Results 91 to 100 of about 6,866,416 (377)

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian   +5 more
wiley   +1 more source

Molecular network topology and reliability for multipurpose diagnosis

open access: yesInternational Journal of Nanomedicine, 2011
MA Jalil1, N Moongfangklang2,3, K Innate4, S Mitatha3, J Ali5, PP Yupapin41Ibnu Sina Institute of Fundamental Science Studies, Nanotechnology Research Alliance, University of Technology Malaysia, Johor Bahru, Malaysia; 2School of Information and ...
Jalil MA   +4 more
doaj  

Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease

open access: yesCerebral Cortex, 2016
Recent findings suggest that Alzheimer's disease (AD) is a disconnection syndrome characterized by abnormalities in large-scale networks. However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients ...
J. Pereira   +13 more
semanticscholar   +1 more source

Graph Annotations in Modeling Complex Network Topologies

open access: yes, 2009
The coarsest approximation of the structure of a complex network, such as the Internet, is a simple undirected unweighted graph. This approximation, however, loses too much detail.
Amin Vahdat   +15 more
core   +1 more source

Combining Metal Additive Manufacturing and Casting Technology: High Performance Cooling Channels for Electric Powertrain Components

open access: yesAdvanced Engineering Materials, EarlyView.
When realized as inserts in high‐pressure die casting, aluminum cooling channels for electric powertrain components and similar applications typically require a stabilizing filler to survive the process. The present study investigates relinquishing this filler using additively manufactured inserts promising performance improvements.
Dirk Lehmhus   +9 more
wiley   +1 more source

Configuration and innovation related network topology

open access: yesJournal of Innovation & Knowledge, 2016
Network topologies attract much theoretical attention in recent studies. Researchers adopt network topology models and assert that specific type of network topology improves product and process innovation.
Ela Ozkan-Canbolat, Aydin Beraha
doaj   +1 more source

Network Topology Inference Using Higher-Order Statistical Characteristics of End-to-End Measured Delays

open access: yesIEEE Access, 2020
Network topology is important information for many network control and management applications. Network tomography infers network topology from end-to-end measured packet delays or losses, which is more feasible than internal cooperation-based methods ...
Gaolei Fei   +3 more
doaj   +1 more source

Catecholaminergic manipulation alters dynamic network topology across cognitive states

open access: yesNetwork Neuroscience, 2018
The human brain is able to flexibly adapt its information processing capacity to meet a variety of cognitive challenges. Recent evidence suggests that this flexibility is reflected in the dynamic reorganization of the functional connectome. The ascending
J. Shine   +4 more
semanticscholar   +1 more source

A Multilevel Approach to Topology-Aware Collective Operations in Computational Grids [PDF]

open access: yes, 2002
The efficient implementation of collective communiction operations has received much attention. Initial efforts produced "optimal" trees based on network communication models that assumed equal point-to-point latencies between any two processes.
de Supinski, B.   +4 more
core  

Neural networks for topology optimization [PDF]

open access: yesRussian Journal of Numerical Analysis and Mathematical Modelling, 2019
Abstract In this research, we propose a deep learning based approach for speeding up the topology optimization methods. The problem we seek to solve is the layout problem. The main novelty of this work is to state the problem as an image segmentation task.
Ivan V. Oseledets, Ivan Sosnovik
openaire   +3 more sources

Home - About - Disclaimer - Privacy