Results 191 to 200 of about 5,787,304 (258)

Novel class of population mean estimators based on robust regression methods. [PDF]

Sci Rep
Kumar A, Kumari R, Alomair AM, Alomair MA.   +3 more
europepmc   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Predicting Miscarriage Risk Based on Periodontal and Hematological Parameters Using Artificial Neural Network and XGBoost Models. [PDF]

Diagnostics (Basel)
Özsan M, Temur İ, Temur KT, Çolak AB.
europepmc   +1 more source

Direct Comparison Between Loss‐to‐Follow‐Up and Statistical Fragility Is Methodologically Inappropriate, and Fragility Reflects the P Value, Not Trial Robustness: A Simulation Analysis of 300,000 Randomized Controlled Trials

Arthroscopy, EarlyView.
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha, Helena Son, Jeffrey Kay, Satyavenkata Kotipalli, Marc Daniel Bouchard, Kim Madden, Nicole Simunovic, Olufemi R. Ayeni   +7 more
wiley   +1 more source

House price prediction using a hybrid GRU-MLP based on binary whale optimization algorithm and ant colony optimization for hyperparameter tuning. [PDF]

Sci Rep
Alhammad SM, Fouad Y, Mahmoud AA, Osman AM, El-Bakry HM, Elshewey AM.   +5 more
europepmc   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

Asian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi, Omar Naifar, Imed Bouzida   +2 more
wiley   +1 more source

Non-lethal imaging and modeling approaches for estimating dry mass in aquatic larvae. [PDF]

PLoS One
Granados Frias D, Akbari N, O'Connell LA, Juarez BH.   +3 more
europepmc   +1 more source

Metabolomic investigation of cisplatin‐induced acute kidney injury in paediatric cancer patients

British Journal of Clinical Pharmacology, EarlyView.
Aim Cisplatin causes acute kidney injury (AKI) in approximately 46% of paediatric cancer patients who receive it. Serum creatinine (SCr) is a poor biomarker of cisplatin nephrotoxicity, because there is a delay between cisplatin infusion and SCr elevation.
Yong Jin Lim, Amy Thachil, Kelly McMahon, Ross T. Tsuyuki, S. Rod Rassekh, Lesley G. Mitchell, Prasad Devarajan, Cherry Mammen, Bruce C. Carleton, Geoffrey D. E. Cuvelier, Victor A. Lewis, Colin J. D. Ross, Alexandra P. Zorzi, Sylvain Baruchel, Raveena Ramphal, Eric Bouffet, Mathieu Lemaire, Tom D. Blydt‐Hansen, Brad L. Urquhart, The Applying Biomarkers to Minimize Long‐Term Effects of Childhood/Adolescent Cancer Treatment (ABLE) Research Study Group, Tom Blydt‐Hansen, Bruce C. Carleton, Geoff D. E. Cuvelier, Sunil Desai, Prasad Devarajan, Conrad Fernandez, Adam Fleming, Paul Gibson, Caroline Laverdiere, Victor Lewis, Mary L. McBride, Bruno Michon, Shahrad Rod Rassekh, Colin J. D. Ross, Christine Sabapathy, Kirk R. Schultz, Michael Zappitelli, Alexandra Zorzi   +37 more
wiley   +1 more source

Super-resolution of periapical and bitewing digital radiographs using convolutional neural network. [PDF]

BMC Med Imaging
Pourahmadiyan-Nadiki H, Alemohammad N, Mohammadi-Bassir M, Hamze F.   +3 more
europepmc   +1 more source

Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo, Alexander Rogers, Harry Kay, Dongda Zhang   +3 more
wiley   +1 more source