Results 131 to 140 of about 22,159 (262)

Wind speed prediction using linear prediction methods

, 2020
75
openaire   +1 more source

A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham, Casey Vanderlip, Colin Birkenbihl, Eashwar Krishna, Chizobam Ugboaja, Andrew E. Budson, Brandon Frank, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Wind speed prediction based on variational mode decomposition and advanced machine learning models in zaafarana, Egypt. [PDF]

Sci Rep
Taha A, Nazih N, Makeen P.
europepmc   +1 more source

Improving the Diagnostic Accuracy of Plasma Alzheimer's Disease Biomarkers With Objective and Subjective Cognitive Screening

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki, Leslie S. Gaynor, Dandan Liu, Timothy J. Hohman, Katherine A. Gifford, Henrik Zetterberg, Angela L. Jefferson, Corey J. Bolton   +7 more
wiley   +1 more source

Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction. [PDF]

Sensors (Basel)
Li L, Escribano-Macias J, Zhang M, Fu S, Huang M, Yang X, Zhao T, Feng Y, Elhajj M, Majumdar A, Angeloudis P, Ochieng W.   +11 more
europepmc   +1 more source

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer. [PDF]

PLoS One, 2018
Rani R HJ, Victoire T AA.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

A novel wind speed prediction model based on neural networks, wavelet transformation, mutual information, and coot optimization algorithm. [PDF]

Sci Rep
Amirteimoury F, Keynia F, Amirteimoury E, Memarzadeh G, Shabanian H.   +4 more
europepmc   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Short-term wind speed prediction of wind farm based on TSO-VMD-BiLSTM. [PDF]

PeerJ Comput Sci
Wang Q, Zhang L.
europepmc   +1 more source