Results 31 to 40 of about 5,821 (68)

Temporal Modeling on Multi-Temporal-Scale Spatiotemporal Atoms for Action Recognition

Applied Sciences, 2018
As an important branch of video analysis, human action recognition has attracted extensive research attention in computer vision and artificial intelligence communities.
Guangle Yao, Tao Lei, Xianyuan Liu, Ping Jiang   +3 more
doaj   +1 more source

Toward a mechanistic characterisation of marine heatwaves

Scientific Reports
A mechanistic understanding of marine heatwaves (MHWs) requires robust frameworks for detection, tracking, and attribution. Conventional pointwise definitions, which identify MHWs pixel by pixel relative to fixed thresholds, have enabled global analyses ...
Zijie Zhao, Neil J. Holbrook, Antonietta Capotondi, Sophie Cravatte, Jules B. Kajtar, Alex Sen Gupta, Erik Behrens, Martina A. Doblin, Ming Feng, Andrew E. Kiss, Claire M. Spillman   +10 more
doaj   +1 more source

Skillful seasonal predictions of continental East-Asian summer rainfall by integrating its spatio-temporal evolution

Nature Communications
Skillful seasonal climate prediction is critical for food and water security over the world’s heavily populated regions, such as in continental East Asia.
Jieru Ma, Hong-Li Ren, Ming Cai, Yi Deng, Chenguang Zhou, Jian Li, Huizheng Che, Lin Wang   +7 more
doaj   +1 more source

Revealing Spatiotemporal Characteristics of Global Seismic Thermal Anomalies: Framework Based on Annual Energy Balance and Geospatial Constraints

Remote Sensing
Thermal anomalies serve as potential earthquake precursors and are crucial for understanding the mechanisms underlying seismogenic mechanisms and geodynamic perturbations.
Peng Yang, Guanlan Liu, Cheng Xing, Liang Zhong, Yaming Xu, Jian Yu   +5 more
doaj   +1 more source

PMSTD-Net: A Neural Prediction Network for Perceiving Multi-Scale Spatiotemporal Dynamics

Sensors
With the continuous advancement of sensing technology, applying large amounts of sensor data to practical prediction processes using artificial intelligence methods has become a developmental direction. In sensing images and remote sensing meteorological
Feng Gao, Sen Li, Yuankang Ye, Chang Liu
doaj   +1 more source

The existences of several nonlinear waves in a chain of dust particles under Yukawa potential [PDF]

AIP Advances
We investigate the propagation and spatiotemporal evolution of several fundamental nonlinear excitations in a one-dimensional chain of dust particles. Using the standard reductive perturbation method, a nonlinear Schrödinger equation is derived for the ...
Lin Wei, Zheng-Rong Zhang, Wen-Shan Duan
doaj   +1 more source

Decoupling Effects and Nonlinear Mechanisms of Land-Use Carbon Emissions in Rural Revitalization: A Case Study of Western China

Land
The governance of land use carbon emissions is pivotal to achieving the goals of carbon peak and carbon neutrality. Rural revitalization significantly shapes the spatiotemporal patterns and evolutionary dynamics of land use carbon emissions, yet this ...
Feng Wang, Ziyi Wang, Huizhi Gao, Sidong Zhao   +3 more
doaj   +1 more source

Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning

ISPRS International Journal of Geo-Information
Traffic flow prediction is one of the most important and attractive topics in geographical information science (GIS), traffic management, and logistics.
Siteng Cai, Gang Liu, Jing He, Yulun Du, Zhichao Si, Yunhao Jiang   +5 more
doaj   +1 more source

Numerical simulation of the temporal and spatial evolution of sandstone pore type reservoir damage types and severity

Scientific Reports
During the oilfield development process, various factors can cause different types of reservoir damage, leading to reduced oil well production or even shutdown, and decreased water injection capacity in water wells, resulting in significant economic ...
Guan-cheng Jiang, Ke-ming Sheng, Yin-bo He, Li-li Yang, Teng-fei Dong, Zhe Sun, Kun-li Jiang   +6 more
doaj   +1 more source

Understanding Congestion Evolution in Urban Traffic Systems Across Multiple Spatiotemporal Scales: A Causal Emergence Perspective

Systems
Understanding how congestion forms and propagates over space and time is essential for improving the operational efficiency of urban traffic systems. Recent developments in causal emergence theory indicate that the causal structures underlying dynamic ...
Jishun Ou, Jingyuan Li, Weihua Zhang, Pengxiang Yue, Qinghui Nie   +4 more
doaj   +1 more source