Results 61 to 70 of about 1,926,764 (285)

SIR Analysis in 3D UAV Networks: A Stochastic Geometry Approach

open access: yesIEEE Access, 2020
In this work, a mathematical framework to evaluate the performance of a finite, three dimensional (3D) unmanned aerial vehicle (UAV) network in the presence of interference is developed.
Charalampos K. Armeniakos   +2 more
semanticscholar   +1 more source

Stochastic Geometry: Boolean model and random geometric graphs

open access: yesESAIM: Proceedings and Surveys, 2015
This paper collects the four contributions which were presented during the session devoted to Stochastic Geometry at the journées MAS 2014.
Calka Pierre   +4 more
doaj   +1 more source

Gene Transfer in Rodent Nervous Tissue Following Hindlimb Intramuscular Delivery of Recombinant Adeno-Associated Virus Serotypes AAV2/6, AAV2/8, and AAV2/9

open access: yesNeuroscience Insights, 2019
Recombinant adeno-associated virus (rAAV) vectors have emerged as the safe vehicles of choice for long-term gene transfer in mammalian nervous system. Recombinant adeno-associated virus–mediated localized gene transfer in adult nervous system following ...
Asad Jan   +4 more
doaj   +1 more source

Random Lie Brackets that Induce Torsion: A Model for Noisy Vector Fields [PDF]

open access: yesarXiv, 2020
We define and study a random Lie bracket that induces torsion in expectation. Almost all stochastic analysis on manifolds have assumed parallel transport. Mathematically this assumption is very reasonable. However, in many applied geometry and graphics problems parallel transport is not achieved, the "change in coordinates" are not exact due to noise ...
arxiv  

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Stochastic switching between multistable oscillation patterns of the Min-system

open access: yesNew Journal of Physics, 2016
The spatiotemporal oscillation patterns of the proteins MinD and MinE are used by the bacterium E. coli to sense its own geometry. Strikingly, both computer simulations and experiments have recently shown that for the same geometry of the reaction volume,
Artemij Amiranashvili   +2 more
doaj   +1 more source

Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control

open access: yesAdvanced Engineering Materials, EarlyView.
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann   +18 more
wiley   +1 more source

System-Level Modeling and Optimization of the Energy Efficiency in Cellular Networks—A Stochastic Geometry Framework [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2018
In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the aid of tools from stochastic geometry, we introduce a new closed-form analytical expression of the potential spectral efficiency (bit/sec/m2).
M. Renzo   +3 more
semanticscholar   +1 more source

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

open access: yesAdvanced Engineering Materials, EarlyView.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger   +6 more
wiley   +1 more source

Stochastic Geometry-Based Analysis of Airborne Base Stations With Laser-Powered UAVs [PDF]

open access: yesIEEE Communications Letters, 2019
One of the most promising solutions to the problem of limited flight time of unmanned aerial vehicles (UAVs), is providing the UAVs with power through laser beams emitted from Laser Beam Directors (LBDs) deployed on the ground.
Mohamed-Amine Lahmeri   +2 more
semanticscholar   +1 more source

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