A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

“…To address this issue, this study developed a model that combines fuzzy logic and neural networks, optimized with intelligent algorithms, to detect symptoms of this foliar disease in 15 essential crop species under different environmental conditions using images. …”
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Robust Classification via Finite Mixtures of Matrix Variate Skew-<i>t</i> Distributions by Abbas Mahdavi, Narayanaswamy Balakrishnan, Ahad Jamalizadeh

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Image Segmentation Method for an Illumination Highlight Region of Interior Design Effects Based on the Partial Differential Equation by Lina Wang, Yaoming Liu, Zhike Qian

“…The segmentation method is applied to the image enhancement experiment. Based on the fuzzy means clustering algorithm, a fuzzy clustering objective function including brightness, color, and distance parameters is designed, which improves the weight of the brightness value in the clustering and improves the edge fit of the segmentation of the lighting highlight area of the rendering. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…The feature extraction experiments show superior clustering performance. These experimental results demonstrate that SSMM not only effectively solves the problem of insufficient label information, but also significantly improves the classification accuracy of hyperspectral images after dimensionality reduction, which is superior to the existing manifold learning methods.…”
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Image Processing for Capturing Motions of Crowd and Its Application to Pedestrian-Induced Lateral Vibration of a Footbridge by Junji Yoshida, Yozo Fujino, Toshiyuki Sugiyama

“…In this method, conventional template matching techniques with human-head templates are extended by employing some selected templates, an updated search-algorithm and a classifier for clustering. Consequently, more than 50% of human-heads could be identified by the proposed method. …”
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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence by Daniel Wüstner, Henrik Helge Gundestrup, Katja Thaysen

“…Together with an assessment of spurious eigenvalues via residual DMD, this provides a unique spectrum for each scenario, allowing for high-fidelity time-series and image reconstruction. By machine-learning-based clustering of identified DMD modes, we are able to classify NADH oscillations, thereby discovering subtle phenotypes and accounting for cell-to-cell heterogeneity in metabolic activity. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…Methods This paper proposes a high-accuracy automatic recognition method for X-ray images of pipeline girth weld defects. Based on Suspected Defect Region (SDR) and formulated gray densities, a clustering-based SDR segmentation algorithm was constructed, aimed at precise segmentation of defect SDRs in various shapes. …”
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Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach by Margarita Mulero-Pázmány, Sandro Hurtado, Cristóbal Barba-González, María Luisa Antequera-Gómez, Francisco Díaz-Ruiz, Raimundo Real, Ismael Navas-Delgado, José F. Aldana-Montes

“…Then, an agglomerative clustering algorithm groups animals based on their appearance. …”
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Comparison of Radiomics and conventional SUVr methods for Alzheimer’s disease classification using AV45 PET imaging by Haiyan Gao, Arui Tan, Junhao Wu, Zhen Cao, Ziyang Zhu, Wei Zhang

“…All patients underwent AV45 PET imaging, and the images were registered to a standard template for the extraction of SUVr metrics, including SUVmaxr, SUVmeanr, and SUVmoder, as well as radiomic features (a total of 660 features) from regions of interest (ROIs) in the brain lobes. …”
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Multi-Algorithm-Integrated Tertiary Lymphoid Structure Gene Signature for Immune Landscape Characterization and Prognosis in Colorectal Cancer Patients by Xianqiang Liu, Dingchang Li, Yue Zhang, Hao Liu, Peng Chen, Yingjie Zhao, Guanchao Sun, Wen Zhao, Guanglong Dong

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Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images by Zheng Han, Bangjie Fu, Zhenxiong Fang, Yange Li, Jiaying Li, Nan Jiang, Guangqi Chen

“…This is achieved by locating potential landslide regions in advance using the ODD-based Dynahead-YOLO model, which enhances the capacity for detecting landslides with variable proportions and complex background in the images. The preliminary results are then processed using the Otsu binarization algorithm to cluster pixels belonging to landslides from the images of potential regions for semantic segmentation. …”
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An Unsupervised Remote Sensing Image Change Detection Method Based on RVMamba and Posterior Probability Space Change Vector by Jiaxin Song, Shuwen Yang, Yikun Li, Xiaojun Li

“…In the RFCC, we propose an unsupervised remote sensing image segmentation algorithm based on the Mamba model, i.e., RVMamba differentiable feature clustering, which introduces two loss functions as constraints to ensure that RVMamba achieves accurate segmentation results and to supply the CSBN module with high-quality training samples. …”
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A Multitask Network for the Diagnosis of Autoimmune Gastritis by Yuqi Cao, Yining Zhao, Xinao Jin, Jiayuan Zhang, Gangzhi Zhang, Pingjie Huang, Guangxin Zhang, Yuehua Han

“…Next, we use a hierarchical clustering algorithm to group images based on this matrix. …”
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A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement by Kun Wang, Ling Han, Juan Liao

“…The YOLOv5(ISODATA) model was finally established for landslide image detection by incorporating the edge control factor and four clustering algorithms (K-means, K-means + +, k-medoid, and Iterative Self-Organizing Data Analysis Techniques Algorithm (ISODATA) to evaluate the accuracy of the detection anchor frame and add small target large-scale sampling. …”
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Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study by Zhihui Chen, Hongqing Zhu, Hongmin Shu, Jianbo Zhang, Kangchen Gu, Wenjun Yao

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Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

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Registration of Aerial Images and LiDAR Point Clouds by Exploiting Global&#x2013;Local Geometric Constraints of Buildings by Wen Li, Min Chen, Meixi Huang, Han Hu, Tong Fang, Xuming Ge, Qing Zhu, Bo Xu, Gui Gao

“…Building instances are extracted from the MPS and ALS using simple filtering and clustering algorithms, respectively. Owing to the similarity of the global geometric distribution of buildings in MPS and ALS, the relationships of building instances are established using a graph-matching method. …”
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An automatic generalized Gaussian mixture-based approach for accurate brain tumor segmentation in magnetic resonance imaging analysis by Khalil Ibrahim Lairedj, Zouaoui Chama, Amina Bagdaoui, Samia Larguech, Serge Dzo Mawuefa Afenyiveh, Younes Menni

“…In the present paper, we propose a new automatic approach that combines thresholding and the Generalized Gaussian Mixture Model (GGMM) with the expectation–maximization algorithm for brain tumor segmentation from Magnetic Resonance Imaging (MRI) histogram data. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…An artificial intelligence-based 3D body composition analysis (BCA) algorithm assessed muscle volume, different adipose tissue compartments, and bone mineral density. …”
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Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental <inline-formula><tex-math notation="LaTeX">$K$</tex-math></in... by Jing Geng, Shangxian Zhao, Yifei Wang, Qi Li

“…Experimental results on real plant distribution datasets extracted from agricultural remote sensing images demonstrate that AIK-means outperforms widely-used clustering algorithms, achieving a significant improvement of at least 90% in the coverage-to-overlap ratio metric.…”
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