Results 161 to 170 of about 248,790 (377)
This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro+2 more
wiley +1 more source
Perturbation Algorithm for a Minimax Regret Minimum Spanning Tree Problem
The problem of finding a robust spanning tree has been analysed. The problem consists of determining a minimum spanning tree of a graph with uncertain edge costs. We should determine a spanning tree that minimizes the difference in costs between the tree
Mariusz Makuchowski
doaj
A novel metamaterial absorber is designed, simulated, and validated for both 5G mmWave and THz applications, achieving >95.8% and 90% absorption, respectively. Its polarization‐insensitive, scalable design enables applications in THz NDT, imaging, and EMI shielding.
Ahmet Teber
wiley +1 more source
Minimum Spanning Tree Algorithm for Skin Cancer Image Object Detection
This paper proposes a new method Object Detection in Skin Cancer Image, the minimum spanning tree Detection descriptor (MST). This ObjectDetection descriptor builds on the structure of the minimum spanning tree constructed on the targettraining set of ...
هند رستم محمد
doaj
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations. [PDF]
Bae JP, Yoon S, Vania M, Lee D.
europepmc +1 more source
Minimum Cost Spanning Tree Games and Spillover Stability [PDF]
This paper discusses minimum cost spanning tree games and argues that the standard approach of using a transferable utility game to come up with a fair allocation of the total costs has some flaws.
Jacco Thijssen+2 more
core
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi+7 more
wiley +1 more source
Otakar Borůvka on minimum spanning tree problem Translation of both the 1926 papers, comments, history [PDF]
Jaroslav Nešetřil+2 more
openalex +1 more source
Minimum Spanning Trees and Types of Dissimilarities
AbstractThis paper is devoted to structural relations between types of dissimilarities and the corresponding minimum spanning trees (MSTs). It is first shown that dissimilarity preorders inducing directly hierarchical classification or seriation may be characterized in terms of MSTs.
openaire +2 more sources
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang+11 more
wiley +1 more source