A Multicomponent Collaborative Fossil Fuel Power Plants Detection Framework Based on Geographic Analysis in Wide Areas by Ning Li, Min Jing, Wanxuan Geng, Shengkun Dongye, Hui Chen, Chen Ji, Liang Cheng

“…After detecting these objects, the density-based spatial clustering of applications with noise clustering algorithm was applied to retain clusters with specific component combinations, yielding the final detection results. …”
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Monitoring changes in urban green spaces using Sentinel 2 data, a case study from Vietnam by Le Hung Trinh, Kim Thu Le, Van Phu Le

“…Segmentation was performed using the Simple Non-Iterative Clustering (SNIC) algorithm to refine the classification boundaries. …”
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Characteristics of left ventricular dysfunction in repaired tetralogy of Fallot: A multi-institutional deep learning analysis of regional strain and dyssynchrony by Brendan T. Crabb, Rahul S. Chandrupatla, Evan M. Masutani, Sophie Y. Wong, Sachin Govil, Silvia Montserrat, Susana Prat-González, Julián Vega-Adauy, Melany Atkins, Daniel Lorenzatti, Chiara Zocchi, Elena Panaioli, Nathalie Boddaert, Laith Alshawabkeh, Lewis Hahn, Sanjeet Hegde, Andrew D. McCulloch, Francesca Raimondi, Albert Hsiao

“…Using DLSS, we measured LV strain and strain rate across 16 American Heart Association segments from short-axis cine SSFP images and compared these values to controls. We then performed a clustering analysis to identify unique patterns of LV contraction, using segmental peak strain and several measures of dyssynchrony. …”
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A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow by Sebastian Banaszek, Michał Szota

“…The proposed approach involves calculating three vegetation indices—Excess Green (ExG), Green Leaf Index (GLI), and Modified Green-Red Vegetation Index (MGRVI)—based on a standardized orthomosaic generated from RGB images collected via UAV. Subsequently, an unsupervised k-means clustering algorithm was applied to divide the field into five vegetation vigor classes. …”
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THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments by Ekta U. Samani, Ashis G. Banerjee

“…These color regions, analogous to the MacAdam ellipses identified in human color perception, are obtained using the Mapper algorithm, a topological soft‐clustering technique. …”
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Dark Energy Survey Year 6 Results: Synthetic-source Injection Across the Full Survey Using Balrog by Dhayaa Anbajagane, M. Tabbutt, J. Beas-Gonzalez, B. Yanny, S. Everett, M. R. Becker, M. Yamamoto, E. Legnani, J. De Vicente, K. Bechtol, J. Elvin-Poole, G. M. Bernstein, A. Choi, M. Gatti, G. Giannini, R. A. Gruendl, M. Jarvis, S. Lee, J. Mena-Fernández, A. Porredon, M. Rodriguez-Monroy, E. Rozo, E. S. Rykoff, T. Schutt, E. Sheldon, M. A. Troxel, N. Weaverdyck, V. Wetzell, M. Aguena, A. Alarcon, S. Allam, A. Amon, F. Andrade-Oliveira, D. Brooks, A. Carnero Rosell, J. Carretero, C. Chang, M. Crocce, L. N. da Costa, M. E. S. Pereira, T. M. Davis, S. Desai, H. T. Diehl, S. Dodelson, P. Doel, A. Drlica-Wagner, A. Ferté, J. Frieman, J. García-Bellido, E. Gaztanaga, D. Gruen, G. Gutierrez, W. G. Hartley, K. Herner, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. Huterer, D. J. James, E. Krause, K. Kuehn, O. Lahav, J. L. Marshall, R. Miquel, J. Muir, J. Myles, A. Pieres, A. A. Plazas Malagón, J. Prat, M. Raveri, S. Samuroff, E. Sanchez, D. Sanchez Cid, I. Sevilla-Noarbe, M. Smith, E. Suchyta, G. Tarle, D. L. Tucker, A. R. Walker, P. Wiseman, Y. Zhang, The DES Collaboration

“…Within the Dark Energy Survey (DES), SSI plays a critical role in characterizing all necessary algorithms used in converting images to catalogs, and in deriving quantities needed for the cosmology analysis, such as object detection rates, galaxy redshift estimation, galaxy magnification, star-galaxy classification, and photometric performance. …”
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Enhancing Guided Wave Tomography for Improved DefectDetection in Critical Structures by Igor Sakhabiev, Maolin Li, Younho Cho, Young H Kim

