Results 71 to 80 of about 573 (180)

Fourier Techniques for Very Long Astrophysical Time Series Analysis [PDF]

, 2002
In this paper, we present an assortment of both standard and advanced Fourier techniques that are useful in the analysis of astrophysical time series of very long duration -- where the observation time is much greater than the time resolution of the ...
Eikenberry, Stephen S., Middleditch, John, Ransom, Scott M.   +2 more
core   +2 more sources

Enhanced Deep Representation Learning Extreme Learning Machines for EV Charging Load Forecasting by Improved Artemisinin Optimization and Multivariate Variational Mode Decomposition

Energies
The Electric Vehicle (EV) industry is developing rapidly, and EVs are becoming an increasingly important choice for the future of transportation. Therefore, accurately forecasting the electricity demand for EVs is crucial.
Anjie Zhong, Honghai Li, Zhongyi Tang, Zhirong Zhang   +3 more
doaj   +1 more source

Eta decays involving photons

, 2001
The decays of the eta meson are reviewed in the framework of Chiral Perturbation Theory. Particular attention is devoted to the electromagnetic channels involving photons, either in the final or intermediate states.Comment: Contribution to the Eta ...
Ametller, Lluis
core   +2 more sources

MQCD, ('Barely') G_2 Manifolds and (Orientifold of) a Compact Calabi-Yau

, 2004
We begin with a discussion on two apparently disconnected topics - one related to nonperturbative superpotential generated from wrapping an M2-brane around a supersymmetric three cycle embedded in a G_2-manifold evaluated by the path-integral inside a ...
AALOK MISRA, Andreas B., Becker K., Becker K., Curio G., Deser S., Diaconescu D. E., Hull C. M., Kachru S., Kachru S., Kaplunovsky V. S., Klemm A., Klemm A., Lima E., Misra A., Misra A., Mohri K., Vafa C., Volovich A., Witten E., Witten E., Witten E., Witten E., Witten E.   +23 more
core   +2 more sources

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
core   +1 more source

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
core  

Short-Term Load Forecasting for a Renewable-Rich Power System Using an IMVMD-XLSTM

Energies
The high penetration of photovoltaic and wind power introduces strong non-stationarity and multi-scale fluctuations into power system load profiles, challenging the accuracy of short-term load forecasting (STLF).
Qiujing Lin, Hongquan Zhu, Xiaolong Wang, Xiangang Peng   +3 more
doaj   +1 more source

Green energy generation by pressure retarded osmosis: State of the art and technical advancement—review [PDF]

, 2017
Producción CientíficaPressure-retarded osmosis (PRO) is a method for converting salinity gradients to power by allowing water to flow through a semi-permeable membrane against an applied hydraulic pressure.
Tadeo Rico, Fernando Juan, Touati, Khaled   +1 more
core   +2 more sources

Fault diagnosis method using MVMD signal reconstruction and MMDE-GNDO feature extraction and MPA-SVM

Frontiers in Physics
To achieve a comprehensive and accurate diagnosis of faults in rolling bearings, a method for diagnosing rolling bearing faults has been proposed.
Min Mao, Chengjiang Zhou, Bingwei Xu, Dongjin Liao, Jingzong Yang, Shuangyao Liu, Yiqing Li, Tong Tang   +7 more
doaj   +1 more source

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, Cheema, Saad Javed, Esau, Travis J., Farooque, Aitazaz A., Jamei, Mehdi, Jamei, Mozhdeh, Karbasi, Masoud, Malik, Anurag, Yaseen, Zaher Mundher   +8 more
core   +1 more source