Results 21 to 30 of about 15,057 (250)

Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach

SIGSPATIAL/GIS, 2023
Predicting traffic accident hotspots is crucial for ensuring public safety, improving transport planning, and reducing transportation costs. Traditional deep learning models, such as Transformers and LSTMs, have been successful in this field but fail to ...
S. Yeddula, Chen Jiang, Bo Hui, Wei-Shinn Ku   +3 more
semanticscholar   +1 more source

Sensor network prediction based on spatial and temporal GNN [PDF]

ITM Web of Conferences, 2022
Multi-sensor prediction is a hotspot for research and development in sensor management technologies. Thanks to artificial intelligence, researchers have been able to effectively use neural networks and traditional artificial intelligence approaches to ...
Liu Peng, Li Zhuang, Cong Yang, Xu Yuheng   +3 more
doaj   +1 more source

Combining Spatial–Temporal Remote Sensing and Human Footprint Indices to Identify Biodiversity Conservation Hotspots

Diversity, 2023
Considering Inner Mongolia as the study area, the ecological theory of climate change, and human activities affecting a wide range of biodiversity patterns, MODIS multi-timeseries remote sensing image data were used and the interannual variation index ...
Yuting Lu, Hong Wang, Yao Zhang, Jiahao Liu, Tengfei Qu, Xili Zhao, Haozhe Tian, Jingru Su, Dingsheng Luo, Yalei Yang   +9 more
doaj   +1 more source

When and Where Did They Strand? The Spatio-Temporal Hotspot Patterns of Cetacean Stranding Events in Indonesia

Oceans, 2022
Analyses of the spatial and temporal patterns of 26 years of stranding events (1995–2011 and 2012–2021, n = 568) in Indonesia were conducted to improve the country’s stranding response.
P. Mustika, K. High, M. I. H. Putra, Achmad Sahri, I. M. J. Ratha, Muhammad Offal Prinanda, Firdaus Agung, Februanty S. Purnomo, D. Kreb   +8 more
semanticscholar   +1 more source

Spatial variation and hotspot detection of COVID-19 cases in Kazakhstan, 2020

Spatial and Spatio-temporal Epidemiology, 2021
Background COVID-19 is the life-threatening infectious disease of zoonotic origin that has epidemic spread in Kazakhstan. The use of geoepidemiological techniques to detect territories of risk (hotspots) is essential for implementing control measures in ...
A. Kuznetsov, V. Sadovskaya
semanticscholar   +1 more source

Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India

BMC Infectious Diseases, 2013
Background An improved understanding in transmission variation of kala-azar is fundamental to conduct surveillance and implementing disease prevention strategies.
Bhunia Gouri Sankar, Kesari Shreekant, Chatterjee Nandini, Kumar Vijay, Das Pradeep   +4 more
doaj   +1 more source

Spatial temporal clustering for hotspot using kulldorff scan statistic method (KSS): A case in Riau Province

, 2017
The forest fires in Indonesia occurs frequently in the dry season. Almost all the causes of forest fires are caused by the human activity itself. The impact of forest fires is the loss of biodiversity, pollution hazard and harm the economy of surrounding
S. Hudjimartsu, Taufik Djatna, A. Ambarwari, Apriliantono   +3 more
semanticscholar   +1 more source

Spatial–temporal evolution and land use transition of rural settlements in mountainous counties

Environmental Sciences Europe
Background Rural settlements are undergoing significant changes under the rapid urbanisation, and understanding their evolution characteristics and surrounding land use will provide a basis for land spatial planning.
Song Chen, Xiyue Wang, Yi Qiang, Qing Lin   +3 more
semanticscholar   +1 more source

Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

Chinese Geographical Science, 2020
The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation.
Xin Huang, Xiaojun Huang, Mengmeng Liu, Bo Wang, Yonghua Zhao   +4 more
semanticscholar   +1 more source

SPATIOTEMPORAL ANALYSIS OF THE EBOLA HEMORRHAGIC FEVER IN WEST AFRICA IN 2014 [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Ebola hemorrhagic fever (EHF) is an acute hemorrhagic diseases caused by the Ebola virus, which is highly contagious. This paper aimed to explore the possible gathering area of EHF cases in West Africa in 2014, and identify endemic areas and their ...
M. Xu, C. X. Cao, H. F. Guo
doaj   +1 more source