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A Transformer-Based Framework for Geomagnetic Activity Prediction
Geomagnetic activities have a crucial impact on Earth, which can affect spacecraft and electrical power grids. Geospace scientists use a geomagnetic...
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A transformer-based framework for predicting geomagnetic indices with uncertainty quantification
Geomagnetic activities have a crucial impact on Earth, which can affect spacecraft and electrical power grids. Geospace scientists use a geomagnetic...
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Influence of Solar Activity on the Space Environment During the March Equinox
Solar activity is one of the most important factors determining the state of the nearest space, the main part of which is the ionosphere, which...
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Comprehensive machine and deep learning analysis of sensor-based human activity recognition
Human Activity Recognition (HAR) is a crucial research focus in the body area networks and pervasive computing domains. The goal of HAR is to examine...
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Extracting Anomalous Pre-earthquake Signatures from Swarm Satellite Data Using EOF and PC Analysis
The goal of this work is to utilize the General Empirical Orthogonal Function (EOF) and Principal Component Analysis (PCA) to detect potential...
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Influence of Advance Time on Accuracy of the Ionospheric Total Electron Content Forecast
The total electron content of the ionosphere plays an important role in determining the operational conditions for various technological systems,...
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State-of-the-art survey on activity recognition and classification using smartphones and wearable sensors
Activity Recognition and Classification (ARC) have enabled growth of many automated applications like recommender services, old age assistance,...
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Total Electron Content Forecasting in Low Latitude Regions of India: Machine and Deep Learning Synergy
Our goal is to determine the parameters that affect the total electron content in the ionosphere (TEC) by comparing data with numerous models. Free...
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I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works
AbstractThis article is devoted to the history of development and main research areas of the scientific school in the field of pattern recognition,...
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Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness
Knowledge of all space objects in orbit and the space environment is collected and maintained by the Space Surveillance Network (SSN). This task is...
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Calculation of the high-energy neutron flux for anticipating errors and recovery techniques in exascale supercomputer centres
The age of exascale computing has arrived, and the risks associated with neutron and other atmospheric radiation are becoming more critical as the...
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A Synchronous Acquisition System of Ultrasound, sEMG and IMU for Human Motion Prediction
At present, due to the limited information, the single man-machine interface control has some defects in human motion prediction, such as low...
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Comparison of adaptive neuro-fuzzy inference system and recurrent neural network in vertical total electron content forecasting
Accurate prediction of total electron content (TEC) is important for monitoring the behavior of the ionosphere and indeed a magnitude of interest to...
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Statistical Evaluation of Orientation Correction Algorithms in a Real-Time Hand Tracking Application for Computer Interaction
A new approach to correct the orientation estimate for a miniature Magnetic-Angular Rate-Gravity (MARG) module is statistically evaluated in a hand...
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Gait Recognition in Different Terrains with IMUs Based on Attention Mechanism Feature Fusion Method
Gait recognition is significant in the fields of disease diagnosis and rehabilitation training by studying the characteristics of human gait with...
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Characteristics of the Ionospheric Disturbances Caused by Typhoon Using GPS and Ionospheric Sounding
The regularity and coupling mechanism of typhoon-induced ionospheric disturbances are still unclear. In this paper, three typhoons that made landfall...
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Recognition of Local Anisotropies of Muon Fluxes Using Normalized Variations for Matrix Observations of the URAGAN Hodoscope
AbstractThe recognition of local anisotropies of muon fluxes using the functions of normalized variations for matrix observations of the URAGAN...
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FeSTGCN: A frequency-enhanced spatio-temporal graph convolutional network for traffic flow prediction under adaptive signal timing
Traffic flow prediction is the fundamental cornerstone of intelligent urban transportation systems. However, existing research has predominantly...
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The Ionospheric TEC Response to Three Different Intensities Tropical Cyclones Landing in Guangdong Province
Using GPS-TEC (Total Electron Content) Sequences processed by a second-order operator and ROTI (Standard deviation of TEC change rate), the effects...