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Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency
The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on...
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Deep video quality assessment using constrained multi-task regression and Spatio-temporal feature fusion
Many popular video quality assessment (VQA) methods usually build models by simulating the process of human visual perception and adopt a simple...
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MRI Based Spatio-Temporal Model for Alzheimer’s Disease Prediction
Alzheimer’s disease (AD) is a leading cause of memory loss and eventually leads to the mortality of affected individuals. It is characterized by...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
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Block-Join: A Partition-Based Method for Processing Spatio-Temporal Joins
Spatio-temporal joins are important operations in spatio-temporal databases. The rapid increase in the amount of spatio-temporal objects makes the...
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No-reference Video Quality Assessment Based on Spatio-temporal Perception Feature Fusion
Quality assessment of real, user-generated content videos lacking reference videos is a challenging problem. For such scenarios, we propose an...
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A novel metric to measure spatio-temporal proximity: a case study analyzing children’s social network in schoolyards
The present study aims to infer individuals’ social networks from their spatio-temporal behavior acquired via wearable sensors. Previously proposed...
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A Novel Spatio-Temporal Network of Multi-channel CNN and GCN for Human Activity Recognition Based on BAN
To improve the accuracy of human activity recognition (HAR) based on body area network (BAN), a novel spatio-temporal network combining multi-channel...
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Big Data and precision agriculture: a novel spatio-temporal semantic IoT data management framework for improved interoperability
Precision agriculture in the realm of the Internet of Things is characterized by the collection of data from multiple sensors deployed on the farm....
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Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification
Quantifying the trajectory similarity is a fundamental functionality in analysis tasks of spatio-temporal data. Existing classic methods compute the...
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Construction of a thinking model for Literary Writing based on Deep Spatio-Temporal Residual Convolutional Neural Networks
A system's capacity to distinguish between human-written input and Literary Writing (LW) is known as LW. LW entered by scanning is considered...
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A U-Shaped Spatio-Temporal Transformer as Solver for Motion Capture
Motion capture (MoCap) suffers from inevitable noises. The raw markers can be mislabeled, occluded, or contain positional noise, which must be...
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Extraction and Visualization of Geographical Spatio-Temporal Information from Chinese Historical Newspapers
This research introduces a comprehensive framework for the extraction and visualization of geographical spatio-temporal information from Chinese...
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Identification and spatio-temporal analysis of earthquake clusters using SOM–DBSCAN model
Seismic catalogs are vital to understanding and analyzing the progress of active fault systems. The background seismicity rate in a seismic catalog,...
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Deep-Eware: spatio-temporal social event detection using a hybrid learning model
Event detection from social media aims at extracting specific or generic unusual happenings, such as, family reunions, earthquakes, and disease...
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Spatio-Temporal Supply Chains and E-Commerce
Supply Chain Management (SCM) has emerged as a pivotal element of contemporary business strategies, deftly incorporating advancements in Machine...
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Enhanced spatio-temporal 3D CNN for facial expression classification in videos
This article proposes a hybrid network model for video-based human facial expression recognition (FER) system consisting of an end-to-end 3D deep...
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Urban Resilience Key Metrics Thinking and Computing Using 3D Spatio-Temporal Forecasting Algorithms
The vagueness of the concept of resilience makes it difficult to define unanimously, and it becomes even more problematic when it comes to measuring...
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Context-aware spatio-temporal event prediction via convolutional Hawkes processes
Massive spatio-temporal event data sets are now available that cover events such as disease outbreaks, armed conflicts and crimes. Predicting such...
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Attention guided spatio-temporal network for 3D signature recognition
Signatures are considered one of the simplest way to verify a personal identity in many day-to-day application that are ranging from a student’s...
