Πλοήγηση ανά Θέμα "Heuristic algorithms"
Αποτελέσματα 1-20 από 21
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3DQoE-Oriented and energy-efficient 2D plus depth based 3D video streaming over centrally controlled networks
(2018)IP networks have become the dominant platform for video delivery. However, bandwidth-hungry video is pushing networks to their limits: costs are rising for the operators and the viewing experience is not always satisfactory ... -
Bayesian optimal experimental design using asymptotic approximations
(2017)Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ... -
Calibration of a growth model for tomato seedlings (TOMSEED) based on heuristic optimisation
(2015)A mechanistic growth model for tomato seedlings cultivated in unheated beds is developed, based on modifications of existing tomato growth models. Photosynthetically active radiation at crop level, air temperature and CO2 ... -
A Comparison of Feature Selection Techniques for Neural Network Based Load Forecasting
(2019)The performance of neural networks in load forecasting tasks is highly influenced by the selection of the inputs. This selection is either problem specific or is relied on the literature. The scope of the present study is ... -
Dynamic algorithms for cooperation in user-provided network services
(2017)The ever increasing demand for Internet access, and the proliferation of advanced user-owned network equipment have given rise to collaborative schemes, where users satisfy each other's communication needs whenever they ... -
Dynamic vehicle routing under uncertain travel costs and refueling opportunities
(2019)We study the vehicle routing problem for a system where there is some uncertainty regarding both the cost of travel and the refueling opportunities. Travel cost stands for the energy spent by the vehicle to move between ... -
Efficient Learning Rate Adaptation for Convolutional Neural Network Training
(2019)Convolutional Neural Networks (CNNs) have been established as substantial supervised methods for classification problems in many research fields. However, a large number of parameters have to be tuned to achieve high ... -
A hybrid metaheuristics-based algorithm for electricity load curves profiling
(2021)Clustering-based load profiling utilizes unsupervised machine learning algorithms to form homogenous clusters composed by electricity load curves with similar characteristics. Due to the importance of load profiling in ... -
Joint QoS multicast power / admission control and base station assignment: A geometric programming approach
(2008)The joint power control and base station (BS) assignment problem is considered under Quality-of-Service (QoS) constraints. If a feasible solution exists, the problem can be efficiently solved using existing distributed ... -
A novel adaptive learning rate algorithm for convolutional neural network training
(2017)In this work an adaptive learning rate algorithm for Convolutional Neural Networks is presented. Harvesting already computed first order information of the gradient vectors of three consecutive iterations during the training ... -
Optimal algorithms for hierarchical web caches
(2013)Hierarchical topologies have been applied in many existing systems that provide public IPTV or massive content delivery services. The efficient operation of these services requires massive bandwidth resources. Data caching ... -
Optimal cooperative content placement algorithms in hierarchical cache topologies
(2012)The tremendous growth in the use of the World Wide Web and the expansion of Video On Demand and IPTV services increase the bandwidth demands, enforcing the creation of congestion in Internet's links and the experience of ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimal Experimental Design Methodology for Parameter Estimation of Nonlinear Models
(2021)Experimental data are used to improve structural models and model-based predictions of output quantities of interest (QoI), that are crucial in making decisions regarding structural health, safety and performance. The ... -
Optimal jamming attack strategies and network defense policies in wireless sensor networks
(2010)We consider a scenario where a sophisticated jammer jams an area in which a single-channel random-access-based wireless sensor network operates. The jammer controls the probability of jamming and the transmission range in ... -
Optimal sensor location methodology for structural identification and damage detection
(2006)Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. ... -
Optimization algorithms for system integration
(2008)This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising ... -
Safe Optimistic Path Planning for Autonomous Drones under Dynamic Energy Costs
(2021)Unmanned aerial vehicles or so-called drones are already used in several applications to perform different sensing and monitoring missions. A central problem is to plan these missions so as to minimize the completion time. ... -
The SDN Control Plane Challenge for Minimum Control traffic: Distributed or Centralized?
(2019)Software Defined Networking (SDN) decouples the control and data planes and moves the control logic to the SDN controllers. The traffic in the control plane is either related to the interconnection of the controllers or ... -
Surviving in a competitive market of information providers
(2013)As the processing and transport capacity of the information and communication technologies (ICT) infrastructure increased vastly the last few years, the bottleneck of the information exchange process moved to the end points ...