Results 81 to 90 of about 359,562 (287)

Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction

open access: yesIFAC-PapersOnLine, 2020
Abstract Traffic prediction is an elemental function of Intelligent Transportation Systems (ITS), and accurate and timely prediction is significant for both proactive traffic control and providing traveler information. In this paper, we focus on investigating ensemble leaning that benefits from different base models, and propose a traffic-condition ...
Yuanyuan Chen   +3 more
openaire   +1 more source

Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee   +5 more
wiley   +1 more source

A structured distributed learning framework for irregular cellular spatial-temporal traffic prediction

open access: yesDigital Communications and Networks
Spatial-temporal traffic prediction technology is crucial for network planning, resource allocation optimizing, and user experience improving. With the development of virtual network operators, multi-operator collaborations, and edge computing, spatial ...
Xiangyu Chen   +6 more
doaj   +1 more source

Nanodiamond‐Based Quantum Sensing Reveals Changes in Endo‐Lysosomal Activity of Stimulated Cardiac Fibroblasts in a Cellular Fibrosis Model

open access: yesAdvanced Functional Materials, EarlyView.
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk   +3 more
wiley   +1 more source

The impacts for stone curlews of increased traffic on the A11. Model and predictions [PDF]

open access: yes, 2009
Stone curlew nest density in the Breckland region of Eastern England was shown to be negatively related to ‘nearby’ housing density and ‘nearby’ trunk road traffic (based on new traffic data for the period 1988-2006).
Clarke, Ralph T., Liley, D., Sharp, J.
core  

Laser Engineering of HfN‐Based Nanoparticles for Safe NIR‐I Photothermal and X‐ray Enhancing Cancer Therapies

open access: yesAdvanced Functional Materials, EarlyView.
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova   +15 more
wiley   +1 more source

Predictive Models of Network Traffic Load

open access: yes, 2011
Peer ...
Montesino Pouzols, Federico   +2 more
openaire   +2 more sources

A Human‐Based Skin‐Lymphoreticular Model‐on‐Chip to Emulate Inflammatory Skin Conditions

open access: yesAdvanced Healthcare Materials, EarlyView.
A human‐based lymphoreticular (LR) model was developed through guided self‐assembly and integrated in a skin‐lymphoreticular co‐culture in a microfluidic organ‐on‐chip to mimic interactions between skin and its draining lymph nodes. The human‐based skin‐lymphoreticular model resembles a minimally functional unit that allows to study interactions ...
Zheng Tan   +3 more
wiley   +1 more source

Network traffic multi-step prediction based on chaos theory and improved echo state network

open access: yesTongxin xuebao, 2016
Network traffic prediction was an important problem of network management and network congestion control.In order to solve this problem,a network traffic prediction method based on chaos theory and improved echo state net-work was proposed.Firstly ...
Zhong-da TIAN   +3 more
doaj   +2 more sources

A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction

open access: yes, 2017
Network Traffic Matrix (TM) prediction is defined as the problem of estimating future network traffic from the previous and achieved network traffic data. It is widely used in network planning, resource management and network security.
Azzouni, Abdelhadi, Pujolle, Guy
core  

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