Results 41 to 50 of about 27,025 (207)

Improving performance of decision threshold moving-based strategies by integrating density-based clustering technique

Electronic Research Archive, 2023
Class imbalance learning (CIL), which aims to addressing the performance degradation problem of traditional supervised learning algorithms in the scenarios of skewed data distribution, has become one of research hotspots in fields of machine learning ...
Mengke Lu, Shang Gao , Xibei Yang, Hualong Yu   +3 more
doaj   +1 more source

KNN-DBSCAN: a DBSCAN in high dimensions

ACM Transactions on Parallel Computing
Clustering is a fundamental task in machine learning. One of the most successful and broadly used algorithms is DBSCAN, a density-based clustering algorithm. DBSCAN requires ϵ-nearest neighbor graphs of the input dataset, which are computed with range-search algorithms and spatial data structures like KD-trees.
Youguang Chen, William Ruys, George Biros   +2 more
openaire   +2 more sources

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Accurate and real-time object detection in crowded indoor spaces based on the fusion of DBSCAN algorithm and improved YOLOv4-tiny network

Journal of Intelligent Systems, 2023
Real-time object detection is an integral part of internet of things (IoT) application, which is an important research field of computer vision. Existing lightweight algorithms cannot handle target occlusions well in target detection tasks in indoor ...
Shen Jianing, Zhou Yang
doaj   +1 more source

Neural Circuits between Nodose Ganglion and Pulmonary Neuroendocrine Cells Regulate Lung Inflammatory Responses

Advanced Science, EarlyView.
TRPA1+αCGRP+ sensory neurons in the nodose ganglion detect external insults such as lipopolysaccharide (LPS) and interact directly with pulmonary neuroendocrine cells (PNECs), promoting their activation and proliferation. This neural‐epithelial interaction amplifies lung inflammation.
Jie Chen, Shitao Xie, Zhekai Lin, Caiqi Zhao, Rujia Tao, Yingying Ma, Xiaoyan Chen, Renlan Wu, Qingjian Han, Pengfei Sui, Sheng Wang, Hongbin Ji, Hai Song, Xiaoming Zhang, Yangang Sun, Yuanlin Song, Xiao Su   +16 more
wiley   +1 more source

MAPPING OF DOMESTIC AND FOREIGN TOURIST VISITS IN EAST JAVA USING THE DBSCAN METHOD

Pilar Nusa Mandiri
Tourism is important in economic growth and regional development, especially in East Java Province with diverse tourist attractions. However, the mapping of domestic and foreign tourist visit patterns in this province is still limited.
Marita Qori'atunnadyah
doaj   +1 more source

A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering

, 2019
In this paper we target the class of modal clustering methods where clusters are defined in terms of the local modes of the probability density function which generates the data. The most well-known modal clustering method is the k-means clustering. Mean
Azzag, Hanane, Beck, Gaël, Cérin, Christophe, Duong, Tarn, Lebbah, Mustapha   +4 more
core   +2 more sources

IgG‐Bridging–Seeded Synergistic Aggregation of SARS‐CoV‐2 Spikes Underlies Potent Neutralization by a Low‐Affinity Antibody

Advanced Science, EarlyView.
Low‐affinity antibodies are frequently disregarded in discovery pipelines. This work reports P5‐1C8, a Class 1 SARS‐CoV‐2 antibody with weak trimer binding (KD‐to‐IC50 > 3700‐fold) yet potent neutralization of Omicron JN.1. Structural, biophysical, functional, and coarse‐grained simulations collectively demonstrate that transient inter‐spike IgG ...
Niannian Lv, Peng Chen, Xiaobin Dai, Hu Xu, Ziheng Li, Zelin Shan, Jinqian Li, Fenglin Guo, Yuanfang Chen, Jiayi Li, Yiqian Huang, Guizhi Dong, Yifan Jiang, Liang Chen, Xuanyu Nan, Hanjun Zhao, Kang Zhang, Shilong Fan, Yuanchen Dong, Dongsheng Liu, Xinquan Wang, Deli Huang, Xiaojing Pan, Chunying Chen, Zhihua Liu, Li‐Tang Yan, Qi Zhang, Linqi Zhang, Yuliang Zhao, Yuhe Renee Yang   +29 more
wiley   +1 more source

Research on Ship Trajectory Extraction Based on Multi-Attribute DBSCAN Optimisation Algorithm

Polish Maritime Research, 2021
With the vigorous development of maritime traffic, the importance of maritime navigation safety is increasing day by day. Ship trajectory extraction and analysis play an important role in ensuring navigation safety.
Xu Xiaofeng, Cui Deqaing, Li Yun, Xiao Yingjie   +3 more
doaj   +1 more source

VSCAN: An Enhanced Video Summarization using Density-based Spatial Clustering

, 2013
In this paper, we present VSCAN, a novel approach for generating static video summaries. This approach is based on a modified DBSCAN clustering algorithm to summarize the video content utilizing both color and texture features of the video frames.
A. Girgensohn, B.T. Truong, F.J. Aherne, H.M. Blanken, M. Furini, M. Parimala, M. Singha, M.J. Swain, P. Mundur, R.S. Stanković, S. Pfeiffer, S.E.F. Avila de, T. Kailath, T. Liu   +13 more
core   +1 more source