Results 1 to 10 of about 141,430 (348)
Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model
Applied Sciences, 2023 Because of the complexity, nonlinearity, and volatility, stock market forecasting is either highly difficult or yields very unsatisfactory outcomes when utilizing traditional time series or machine learning techniques.
Muhammad Ali +3 more
semanticscholar +1 more source
Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy
International Transactions on Electrical Energy Systems, 2023 This paper discusses the efficient implementation of a new hybrid approach to forecasting short-term PV power production for four different PV plants in Algeria. The developed model incorporates a time-varying filter-empirical mode decomposition (TVF-EMD)
Reski Khelifi +8 more
semanticscholar +1 more source
A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram [PDF]
IEEE journal of biomedical and health informatics, 2020 Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the health systems in low-resource settings where there is a lack of skilled
Samiul Based Shuvo +4 more
semanticscholar +1 more source
EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python
Journal of Open Source Software, 2021 The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of sifting algorithms, instantaneous frequency transformations, power spectrum
A. Quinn +4 more
semanticscholar +1 more source
OncoImmunology, 2021 Avelumab is an IgG1 anti–programmed death ligand 1 (anti–PD-L1) monoclonal antibody that has been approved as a monotherapy for metastatic Merkel cell carcinoma and advanced urothelial carcinoma, and in combination with axitinib for advanced renal cell ...
Hulin Jin +12 more
doaj +1 more source
Frontiers in Immunology, 2023 Autoimmune diseases vary in the magnitude and diversity of autoantibody profiles, and these differences may be a consequence of different types of breaks in tolerance.
Thomas Clarke +15 more
doaj +1 more source
A Modified Noise-Resistant Trend Estimation Method Based on EMD and SSA for Aeroelastic Aircraft Systems [PDF]
AUT Journal of Modeling and Simulation, 2021 Aimed at the nonlinear system identification of aeroelastic aircraft, the signal decomposition methods are required to extract the contributing natural and non-standard flight modes from flight test data, especially in the presence of flight noise.
Seyed Amin Bagherzadeh +1 more
doaj +1 more source
ACR Open Rheumatology, 2023 Objective To use cell‐based gene signatures to identify patients with systemic lupus erythematous (SLE) in the phase II/III APRIL–SLE and phase IIb ADDRESS II trials most likely to respond to atacicept.
Matthew Studham +10 more
doaj +1 more source
Bispecific antibodies: A guide to model informed drug discovery and development
Heliyon, 2021 Affinity (KD) optimization of monoclonal antibodies is one of the factors that impacts the stoichiometric binding and the corresponding efficacy of a drug.
Irina Kareva +3 more
doaj +1 more source
Clinical and Translational Science, 2022 Bintrafusp alfa, a first‐in‐class bifunctional fusion protein composed of the extracellular domain of TGF‐βRII (a TGF‐β “trap”) fused to a human IgG1 mAb blocking PD‐L1, is being evaluated for efficacy and safety in solid tumor indications as monotherapy
Yulia Vugmeyster +5 more
doaj +1 more source