Brain-Computer Interfaces for Perception, Learning, and Motor Control [PDF]
, 2021 The crucial role of the SMA in motor recovery has already been demonstrated in previous fMRI studies (Loubinoux et al., ... survivors exhibited lower amplitude of oscillations in comparison to healthy controls in the subacute stage, ..
Bhattacharyya, Saugat +3 more
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Machines, 2022 Deep learning based on vibration signal image representation has proven to be effective for the intelligent fault diagnosis of bearings. However, previous studies have focused primarily on dealing with single-channel vibration signal processing, which ...
Bin Pang +5 more
doaj +1 more source
Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia [PDF]
Wave energy is regarded as one of the powerful renewable energy sources and depends on the assessment of significant wave height (Hs) for feasibility. Hence, this study explores the potential of wave energy by assessing and predicting Hs for two study ...
Prakash, Reema, Raj, Nawin
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Data-driven Signal Decomposition Approaches: A Comparative Analysis
, 2022 Signal decomposition (SD) approaches aim to decompose non-stationary signals into their constituent amplitude- and frequency-modulated components. This represents an important preprocessing step in many practical signal processing pipelines, providing ...
Eriksen, Thomas, Rehman, Naveed ur
core
Desarrollo de técnicas de minimización de interferencia de la actividad muscular de la señal electroencefalográfica durante la deglución [PDF]
, 2021 [ES] La disfagia es la dificultad o la incapacidad para deglutir los alimentos o bebidas como resultado de la lesión en las áreas motoras y su conexión con el tronco encefálico. Su prevalencia es del 30-40% en personas de más de 65 años.
Mira Tomás, Juan Miguel
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Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework [PDF]
Developing reliable streamflow forecasting models is critical for hydrological tasks such as improving water resource management, analyzing river patterns, and flood forecasting.
Ali, Mozhdeh +8 more
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SALF: A Self‐Adaptive Learning Framework for Short‐Term Load Forecasting in Smart Grid
International Journal of Energy Research, Volume 2025, Issue 1, 2025.The energy sector’s rapid expansion necessitates accurate, dependable, and computationally efficient short‐term load forecasting (STLF) models to assure real‐time balance between energy supply and demand. However, the stochastic nature of the energy usage and its reliance on changing weather conditions make accurate forecasting difficult.
Muhammad Sajid Iqbal +4 more
wiley +1 more source
Subsynchronous Oscillation Source Location in Power System with High Penetration of Wind Power Using Multivariate Variational Mode Decomposition [PDF]
Accurately and promptly extracting subsynchronous oscillation (SSO) components from measurements and locating SSO sources are crucial for SSO suppression.
Huang, Tao +6 more
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International Journal of Energy Research, Volume 2025, Issue 1, 2025.The article proposes a feature selection framework that integrates principal component analysis (PCA) and random forest (RF) to identify the key factors influencing fluctuations in China’s new energy prices. Based on this, a parallel optimization comparison mechanism is constructed by integrating the enhanced whale optimization algorithm (EWOA ...
JingYe Lyu, Chong Li, Huaiyu Wang
wiley +1 more source
Applied Sciences, 2021 Myocardial infarction (MI) occurs due to the decrease in the blood flow into one part of the heart, and it further causes damage to the heart muscle.
Jay Karhade +4 more
doaj +1 more source