Results 201 to 210 of about 10,271 (247)

A RESPONSE TO LOKE'S ‘IS AN INFINITE TEMPORAL REGRESS OF EVENTS POSSIBLE?’ (THINK 31)

Think, 2013
Loke argues against the possibility of any infinite collection, mainly on the grounds that number as an abstract entity (if it exists) cannot have causal power. But I argue that his argument conflates number as an abstract entity with number as a number of events or things.
P. Lyth
openaire   +2 more sources

Temporal changes in risk of cardiovascular events in people with newly diagnosed type 2 diabetes with and without cardiovascular disease.

Journal of diabetes and its complications, 2022
AIMS Examine temporal changes in the risk of cardiovascular events in people with newly diagnosed type 2 diabetes with and without cardiovascular disease (CVD).
C. H. Nørgaard, L. Starkopf, T. Gerds, M. Malmborg, A. Bonde, B. Zareini, E.H.A Mills, P. Vestergaard, N. Wong, C. Torp‐Pedersen, C. Lee   +10 more
semanticscholar   +1 more source

Spatio-temporal violent event prediction using Gaussian process regression

Journal of Computational Social Science, 2018
Large volume, data-driven violent conflict research is now possible using publicly available data sets. This work analyzes the predictive ability of data-derived Gaussian process models compared to a generalized linear model. Societal violence is a highly nonlinear process and the available data sets have high dimensionality that yield observation ...
Matthew Kupilik, Frank Witmer
openaire   +1 more source

Spatio-temporal nowcasting using a deep convolutional RNN model with imbalanced regression loss accounting for extreme wind speed events

2023
The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and to mitigate fees in energy trading, accurate predictions of wind speed and wind power are needed.
Irene Schicker, Daan Scheepens
openaire   +1 more source

Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers

Social Science Research Network, 2023
This paper applies a new artificial intelligence architecture, the temporal fusion transformer (TFT), for the joint GDP forecasting of 25 OECD countries at different time horizons.
J. Laborda, Sonia Ruano, Ignacio Zamanillo   +2 more
semanticscholar   +1 more source

CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling

2019 International Joint Conference on Neural Networks (IJCNN), 2019
The understanding of temperature rise events in enclosed compartments is an area of research with applications from industrial condition monitoring to household safety systems. This research originates from the need to understand and model fire behaviour to assist firefighters in their search & rescue activities in burning compartments.
Syed Adnan Yusuf, Abdul Samad, David James Garrity   +2 more
openaire   +1 more source

Exploring non-stationarity of local mechanism of crime events with spatial-temporal weighted regression

Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011
For a more effective understanding of dynamic of mechanism and cluster of local crime, this study uses kernel density to reveal abilities of detecting space-time hotspots in the context of time geography. Since spatial data are correlated in nature, geographically weighted regression (GWR) has been proven as an effective tool to address the spatial non-
Po-Hui Yu, Jinn-Guey Lay
openaire   +1 more source

Spatiotemporal variations and driving factors of dust storm events in northern China based on high-temporal-resolution analysis of meteorological data (1960-2007).

Environmental Pollution, 2020
Northern China is a significant source of dust source in Central Asia. Thus, high-resolution analysis of dust storms and comparison of dust sources in different regions of northern China are important to clarify the formation mechanism of East Asian dust
Chuanqi Xu, Qingyu Guan, Jinkuo Lin, Haiping Luo, Liqin Yang, Zhe Tan, Qingzheng Wang, Ning Wang, Jing Tian   +8 more
semanticscholar   +1 more source

Acoustic and temporal representations in convolutional neural network models of prosodic events

Speech Communication, 2020
Prosodic events such as pitch accents and phrase boundaries have various acoustic and temporal correlates that are used as features in machine learning models to automatically detect these events from speech.
S. Stehwien, A. Schweitzer, Ngoc Thang Vu   +2 more
semanticscholar   +1 more source

Identifying the dominant impact factors and their contributions to heatwave events over mainland China.

Science of the Total Environment, 2022
The heatwave frequency and intensity have significantly changed as the climate warms and human activities increase, which poses a potential risk to human society.
Liaofeng Liang, Linfei Yu, Zhonggen Wang
semanticscholar   +1 more source