Results 51 to 60 of about 6,001,926 (286)
Physical topology discovery for large multisubnet networks [PDF]
IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), 2004 Knowledge of the up-to-date physical (i.e., layer-2) topology of an Ethernet network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today's IP networks, keeping track of topology information manually is a daunting (
Yigal Bejerano +3 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
EURASIP Journal on Wireless Communications and Networking, 2010 Wireless sensor networks are often deployed in hostile and unattended environments. The nodes will be failure by fault, intrusion, and the battery exhaustion. Node-failure tolerance is an acceptable method to improve the networks' lifetime. Then two
Liang-Min Wang +2 more
doaj +2 more sources
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Advanced Engineering Materials, EarlyView.Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Network Path Discovery Mechanism for Failures in Mobile Ad hoc Networks [PDF]
, 2014 Mobile Ad-Hoc Networks (MANET) are form of wireless networks in which nodes can configure by themselves in free and dynamic manner to form temporary network topology. These networks do not have any fixed infrastructure and any centralized administration.
Jitendra Moond, Naveen Choudhary
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Advanced Engineering Materials, EarlyView.More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
The Scientific World Journal, 2014 Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality.
Marjan Radi +3 more
doaj +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Research and Implementation of Network Topology Visualization Based on H3
Dianxin kexue, 2014 A network topology discovery algorithm was given which had the characteristic of rapid and less extra traffic. The path data were stored by database to facilitate the retrieval and processing of data.
Fuguo Xin +3 more
doaj +2 more sources
Latency-aware topology discovery in SDN-based time-sensitive networks
, 2022 Time-Sensitive Networking (TSN) is a set of standards currently being defined by the IEEE 802.1 Time-Sensitive Networking Task Group [1] for Real-Time behavior in the network.
Colle, DidierTW058010011370780000-0002-1428-0301F52E58BC-F0ED-11E1-A9DE-61C894A0A6B4 +9 more
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