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Facet Derivative-Based Multidirectional Edge Awareness and Spatial–Temporal Tensor Model for Infrared Small Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2021
Infrared (IR) small target detection in the complex background is an important but challenging research hotspot in the field of target detection. The existing methods usually cause high false alarms in the complex background and fail to make full use of ...
Dongdong Pang   +5 more
semanticscholar   +1 more source

SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization

Proceedings of the VLDB Endowment, 2021
Spatial-temporal kernel density visualization (STKDV) has been extensively used in a wide range of applications, e.g., disease outbreak analysis, traffic accident hotspot detection, and crime hotspot detection.
Tsz Nam Chan   +4 more
semanticscholar   +1 more source

Spatial-temporal analysis for identification of dengue risk area in Melaka Tengah district

Geocarto International, 2020
Data on annual cumulative DF cases in Melaka Tengah from 2013 to 2016 was used to determine the distribution pattern of DF cases. The spatial distribution was examined using average nearest neighbour (ANN) techniques and kernel density estimation (KDE ...
M. Yajid   +3 more
semanticscholar   +1 more source

Spatial and temporal variations in indoor radon concentrations in Pennsylvania, USA from 1988 to 2018.

Journal of Environmental Radioactivity, 2021
Indoor radon poses one of the most significant environmental threats to public health as it is the second leading cause of lung cancer in the United States.
Kyle R Kellenbenz, K. Shakya
semanticscholar   +1 more source

Deep Spatial-Temporal Neural Network for Classification of EEG-Based Motor Imagery

Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science, 2019
As a challenging topic in brain-computer interface (BCI) research, motor imagery classification based on electroencephalogram (EEG) received more and more attention.
Weizheng Qiao, Xiaojun Bi
semanticscholar   +1 more source

Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters

Transportation Research Part E: Logistics and Transportation Review, 2017
This study develops a tangible analytical approach to analyze ship traffic demand and the spatial–temporal dynamics of ship traffic in port waters using big AIS data.
Liye Zhang, Q. Meng, T. Fwa
semanticscholar   +1 more source

Spatial and temporal variability of methane emissions from cascading reservoirs in the Upper Mekong River.

Water Research, 2020
Reservoirs are an important source of atmospheric methane (CH4), a potent greenhouse gas. The Mekong, one of the largest Asian rivers, has been heavily dammed and can be a potential hotspot for CH4 emissions.
Liu Liu   +11 more
semanticscholar   +1 more source

Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project

Ecology and Evolution
This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning.
Kaleem Mehmood   +8 more
semanticscholar   +1 more source

Urban hotspot forecasting via automated spatio-temporal information fusion

Applied Soft Computing Journal, 2023
Guangyin Jin
exaly  

Spatial and temporal trends reveal: hotspot identification of crimes using machine learning approach

International Journal of Computational Science and Engineering, 2022
Shailendra Narayan Singh   +1 more
exaly  

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