Results 221 to 230 of about 41,144 (258)

Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]

Sensors (Basel)
Huang L, Hu X, Gong L, Liu Y, Yang S.
europepmc   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia. [PDF]

Arch Public Health
Shahid M, Song J, Ali Z, Naveed HM, Yuksel S, Dincer H.   +5 more
europepmc   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

Arthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H. Sawalha   +2 more
wiley   +1 more source

An uncertainty-aware vision transformer-BiLSTM Bayesian framework for reliable clinical decision support using chest X-rays. [PDF]

Sci Rep
Al-Duais FS, Almenwer S, Alanazi A, Elebeed RAE.   +3 more
europepmc   +1 more source

Proximal policy optimization integrated with Bayesian optimization for stand structure optimization in <i>Pinus yunnanensis</i> secondary forests. [PDF]

Front Plant Sci
Wang J, Lv C, Yin J, Chen Y, Lv S, Wu B.
europepmc   +1 more source

Clinical-guided deep learning framework for diabetic retinopathy: integrating lesion-aware attention, adversarial augmentation, and uncertainty quantification. [PDF]

Sci Rep
Saleem S, Talib R, Hanif MK, Sarwar MU.
europepmc   +1 more source

A coarse-to-fine framework combining deep learning and Monte Carlo for BNCT patient position optimization toward inverse planning. [PDF]

Med Phys
Na Y, Lee CM, Kim K, Cho H, Lee J, Ye SJ.   +5 more
europepmc   +1 more source

BaGGLS: a Bayesian shrinkage framework for interpretable modeling of interactions in high-dimensional biological data. [PDF]

Bioinformatics
Lemanczyk MS, Kock L, Schlimme J, Klein N, Renard BY.   +4 more
europepmc   +1 more source