SIG-ShapeFormer: A Multi-Scale Spatiotemporal Feature Fusion Network for Satellite Cloud Image Classification by Xuan Liu, Zhenyu Lu, Bingjian Lu, Zhuang Li, Zhongfeng Chen, Yongjie Ma

“…To the best of our knowledge, this work is the first to transform satellite cloud data into multivariate time series and introduce a unified framework for multi-scale and multimodal feature fusion. SIG-Shapeformer consists of three core components: (1) a Shapelet-based module that captures discriminative and interpretable local temporal patterns; (2) a multi-scale Inception module combining 1D convolutions and Transformer encoders to extract temporal features across different scales; and (3) a differentially enhanced Gramian Angular Summation Field (GASF) module that converts time series into 2D texture representations, significantly improving the recognition of cloud internal structures. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

“…Understanding the distribution and evolutionary patterns of complex wetland types is essential for advancing wetland conservation, exploring blue carbon potentials, and supporting national carbon neutrality goals. …”
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A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…Then, we input local textural features, multilayer convolutional features, and spectral features obtained from the original image into the radial basis function to obtain three kernel functions. …”
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Predictions of the Chinese Forest Frog (<i>Rana chensinensis</i>) Distribution Pattern Under Climate Change up to 2090s by Ying Fu, Juanjuan Lu, Pinhong Yang, Jie Pi

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Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling by Ekaterini Skamnia, Eleni S. Bekri, Polychronis Economou

“…The first level involves the clustering of the dominant features of the time series (e.g., similar seasonal patterns) by employing K-means, while the second one produces clusters based on secondary features. …”
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m5C regulator‐mediated methylation modification patterns and tumor microenvironment infiltration characteristics in acute myeloid leukemia by Qiang Wen, ShouJun Wang, Lili Hong, Siyu Shen, Yibo He, Xianfu Sheng, Xiaofen Zhuang, Shiliang Chen, Ying Wang, Haifeng Zhuang

“…Thereafter, we associated those identified modification patterns with TME cell infiltration features. Additionally, stepwise regression and LASSO Cox regression analyses were conducted for quantifying patterns of m5C modification among AML cases to establish the m5C‐score. …”
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The eastward propagation of hourly rainfall at the western edge of the Hengduan Mountains and its leading circulation patterns during the warm season by Hao Wu, Wei Hua, Xiaofei Wu, Weihua Yuan

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Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder by Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu

“…While traditional methods like canonical correlation analysis (CCA) capture the linear interactions of brain regions, a deep canonical correlation analysis with an autoencoder (DCCAE) nonlinearly extracts brain patterns. The study involves a comparative analysis of changes in gray and white matter over two years, exploring their interrelation based on correlation scores, extracting significant features using both CCA and DCCAE methodologies, and finding an association between the extracted features with cognition and the Child Behavior Checklist. …”
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THE MUTIFACTORIAL PATTERN OF OSTEOPOROSIS: A REVIEW OF THE RESEARCHES OF THE DEPARTMENT OF THERAPY, INSTITUTE OF POSTGRADUATE EDUCATION, YAROSLAVL STATE MEDICAL UNIVERSITY by O. B. Ershova, K. Yu. Belova, Yu. V. Barysheva, O. A. Ganert, V. V. Kalugina, A. V. Nazarova, I. V. Novikova, M. A. Romanova, O. S. Sinitsyna

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High-Order Vehicular Pattern Learning and Privacy-Preserving and Unsupervised GAN for Privacy Protection Toward Vehicular Parts Detection by Yanqin Zhang, Zhanling Zhang

“…Afterward, HVPL improves upon traditional methods by constructing a large-scale hypergraph that models complex relationships among vehicular pattern features, uncovering high-order interactions that conventional models fail to detect. …”
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Leisure Patterns and Values in Adolescents from Serbia born in 1990s: An Attempt at Building a Bridge between the Two Domains by Ivana Stepanović Ilić, Marina Videnović, Nebojša Petrović

“…The identified leisure patterns contribute to a more detailed and elaborate portrayal of adolescents’ values but those values also bring a new insight into specific features of adolescents’ behaviour during leisure time.…”
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Outcomes and treatment patterns in primary and secondary plasma cell leukemia: insights from a large US cohort study by Shagun Singh, Supriya Peshin, Betsy C. Wertheim, Ashley Larsen, Iloabueke Chineke, Douglas W. Sborov, Damian Green, Michaela Liedtke, Marie Okoniewski, Mohammed Wazir, Omar Nadeem, Levanto G. Schachter, Dominique DeGraaff, Victoria A. Vardell, David G. Coffey, Krisstina Gowin

“…Disease presentation, clinical and genetic characteristics, and treatment patterns of 93 patients with primary PCL and 57 with secondary PCL were described. …”
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Neo-Assyrian Metaphors through the Telescope: Linguistic Patterns involving Body Part Constructions in the State Archives Letter Corpus by Matthew Ong, Shai Gordin

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POSITRON EMISSION TOMOGRAPHY IN PATIENTS WITH DRUG RESISTANT TEMPORAL LOBE EPILEPSY WITH DIFFERENT ICTAL PROPAGATION PATTERNS IN SCALP EEG by Nermin Görkem Şirin İnan, Bedia Samancı, Ebru Yılmaz, Ayşen Zehra Gökyiğit, Betül Baykan, Rabia Candan Gürses, Nerses Bebek

“…The clinical, electrophysiological and imaging features were evaluated and a statistical comparison was performed between the groups. …”
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Lightning Damage Detection Method Using Autoencoder: A Case Study on Wind Turbines with Different Blade Damage Patterns by Takuto Matsui, Kazuki Matsuoka, Kazuo Yamamoto

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Optimizing Landscape Patterns for Tea Plantation Agroecosystems: A Case Study of an Important Agricultural Heritage System in Enshi, China by Jiaqian Wu, Chunyang Li, Tong Wang

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Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China by Aiping Gou, Xuyuan Wang, Jiangbo Wang, Chenjie Wang, Guanzheng Tan

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Distinct white matter alteration patterns in post-infectious and gradual onset chronic fatigue syndrome revealed by diffusion MRI by Qiang Yu, Richard A. Kwiatek, Peter Del Fante, Anya Bonner, Vince D. Calhoun, Grant A. Bateman, Takashi Yamamura, Zack Y. Shan

“…PI-ME/CFS and GO-ME/CFS patients were recruited based on consensus diagnoses made by two experienced clinicians and compared their diffusion MRI features with those of rigorously matched healthy controls (HCs) with sedentary lifestyles. …”
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Spatiotemporally Heterogeneous Effects of Urban Landscape Pattern on PM_2.5: Seasonal Mechanisms in Urumqi, China by Xingchi Zhou, Yantao Xi, Shuangqiao Wang, Yuanfan Zhang

“…PM_2.5 pollution presents a significant risk to urban habitability. The urban landscape pattern (ULP) serves as a crucial regulator that profoundly influences the spatiotemporal distribution features of PM_2.5. …”
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