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Machine learning in radar-based physiological signals sensing: a sco** review of the models, datasets and metrics
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …
often proposed as a possible alternative to traditional contact devices. The ability to extract …
Real-time seismic intensity prediction using self-supervised contrastive gnn for earthquake early warning
Seismic intensity prediction from early or initial seismic waves received by a few seismic
stations can enhance earthquake early warning systems (EEWSs), particularly in ground …
stations can enhance earthquake early warning systems (EEWSs), particularly in ground …
SolarNet-An efficient multi-model ensemble approach for Solar Power Forecasting based on Artificial Intelligence
Solar energy has become a critical topic in the field of electrical power generation, and it is
expected to remain so soon due to the world's finite supply of fossil fuels and experts' …
expected to remain so soon due to the world's finite supply of fossil fuels and experts' …
Reconfigurable Intelligent Surface Assisted Interference Suppression With Impedance Regulated Deep Neural Network (IR-DNN)
Radio frequency interference (RFI) poses a substantial risk to microwave radiometry. This
paper addresses a machine learning-driven reconfigurable intelligent surface (RIS) …
paper addresses a machine learning-driven reconfigurable intelligent surface (RIS) …
Real-Time precision prehospital stroke diagnosis in weightlifting athletes using cutting-edge non-invasive sensors
A Tursynova, B Kaldarova - Retos: nuevas tendencias en …, 2024 - dialnet.unirioja.es
Este artículo de investigación presenta una investigación sobre la eficacia de una nueva
tecnología de diagnóstico diseñada para el monitoreo en tiempo real de atletas de …
tecnología de diagnóstico diseñada para el monitoreo en tiempo real de atletas de …
HsNet–Enhancing Cardiovascular Health Detection through Advanced Signal Processing and Machine Learning
Phonocardiogram (PCG) signals offer a crucial indicator of cardiac health. Our research
aims to accurately classify heart sounds for robust cardiovascular health assessment …
aims to accurately classify heart sounds for robust cardiovascular health assessment …
SpectroSzNet: Deep Learning-Based Enhancement for Schizophrenia Classification Using Spectrograms
Schizophrenia is a neuropsychiatric disorder characterized by delusions, auditory
hallucinations, mood swings, and unusual behavior. Early detection of Schizophrenia can …
hallucinations, mood swings, and unusual behavior. Early detection of Schizophrenia can …
SmartChargeNet: PCA-Enhanced Attention-LSTM for Wireless Electric Vehicle Charging Optimization
Wireless charging for electric vehicles (EVs) has gained significant popularity due to its
contactless nature, eliminating the need for physical connections between the transmitter …
contactless nature, eliminating the need for physical connections between the transmitter …