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441
RADON IN GROUNDWATERS IN THE BAIKAL REGION AND TRANSBAIKALIA: VARIATIONS IN SPACE AND TIME
Published 2016-09-01“…As a consequence, in short periods of extreme Q values, the content of radon in a water source may increase or decrease to a value corresponding to a neighbouring radon-radioactivity group.This paper provides an overview of the radon activity of groundwater in the Baikal region and Transbaikalia with a focus on regularities in the spatial and temporal patterns of 222Rn in the water sources with Q<185 Bq/l. …”
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442
Influence of Regional PM2.5 Sources on Air Quality: A Network-Based Spatiotemporal Analysis in Northern Thailand
Published 2025-07-01“…This study investigated the spatial and temporal dynamics of PM2.5 in northern Thailand. …”
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443
Effects of fishing restrictions on the recovery of the endangered Saimaa ringed seal (Pusa hispida saimensis) population.
Published 2024-01-01“…In this study, we employed an array of statistical machine learning methods to recognize patterns of death and to evaluate the impacts of annual fishing closures (15th April-30th June) on the recovery of the Saimaa ringed seal population during 1991-2021. …”
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444
Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model
Published 2025-06-01“…Our modelling approach provides a comprehensive simulation of N transport and transformations from terrestrial ecosystems to oceans at 0.5° spatial resolution and daily temporal resolution, globally.…”
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445
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446
Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope
Published 2024-12-01“…Crop data often consists of field parcels or sets of pixels from small spatial regions. Additionally, one needs to account for temporal patterns to correctly label crops. …”
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447
15 Years of Moss Biomonitoring for Air Quality Assessment in Albania
Published 2024-04-01“…The purpose of this research is to investigate the spatial patterns and temporal trends of trace metals, identify emission pathways, and evaluate the most likely influences on concentration levels throughout the entire territory of Albania. …”
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448
Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area
Published 2025-06-01“…High-intensity mining and extended working faces have significantly modified strata pressure manifestation patterns and triggered spatiotemporal evolution of mining-induced pressure. …”
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449
Attention-based multi-scale convolution and conformer for EEG-based depression detection
Published 2025-07-01“…The Conformer module further captures both global and local temporal dependencies in EEG signals to ensure the capture of long-range dependencies and local patterns. …”
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450
Spatiotemporal Rainfall Distribution of Soan River Basin, Pothwar Region, Pakistan
Published 2021-01-01“…The results depicted that there is substantial year-to-year and season-to-season variability in rainfall patterns, and rainfall patterns are generally erratic in nature. …”
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451
“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang
Published 2025-01-01“…A frequency matching bias correction method is then applied to enhance the spatial and temporal accuracy of the objective consensus forecasting (OCF) 0.05° × 0.05° model precipitation forecast data for the region. …”
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452
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453
Remote Sensing-Based Analysis of the Coupled Impacts of Climate and Land Use Changes on Future Ecosystem Resilience: A Case Study of the Beijing–Tianjin–Hebei Region
Published 2025-07-01“…The results reveal the following: (1) Temporally, ecosystem resilience exhibited a staged pattern of change. …”
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454
Dynamic evolution characteristics and risk assessment of floor microseismic in close repeated mining
Published 2025-07-01“…The close proximity between upper and lower coal seams leads to secondary superposition failure during repeated mining, exacerbating the challenges associated with effective water control measures.Using 33200 working face of Pingmei 10 mine as a case study, this paper analyzes microseismic event spatial patterns, energy distribution, as well as extensive statistical data resulting from repetitive lower coal seam extraction actions. …”
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455
Research on the Protection of Battlefield Sites in the Taihang Mountain Area of Southern Hebei Province, China: A Case Study of She County
Published 2025-01-01“…The aim is to reveal the architectural characteristics and spatiotemporal distribution patterns of battlefield sites, evaluate its current status and constraints, and propose targeted protection strategies and restoration measures. …”
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456
Alzheimer’s Disease Prediction Using Fisher Mantis Optimization and Hybrid Deep Learning Models
Published 2025-06-01“…The selected features were classified using a CNN-LSTM model, capturing both spatial and temporal patterns. The MLP-LSTM model was included only for benchmarking purposes. …”
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457
Using Vegetation Indices Developed for Sentinel-2 Multispectral Data to Track Spatiotemporal Changes in the Leaf Area Index of Temperate Deciduous Forests
Published 2025-02-01“…For high-resolution tracking of LAI in temperate deciduous forests at both temporal and spatial scales, future research is needed to incorporate additional information.…”
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458
Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures
Published 2025-05-01“…Transformer-based models showed superior accuracy compared to convolution-based methods, highlighting their effectiveness in capturing spatial–temporal patterns in angiographic videos. …”
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459
Lightweight graph convolutional network with multi-attention mechanisms for intelligent action recognition in online physical education
Published 2025-07-01“…Existing action recognition models are often computationally intensive and struggle to generalize across diverse skeletal patterns. To address this, we propose a lightweight graph convolutional network (GCN) that integrates an improved Ghost module with multi-attention mechanisms, including a global attention mechanism (GAM) and a channel attention mechanism (CAM), to enhance spatial and temporal feature extraction. …”
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460
HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones
Published 2025-02-01“…In this model, multiple enhanced TCN networks with diverse architectures are organised parallelly to capture hierarchical spatial-temporal patterns from raw inertial signals. …”
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