data to eliminate the pixels of low-intensity value, (ii) second, extraction and segmentation of thresholded region by application of histogram-based K-means algorithm iteratively (this scheme of the algorithm is referred to as the curve fit K-means (CfitK-means) algorithm); and (iii) third, computation of 23 grey level cooccurrence matrix (GLCM) texture features (traits) from the wheat images has been done. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with K-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”
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Automatic Identification of Rock Discontinuity Sets by a Fuzzy C-Means Clustering Method Based on Artificial Bee Colony Algorithm by Peng Li, Tianqi Chen, Yan Liu, Meifeng Cai, Liang Sun, Peitao Wang, Yu Wang, Xuepeng Zhang

“…An improved artificial bee colony (ABC) algorithm is proposed and combined with the fuzzy C-means (FCM) clustering method to develop an FCM clustering method for automatically identifying rock discontinuity sets based on the ABC algorithm (FCM-ABC method). …”
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Axial Piston Pump Fault Diagnosis Method Based on Symmetrical Polar Coordinate Image and Fuzzy C-Means Clustering Algorithm by Wan-lu Jiang, Pei-yao Zhang, Man Li, Shu-qing Zhang

“…In this paper, a fault diagnosis method based on symmetric polar coordinate image and Fuzzy C-Means clustering algorithm is proposed to solve the problem that the fault signal of axial piston pump is not intuitive under the time-domain waveform diagram. …”
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Mean Nocturnal Baseline Impedance (MNBI) Provides Evidence for Standardized Management Algorithms of Nonacid Gastroesophageal Reflux-Induced Chronic Cough by Yiqing Zhu, Tongyangzi Zhang, Shengyuan Wang, Wanzhen Li, Wenbo Shi, Xiao Bai, Bingxian Sha, Mengru Zhang, Siwan Wen, Cuiqin Shi, Xianghuai Xu, Li Yu

“…This study aimed to identify predictors of standard antireflux therapy efficacy and provide evidence for standardized management algorithms of nonacid GERC. Methods. A total of 115 nonacid GERC patients who underwent multichannel intraluminal impedance-pH monitoring (MII-pH) were enrolled between March 2017 and March 2021. …”
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Application of existing algorithms for classification and clustering of laser reflection points (k-Means, DBSCAN, SVM) to solve territorial planning problems by D. A. Gura, O. S. Boltovnina

“…The possibility of using sequentially the K-means and DBSCAN algorithms for clustering in relation to objects of various shapes is shown. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Initially, ResNet50 extracts feature vectors from original images, which are inputted into the K-means + + algorithm for clustering. K-means + + automatically partitions these feature vectors into different categories, achieving unsupervised image classification. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…This study introduced four innovative aggregation operators, which include circular q-rung orthopair fuzzy muirhead mean (Cq-ROFMM), circular q-rung orthopair fuzzy dual muirhead mean (Cq-ROFDMM), circular q-rung orthopair fuzzy weighted muirhead mean (Cq-ROFWMM) and circular q-rung orthopair fuzzy dual weighted muirhead mean (Cq-ROFDWMM). …”
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Clustering‐based recommendation method with enhanced grasshopper optimisation algorithm by Zihao Zhao, Yingchun Xia, Wenjun Xu, Hui Yu, Shuai Yang, Cheng Chen, Xiaohui Yuan, Xiaobo Zhou, Qingyong Wang, Lichuan Gu

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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

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A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture by Guoqing Zhang, Jiandong Liu, Wei Luo, Yongxiang Zhao, Ruiyin Tang, Keyu Mei, Penggang Wang

“…To address these challenges, this study proposes an enhanced Q-learning algorithm designed to optimize UAV path planning by combining static and dynamic obstacle avoidance features. …”
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Automated Dance Scoring Algorithm Using Alignment and Least Square Approximation with Fractional Power of Joint Features by Chen-Jhen Fan, Han-Hui Jeng, Bing-Ze Li, Jian-Jiun Ding

“…In this study, an advanced automatic dance scoring algorithm is proposed. First, to avoid misjudgment from misalignment, space and time alignment are assessed. …”
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Photoplethysmography Feature Extraction for Non-Invasive Glucose Estimation by Means of MFCC and Machine Learning Techniques by Christian Salamea-Palacios, Melissa Montalvo-López, Raquel Orellana-Peralta, Javier Viñanzaca-Figueroa

“…A comparison between the performance of the algorithms revealed that the best combination achieved a mean absolute error of 9.85 mg/dL and a correlation of 0.94 between the estimated concentration and the real glucose values. …”
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Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs by Azamuddin Ab Rahman, Sakib Iqram Hamim

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Flexible Parsimonious Mixture of Skew Factor Analysis‎ ‎Based‎ ‎on‎ ‎Normal‎ ‎Mean--Variance Birnbaum-Saunders by Farzane Hashemi, Jalal Askari, Saeed Darijani

Subjects: “…normal mean-variance distribution‎…”
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Application of K-means supported by clustered systems in big data association rule mining by Lihua Liu

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APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM by Syaripuddin Syaripuddin, Fidia Deny Tisna Amijaya, Wasono Wasono, Shanaz Tulzahrah, Rara Suciati

“…In this research, the classical method uses Wolfe’s method, while the heuristic method uses the particle swarm optimization (PSO) algorithm. This research aims to determine optimal results in portfolio problems using two methods, namely Wolfe’s method and the PSO algorithm. …”
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Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization by Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG

“…To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<sub>2,1</sub>norm was introduced to the basis matrix of low dimensional subspace as sparse constraint.The multiplicative update rules were given and the convergence of the algorithm was analyzed.Clustering experiment was designed to verify the effectiveness of learned features within various of noisy environments.The empirical study based on K-means clustering shows that the sparse constraint reduces the representation of noisy features and the new method is better than the 8 similar algorithms with stronger robustness to a variable extent.…”
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Zero Watermarking Algorithm for Hyperspectral Remote Sensing Images Considering Spectral and Spatial Features by Bingbing Yang, Haowen Yan, Liming Zhang, Qingbo Yan, Zhaoyang Hou, Xiaolong Wang, Xinyu Xu

“…Most existing zero-watermarking algorithms for remote sensing images are designed for panchromatic or multispectral data. …”
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Impact of the technical condition of main pumps on fuel consumption in a hydraulic excavator by Maxim G. Rakhutin, Van Hiep Tran, Alexander E. Krivenko, Quoc Khanh Giang

“…This expression considers the technical condition of the main pumps, their rate of deterioration, fuel costs, and pump replacement costs. …”
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