Results 111 to 120 of about 148,724 (314)

An extended analysis of approximation algorithms for k-median problems on complex networks

Applied Network Science
Abstract Finding the k -median in a network involves identifying a subset of k vertices that minimize the total distance to all other vertices in a graph. This problem has been extensively studied in computer science, graph theory, operations research, and numerous areas due
openaire   +2 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems

Journal of Computer Networks and Communications, 2012
A high peak-to-average power ratio (PAPR) is one of the major drawbacks to using orthogonal frequency division multiplexing (OFDM) modulation. The three most effective distortionless techniques for PAPR reduction are partial transmit sequence (PTS ...
A. Ghassemi, T. A. Gulliver
doaj   +1 more source

Efficient Data Gathering Methods in Wireless Sensor Networks Using GBTR Matrix Completion

Sensors, 2016
To obtain efficient data gathering methods for wireless sensor networks (WSNs), a novel graph based transform regularized (GBTR) matrix completion algorithm is proposed.
Donghao Wang, Jiangwen Wan, Zhipeng Nie, Qiang Zhang, Zhijie Fei   +4 more
doaj   +1 more source

Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover

, 2006
In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R., Jennings, Nicholas R., Rogers, Alex, Jennings, NR, Prügel-Bennett, Adam   +4 more
core   +1 more source

Compatibility of Methacrylate Based Resins Controls Interfacial Failure and Toughness in 3D‐Printed Multimaterial Composites

Advanced Engineering Materials, EarlyView.
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim, Li Meng, Ahmad R. Najafi, Nicolas J. Alvarez   +3 more
wiley   +1 more source

Improved Mapping Algorithms Performance in NoCs Design Based on Cellular Learning Automata

International Journal of Information and Communication Technology Research, 2014
NOC technology is a solution to cover the communication challenges of complex systems. The important note in the matter of application mapping for those of NoCs who are based on mesh architecture is their NP-hard problem.
Mohammad Bagher Keley, Ahmad Khademzadeh, Mehdi Hosseinzadeh   +2 more
doaj  

Performance Analysis and Parallel Scalability of Numerical Methods for Fractional-in-Space Diffusion Problems with Adaptive Time Stepping

We study numerical methods and algorithms for time-dependent fractional-in-space diffusion problems. The considered anomalous diffusion is modelled by the fractional Laplacian (−Δ)α, 0<α<1, following the integral definition.
Svetozar Margenov, Dimitar Slavchev
core   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Improving the Delay Performance of CSMA Algorithms: A Virtual Multi-Channel Approach

, 2013
CSMA algorithms have recently received a significant amount of interest in the literature for designing efficient wireless control algorithms. CSMA algorithms are attractive because they incur low computation complexity and communication overhead, and ...
Lin, Xiaojun, Xiaojun Lin, Po-Kai Huang, Huang, Po-Kai   +3 more
core   +1 more source