Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

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Correction: Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…The eigenvalue is calculated numerically and the selection problem of dendritic growth with anisotropic diffusion is solved. …”
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Value of Diffusion-Weighted MR Imaging for the Detection of Nephritis by Benjamin Henninger, Miriam Reichert, Stefan Haneder, Stefan O. Schoenberg, Henrik J. Michaely

“…Purpose. To evaluate diffusion-weighted MR imaging (DWI-MRI) for the detection and assessment of infectious renal disease. …”
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Synthbuster: Towards Detection of Diffusion Model Generated Images by Quentin Bammey

Subjects: “…Diffusion models…”
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Detecting spatial and temporal house price diffusion in the Netherlands by Alfred Larm Teye, Daniel Felix Ahelegbey

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Diffuse pleural metastases of osteosarcoma detected by bone scan by André Ribeiro, Eduardo Lima, Daniel Lima

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Diffusion tensor imaging for detecting biomarkers of idiopathic epilepsy in dogs by Grace T. Kadler, Alex zur Linden, Luis Gaitero, Fiona M. K. James

“…Because the diagnosis of IE is largely based on the exclusion of other diseases, it would be beneficial to indicate an IE biomarker to better understand, diagnose, and treat this disease. Diffusion tensor imaging (DTI), a magnetic resonance imaging (MRI) sequence, is used in human medicine to detect microstructural biomarkers of epilepsy. …”
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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

Subjects: “…hotspot defect detection…”
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Stable Diffusion-Driven Conditional Image Augmentation for Transformer Fault Detection by Wenlong Liao, Yiping Jiang, Rui Liu, Yun Feng, Yu Zhang, Jin Hou, Jun Wang

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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

Subjects: “…Diffusion…”
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Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection by Xingyu Zou, Kaixu Han, Xinle Zhang, Wenhao Wang, Ning Wu

Subjects: “…object detection…”
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Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection by Sitian Liu, Chunli Zhu, Lintao Peng, Xinyue Su, Lianjie Li, Guanghui Wen

Subjects: “…Hyperspectral anomaly detection…”
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Review of the Diffusion Process, Explosion Mechanism, and Detection Technology of Hydrogen and Ammonia by Zilong Zhang, Zhaotong Zhang, Yuqi Zhou, Yujie Ouyang, Jiangtao Sun, Jing Zhang, Bin Li, Dan Zhang, Yongxu Wang, Jian Yao, Huadao Xing, Lifeng Xie

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Spectral Information Divergence-Driven Diffusion Networks for Hyperspectral Target Detection by Jinfu Gong, Zhen Huang, Zhengye Yang, Xuezhuan Ding, Fanming Li

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Out-of-Distribution Node Detection Based on Graph Heat Kernel Diffusion by Fangfang Li, Yangshuai Wang, Xinyu Du, Xiaohua Li, Ge Yu

“…This paper introduces graph diffusion to the OOD detection task for the first time, proposing the HOOD model, a graph diffusion-based OOD node detection algorithm. …”
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Selection of optimal endarterectomy technique in the left anterior descending artery for diffuse coronary atherosclerosis by S. A. Belash, K. O. Barbukhatti, S. S. Shevchenko, E. P. Yasakova, A. S. Nekrasov, V. A. Porkhanov

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SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

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SVDDD: SAR Vehicle Target Detection Dataset Augmentation Based on Diffusion Model by Keao Wang, Zongxu Pan, Zixiao Wen

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Detection of microstructural changes of the brain in Parkinson’s disease using diffusion tensor imaging by Shaima Fattouh Elkholy, Mostafa Abd ElMalek Mohammed Saber, Mohammad Edrees Mohammad, Mohammed D. Homos

“…Abstract Background Diffusion tensor imaging (DTI) is a precise and recent imaging technique used to detect the microstructural changes of the brain using multiple measures with the most commonly used one is the fractional anisotropy (FA). …”
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