E2E: An R Package for Easy‐to‐Build Ensemble Models
ABSTRACT E2E (Easy to Ensemble) is an R package aiming to provide researchers with a simple, user‐friendly, and comprehensive ensemble learning framework to address the challenges of existing tools when dealing with imbalanced data or constructing complex models.
Shanjie Luan, Ximing Wang
wiley +1 more source
scANMF: Prior Knowledge and Graph-Regularized NMF for Accurate Cell Type Annotation in scRNA-seq. [PDF]
Chi W, Zheng Y, Fang H, Shi S.
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophrenia. [PDF]
Xing Y +4 more
europepmc +1 more source
Free Surface Waves in Electrohydrodynamics With a Prescribed Vorticity Distribution
ABSTRACT Traditionally, the study of free surface flows assumed irrotationality to simplify matters, and the results seemed to have great success, notably with the Korteweg‐de Vries(KdV) equation. In the past decade, there have been attempts to remove this seemingly strong condition and replace it with a global constant vorticity equivalent to a linear
M. J. Hunt, Denys Dutykh
wiley +1 more source
This article proposes a neural network‐based cyber attack detection and mitigation scheme to detect and mitigate false data injection attacks on the sensors. Neural networks are used for the prediction of duty; a combination of a data sampler and a binary attack detector detects the presence of an attack.
Venkata Siva Prasad Machina +4 more
wiley +1 more source
Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings. [PDF]
Fu Z, Fu J, Chen C, Zhang K, Wang S.
europepmc +1 more source
Existence Analysis of a Three‐Species Memristor Drift‐Diffusion System Coupled to Electric Networks
ABSTRACT The existence of global weak solutions to a partial‐differential‐algebraic system is proved. The system consists of the drift‐diffusion equations for the electron, hole, and oxide vacancy densities in a memristor device, the Poisson equation for the electric potential, and the differential‐algebraic equations for an electric network.
Ansgar Jüngel, Tuấn Tùng Nguyến
wiley +1 more source
TGN-MCDS: A Temporal Graph Network-Based Algorithm for Cluster-Head Optimization in Large-Scale FANETs. [PDF]
Fan X, Yang Y, Zhang S, Cai W.
europepmc +1 more source
ABSTRACT Purpose To design 3D radial spiral phyllotaxis trajectories aimed at removing phase inconsistencies, improving image quality, and enhancing parametric mapping accuracy by acquiring nearly opposing spokes starting from both hemispheres in 3D radial k‐space. Methods Two 3D radial trajectories, pole‐to‐pole and continuous spiral phyllotaxis, were
Eva S. Peper +12 more
wiley +1 more source

