Results 61 to 70 of about 506 (166)

Low Dimensional Representation of Multi‐Patient Flow Cytometry Datasets Using Optimal Transport for Measurable Residual Disease Detection in Leukemia

Cytometry Part A, Volume 107, Issue 2, Page 126-139, February 2025.
ABSTRACT Representing and quantifying Measurable Residual Disease (MRD) in Acute Myeloid Leukemia (AML), a type of cancer that affects the blood and bone marrow, is essential in the prognosis and follow‐up of AML patients. As traditional cytological analysis cannot detect leukemia cells below 5%, the analysis of flow cytometry datasets is expected to ...
Erell Gachon, Jérémie Bigot, Elsa Cazelles, Audrey Bidet, Jean‐Philippe Vial, Pierre‐Yves Dumas, Aguirre Mimoun   +6 more
wiley   +1 more source

Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen

Zhongguo dianli
To address the problems such as limited regulation resources, high regulation costs, and slow response speed in traditional distribution network voltage control methods, a two-stage stochastic optimal control strategy with participations of power-to ...
Yajian ZHANG, Ci CHEN, Fei XUE, Li MA, Min ZHENG   +4 more
doaj   +1 more source

Kantorovich Functors and Characteristic Logics for Behavioural Distances [PDF]

, 2023
Sergey Goncharov, Dirk Hofmann, Pedro Nora, Lutz Schröder, P. Wild   +4 more
openalex   +1 more source

Digital scenario generation and harmonic signal tracing for calibration of intelligent power transducer

Frontiers in Energy Research
An intelligent power transducer plays an important role in the acquisition, monitoring, and control of data in power systems. A power transducer faces challenges of reduced measurement accuracy and calibration difficulties because of the surrounding ...
Jiaxing Ye
doaj   +1 more source

The Linearized Hellinger--Kantorovich Distance

, 2022
Tianji Cai, Junyi Cheng, Bernhard Schmitzer, Matthew Thorpe   +3 more
openalex   +2 more sources

Kantorovich distance on a finite metric space [PDF]

, 2019
Luigi Montrucchio, Giovanni Pistone
openalex   +2 more sources

Robust Fault Detection in Monitoring Chemical Processes Using Multi-Scale PCA with KD Approach

ChemEngineering
Effective fault detection in chemical processes is of utmost importance to ensure operational safety, minimize environmental impact, and optimize production efficiency. To enhance the monitoring of chemical processes under noisy conditions, an innovative
K. Ramakrishna Kini, Muddu Madakyaru, Fouzi Harrou, Anoop Kishore Vatti, Ying Sun   +4 more
doaj   +1 more source

Coordinated Optimization Method for Distributed Energy Storage and Dynamic Reconfiguration to Enhance the Economy and Reliability of Distribution Network

Energies
To fully leverage the application potential of distributed energy storage systems (DESS) and network reconfiguration, a coordinated optimization method is proposed to enhance the economic efficiency of distribution networks under normal conditions and ...
Caihong Zhao, Qing Duan, Junda Lu, Haoqing Wang, Guanglin Sha, Jiaoxin Jia, Qi Zhou   +6 more
doaj   +1 more source

Kantorovich–Rubinstein Distance and Barycenter for Finitely Supported Measures: Foundations and Algorithms [PDF]

, 2022
Florian Heinemann, Marcel Klatt, Axel Munk   +2 more
openalex   +1 more source

Optimizing multi-energy systems with enhanced robust planning for cost-effective and reliable operation

International Journal of Electrical Power & Energy Systems
This paper introduces a comprehensive and resilient multi-energy system (MES) designed for independent planning and real-time implementation. A robust daily coordinated planning model is proposed, incorporating adjustable optimization with fundamental ...
Yang Wang, Ji Li
doaj   +1 more source