Results 61 to 70 of about 40,241 (208)
On the evolutionary optimisation of many conflicting objectives [PDF]
This inquiry explores the effectiveness of a class of modern evolutionary algorithms, represented by Non-dominated Sorting Genetic Algorithm (NSGA) components, for solving optimisation tasks with many conflicting objectives.
Fleming, P.J., Purshouse, R.C.
core
Nonscanning large-area Raman imaging for ex vivo/in vivo skin cancer discrimination
Imaging Raman spectroscopy can be used to identify cancerous tissue. Traditionally, a step-by-step scanning of the sample is applied to generate a Raman image, which, however, is too slow for routine examination of patients. By transferring the technique
Darvin, Maxim E. +6 more
core +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
MicrobTiSDA is a user‐friendly and flexible R package specifically designed for longitudinal microbiome data analysis. By integrating process‐oriented functional modules—including data input, data preprocessing, interspecies interaction inference, natural spline regression modeling, temporal pattern clustering, and random forest classification ...
Shijia Li +5 more
wiley +1 more source
Achieving minimum-error discrimination of an arbitrary set of laser-light pulses
Laser light is widely used for communication and sensing applications, so the optimal discrimination of coherent states--the quantum states of light emitted by a laser--has immense practical importance.
A. S. Holevo +7 more
core +1 more source
A rigorous method, Total Illumination by X‐rays (TIX), is presented to quantify crystalline and amorphous phases in organic materials. Mitigating challenges such as low microabsorption and high amorphous content, an improved, general framework is established, applicable to polymers, MOFs, biological materials, etc.
Shaashwat Saraff +2 more
wiley +1 more source
Strategies for optimal single-shot discrimination of quantum measurements
In this work we study the problem of single-shot discrimination of von Neumann measurements, which we associate with measure-and-prepare channels. There are two possible approaches to this problem.
Krawiec, Aleksandra +3 more
core +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
This paper aims to study the modified Gardner (mG) equation that was proposed in the literature a short while ago. We first construct conserved vectors of the mG equation by invoking three different techniques; namely the method of multiplier, Noether’s ...
Chaudry Masood Khalique +2 more
doaj +1 more source
The Extended Trial Equation Method for Some Time Fractional Differential Equations
Nonlinear fractional partial differential equations have been solved with the help of the extended trial equation method. Based on the fractional derivative in the sense of modified Riemann-Liouville derivative and traveling wave transformation, the ...
Yusuf Pandir +2 more
doaj +1 more source

