Results 161 to 170 of about 258,484 (338)

FedWT: Federated Learning with Minimum Spanning Tree-based Weighted Tree Aggregation for UAV networks

ICT Express
In recent years, advances in communication technology, hardware, and deep learning have led to significant advancements in Unmanned Aerial Vehicles (UAVs). However, applying federated learning in UAV environments is challenging due to network instability
Geonhui Kim, Jiha Kim, Yongho Kim, Hwan Kim, Hyunhee Park   +4 more
doaj   +1 more source

Disentangling age- and disease-related alterations in schizophrenia brain network using structural equation modeling: A graph theoretical study based on minimum spanning tree. [PDF]

Hum Brain Mapp, 2021
Liu X, Yang H, Becker B, Huang X, Luo C, Meng C, Biswal B.   +6 more
europepmc   +1 more source

Neuroimmune Microenvironment Reprogramming via Immuno‐piezoelectric Transducers for Synergistic Stem Cell Therapy in Traumatic Brain Injury

Advanced Materials, EarlyView.
A novel immuno‐piezoelectric transducer is innovatively developed. This device promotes neural stem cell (NSC) differentiation and maturation via ultrasound‐induced electrical stimulation and it amplifies the therapeutic efficacy of NSC in traumatic brain injury (TBI) by modulating the immune microenvironment. This piezoelectric transducer with “immune‐
Linlin Liang, Xin Li, Kai Hu, Pingqiang Cai, Jianwu Wang, Jing Yu, Shasha Wang, Yuwei Zhao, Changgeng Xu, Siwei Li, Hong Liu, Changyong Wang, Jin Zhou   +12 more
wiley   +1 more source

Minimum Spanning Tree Algorithm for Skin Cancer Image Object Detection

مجلة كلية التربية للبنات, 2019
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  

The capacitated minimum spanning tree problem

, 2013
Ruiz y Ruiz, Héctor Efraín
openalex   +1 more source

Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem [PDF]

, 2020
Vahid Roostapour, Jakob Bossek, Frank Neumann   +2 more
openalex   +1 more source

Reassessing Electrolyte Design for Non‐Aqueous Magnesium Batteries: Atomistic Structures and Performance Optimization

Advanced Materials, EarlyView.
This review systematically examines recent advances in non‐aqueous electrolytes for rechargeable magnesium batteries, focusing on chlorine‐containing and chlorine‐free systems. It highlights the interdependent relationship between electrolyte compositions, atomistic structures, and electrochemical performance.
Hao Xu, Xiaoqian He, Yue Li, Quanquan Guo, Xinyu Sun, Xinlong Xie, Lingyue Liu, Richard M. Laine, Jianxin Zou, Xinliang Feng, Minghao Yu   +10 more
wiley   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

Advanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob, Aron Walsh, Karsten Reuter, Johannes T. Margraf   +3 more
wiley   +1 more source

Algorithms of the Minimum Spanning Tree in Gas Supply Systems

, 2018
D O Temnikov, D. Yu Suslov, D O Temnikov, D. Yu Suslov   +3 more
openalex   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source