Predicting adverse outcomes in dilated cardiomyopathy using 3D echocardiography: penalised Cox regression versus machine learning. [PDF]
Yang M +7 more
europepmc +1 more source
Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera +6 more
wiley +1 more source
Enhancing STED microscopy via fluorescence lifetime unmixing and filtering in two-species SPLIT-STED. [PDF]
Deschênes A +8 more
europepmc +1 more source
Bias-Reduced Localization for Drone Swarm Based on Sensor Selection. [PDF]
Wu B, Shen B, Zhang Y, Yang L, Wang Z.
europepmc +1 more source
Machine learning based power control in cellular and cell-free massive MIMO systems. [PDF]
Ahmadi N, Akbarizadeh G.
europepmc +1 more source
Robust SAR Waveform Design for Extended Target in Spectrally Dense Environments. [PDF]
Zhang R +5 more
europepmc +1 more source
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. [PDF]
Khallaf N +4 more
europepmc +1 more source
Multiple Objective Linear Fractional Programming
This paper presents a simplex-based solution procedure for the multiple objective linear fractional programming problem. By (1) departing slightly from the traditional notion of efficiency and (2) augmenting the feasible region as in goal programming, the solution procedure solves for all weakly efficient vertices of the augmented feasible region. The
Jonathan S. H. Kornbluth +1 more
openaire +2 more sources
Linear Fractional and Bicriteria Linear Fractional Programs
In this paper we will restate the sequential methods suggested by the Authors [8] for solving a linear fractional problem for any feasible region using the concept of optimal level solutions.
CAMBINI A., MARTEIN, LAURA
openaire +3 more sources

