Results 161 to 170 of about 14,302 (309)

Short-term wind speed forecasting in Uruguay using computational intelligence. [PDF]

Heliyon, 2019
Zucatelli PJ, Nascimento EGS, Aylas GYR, Souza NBP, Kitagawa YKL, Santos AAB, Arce AMG, Moreira DM.   +7 more
europepmc   +1 more source

Short-Term Wind Speed Forecasting Using Different LSTM Deep Learning Methods

Accurate wind energy forecasting is crucial for Bangladesh as it seeks to diversify its energy mix and reduce dependence on fossil fuels. Moreover, precise predictions can optimize wind farm operations, enhancing grid stability and economic viability in ...
Mubarak, Hamza, Dhar, R, Dev, U, Hazari, MR, Mekhilef, S, Seyedmahmoudian, M, Stojcevski, A, Ahmad, S, Uddin, MR, Alshammari, O   +9 more
core   +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

Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach

, 2012
This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of
Dinwoodie, Iain Allan, Quail, Francis, McMillan, David   +2 more
core  

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M. Guthridge, Carla Guthridge, Peter Izmirly, Jill P. Buyon, H. Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'Era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (RA/SLE) Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?

Arthritis Care &Research, Accepted Article.
Objective The objective is to describe and compare demographic, clinical and serological characteristics of systemic sclerosis (SSc) patients according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet, Camille Guertin, Maggie Larché, Isabelle Ferdinand, Marie Hudson, May Y. Choi, Mohammed Osman, Janet Pope, Carter Thorne, Murray Baron, Canadian Scleroderma Research Group, M. Baron, M.Y. Choi, P. Docherty, P.R. Fortin, M. Fritzler, G. Gyger, S. Hoa, M. Hudson, A. Ikic, N. Jones, H. Kim, N. Khalidi, M. Larché, S. LeClercq, N. Maltez, A. Man, A. Masetto, J. Pope, D. Robinson, E. Sutton, C. Thorne, Sasha Bernatsky, Sabrina Hoa   +33 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A genetic algorithm-based ensemble framework for wind speed forecasting. [PDF]

Sci Rep
Barchi TM, Dos Santos JLF, Alves TA, de Mattos Neto PSG, Stevan SL, Corrêa FC, Medina MCC, Siqueira HV, de Oliveira JFL.   +8 more
europepmc   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source