“…This study evaluates two tomographic methodologies: the Reconstruction Algorithm for Probabilistic Inspection of Defects (RAPID) and the enhanced Density Clustering-RAPID (DC-RAPID). …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Our methodology combines sophisticated neuroinformatics technologies with AI-driven image processing algorithms to improve hybrid PET-CT scans' spatial and metabolic resolution. …”
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Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach by Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I.-Hsuan Lu, Chung-Yen Lin

“…The mySORT demo website and Docker image are free at https://mysort.iis.sinica.edu.tw and https://hub.docker.com/r/lsbnb/mysort_2022 .…”
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EFFECTS OF OZONE TREATMENT ON 0.05% CHLORHEXIDINE BIGLUCONATE SOLUTION: ASSESSMENT OF CRYSTALLOGRAPHY RESULTS IN AN IN VITRO EXPERIMENT by V.O. Kurylo, D.М. Коrol, M.М. Rozhko, D.D. Kindii, K.D. Toncheva, R.V. Kozak

“…The methodology employed involves an open-air thesis and subsequent microscopic examination of crystal formation results. The ImageJ software (Wayne Rasband, USA) was applied to study morphological changes in the crystal formation process through a structured algorithm of sequential actions. …”
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Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring by Y. Pang, Y. Pang, L. Tian, D. Hu, S. Gao, G. Liu, G. Liu

“…Our separation method separates overlapping plumes from multiple sources into distinct, single-source observations, enabling the IME algorithm – a high-precision quantification approach for fine-spatial-resolution plume images – to handle multi-source scenarios effectively. …”
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Direct Burial Cable Reconstruction Framework for Accurate Positioning in Heterogeneous Soil by YUHong, LIHao, ZHOUShuai, SHENFeng

“…Based on the column clustering algorithm and the improved Hough transform technology , the hyperbolic characteristics of each pipeline target are extracted , the soil dielectric model is adaptively constructed for each target area , and the single target is reconstructed combined with the back projection imaging algorithm. …”
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FDG‐PET patterns associate with survival in patients with prion disease by Nick Corriveau‐Lecavalier, Yoav D. Piura, Brian S. Appleby, Dror Shir, Leland R. Barnard, Venkatsampath Gogineni, David T. Jones, Gregory S. Day

“…Eigenvalues were input into a clustering algorithm to generate data‐driven clusters, which were compared by survival time. …”
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Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution by Niko Lukač, Domen Mongus, Marko Bizjak

“…At first, broadband albedo is calculated from the lower-resolution multispectral satellite image using standard narrow-to-broadband (NTB) conversion, where the surfaces are considered Lambertian with isotropic reflectance. …”
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Emergence of Technology Driven Promotional Strategies for Commercialised Indian Cinema by Singh Vikash, Dahiya Surbhi, Abraham Albert, Tausif Ahmad

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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

“…Initially, unlabeled MR images were annotated using K-means clustering to generate pseudolabels, which were subsequently refined using a Vision Transformer (ViT) network to improve labeling accuracy. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

“…K-means clustering identified two co-occurrence patterns: emergency visits, neurology visits and CT angiography were more common in a cluster of rapidly treated patients (median symptom to surgery time of 18 days), whereas family physician visits, carotid ultrasound imaging and post-imaging follow-up visits to eye specialists were more common in a cluster of patients with treatment delay (median time of 57 days). …”
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A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Under controlled environmental conditions on representative building structures, key variables were manipulated, and all collected data were processed through a consistent SfM pipeline based on the SIFT algorithm. Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…The resulting sample contains rare or unusual sources that are simultaneously as diverse as the human trainer chooses and of scientific interest to them. We train PROTEGE on images from the MeerKAT Galaxy Cluster Legacy Survey, leveraging the self-supervised deep learning algorithm Bootstrap Your Own Latent to find a low-dimensional representation of the radio galaxy cutouts. …”
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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma by Yuli Zeng, Huiqin Wu, Yanqiu Zhu, Chao Li, Dongyang Du, Yang Song, Sulian Su, Jie Qin, Guihua Jiang, Guihua Jiang, Guihua Jiang

“…Conventional radiomics features were also extracted from the AP, PVP, and HBP images, resulting in three models: MCVT-AP, MCVT-PVP, and MCVT-HBP. …”
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