Results 211 to 220 of about 28,950,866 (246)

A Benchmark Corpus of Yemeni Proverbs for Figurative and Cultural Language Modeling. [PDF]

Sci Data
Thmer N, Al-Laith A, Shoaib M, Alhuzali H.   +3 more
europepmc   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

An enhanced adaptive image steganography method using block skin-maps and the integer S-transform. [PDF]

Sci Rep
Khalifa A, Khafaga DS, Sadek M, Aldakheel EA.   +3 more
europepmc   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Personalized Machine Learning Intervention to Improve Sleep Quality Using Wearable Technology in Healthy Middle-Aged Adults From Mexico City: Protocol for a Pilot Randomized Controlled Trial. [PDF]

JMIR Res Protoc
Quezada Reyes R, Trejo LA.
europepmc   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Frangipani, hibiscus, marigold, and rose leaf imageimagemagei dataset for plant species identification. [PDF]

Data Brief
Matin MMH, Sefatullah M.
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Comment on "Executive and General Cognitive Domain as a Relevant Factor of Specific Neuropsychiatric Symptoms in Alzheimer's Disease". [PDF]

Geriatr Gerontol Int
Indumathi J, Arulappan A, Ramasamy S.
europepmc   +1 more source

Enhancing Shadow Fading Mitigation with RIS Using Two-Dimensional Orthogonal Pattern Division Multiple Access. [PDF]

Sensors (Basel)
Yang Z, Yao J, Liu Z, Shi Y, Bai X.
europepmc   +1 more source