Results 221 to 230 of about 72,416 (315)

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks. [PDF]

PLoS One
Han Y, Li C, Chen S, Zhao J, Tian Y, Wang J.   +5 more
europepmc   +1 more source

Developing and Evaluating a Laboratory‐Based Frailty Index for the Prediction of Long‐Term Health Outcomes in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns, Samuel D. Searle, Alexandra Legge   +2 more
wiley   +1 more source

Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons. [PDF]

Sci Rep
Hassan AA, Atia DM, El-Madany HT, ElGhannam F.   +3 more
europepmc   +1 more source

solar power forecasting

R, Kusuma, G M, TEJASHREE
openaire   +1 more source

Triangular Index Ratio as an Alternative Method to the Alpha Angle for Defining the Presence of Cam Morphology: A Prospective Cohort Study

Arthritis Care &Research, EarlyView.
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Myrthe A. van den Berg, Jos Runhaar, Sita Bierma‐Zeinstra, Rintje Agricola   +7 more
wiley   +1 more source

Enhancing PV power forecasting through feature selection and artificial neural networks: a case study. [PDF]

Sci Rep
Ali M, Rabehi A, Souahlia A, Guermoui M, Teta A, Tibermacine IE, Rabehi A, Benghanem M, Agajie TF.   +8 more
europepmc   +1 more source

Safety of Prescription Nonsteroidal Anti‐inflammatory Drugs in Adults With Inflammatory Bowel Disease: Data From a Large Administrative Claims Cohort

Arthritis Care &Research, EarlyView.
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer, Rui Xiao, Meenakshi Bewtra, Michael D. George, Pamela F. Weiss   +4 more
wiley   +1 more source

The development of CC-TF-BiGRU model for enhancing accuracy in photovoltaic power forecasting. [PDF]

Sci Rep
Xie G, Zhang Z, Lin Z, Xie S.
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

Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration. [PDF]

Sci Rep
Rajaperumal TA, Christopher Columbus C.
europepmc   +1 more source