Results 121 to 130 of about 24,288,003 (306)
Mapping Non‐Linear ESG Trajectories in OECD Countries: A Topological Entropy Approach
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the evolution of Environmental, Social and Governance (ESG) performance across 38 OECD countries between 2010 and 2024 using a longitudinal and multi‐dimensional analytical framework. Moving beyond static ESG benchmarking approaches, it investigates how sustainability trajectories evolve under changing institutional ...
Sana Gaied Chortane +2 more
wiley +1 more source
IEEE AccessUrban leisure consumption activities (ULCA) are key indicators of urban vitality, and analyzing their spatio-temporal distribution is essential for understanding the structure and dynamics of urban spaces.
Ziyu Hu, Moran Zhang, Li Liu, Haijia Wu
doaj +1 more source
The life and work of Ernest Sydney Keeping
Canadian Journal of Statistics, EarlyView.Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley +1 more source
Frontiers in Signal ProcessingIntroductionConventional temporal-based deep learning models often fail to extract inter- channel information from electromyographic (EMG) signals. Existing spatio-temporal approaches typically sequentially combine spatial and temporal networks, but this
Milad Jabbari +3 more
doaj +1 more source
<p>The set of Schemas defining the modeling of a novel Spatio-Temporal Semantic Data Model for IoT devices.</p> <p>Set of JSON schemas that model sensor or device observations and state vectors of vehicles, unmanned vehicles (UA), and ...
Mario San Emeterio de la Parte
core +1 more source
An optimizing microseismic method for rock burst early warning based on mining production process
Deep Underground Science and Engineering, EarlyView.A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han +6 more
wiley +1 more source
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting
Journal of Big DataAccurate prediction of air pollutant dynamics is crucial for public health, sustainable environmental management, and ecosystem analysis. Air pollutants exhibit intricate spatial and temporal patterns, which pose considerable challenges for accurate ...
Rui Zhang, Norhashidah Awang
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Mathematical Genesis of the Spatio-Temporal Covariance Functions [PDF]
Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics.
Montero, JM +2 more
core
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Mining contacts from spatio-temporal trajectories
AI OpenContact mining is discovering objects in close proximity in their movements in order to reveal possible interactions, infections, collisions or contacts.
Adikarige Randil Sanjeewa Madanayake +2 more
doaj +1 more source