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layer algorithm » jaya algorithm (Expand Search)
deer algorithm » search algorithm (Expand Search)
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Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
Published 2006“…Although the described solution is generic at first sight, its sensitivity to time-of-arrival accuracy imposes the choice of an impulse-radio ultra-wideband physical layer in the very context. On the other hand, a distributed algorithm coupled with this synchronization scheme mitigates the impact of non-line-of-sight ranging errors on positioning accuracy without any additional protocol hook. …”
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Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Published 2024“…The quality of the output produced by the multi-layer perceptron neural network depends on the careful selection of its weights and biases. …”
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Comparative Study of Control Strategies for Under Actuated Manipulator
Published 2006Get full text
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44
Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array
Published 2022“…The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. …”
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Hybrid quantum–cloud framework for nonlinear clustering optimization and intelligent resource management
Published 2025“…This architecture has its quantum layer where nonlinear clustering is done to achieve more accurate workload partitioning, and cloud layer sharing resources and balancing throughput, latency, and energy efficiency. …”
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Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
Published 2021“…The proposed forecasting tool incorporates a base model and meta-model layers. The first-layer base learner combines extreme learning machines, extremely randomized trees, k-nearest neighbor, and mondrian forest models. …”
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
Published 2013Get full text
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48
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
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49
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…Each model represents a leg with a distinct fat layer thickness; thus, the three models are for legs with thin, medium, and thick fat layers. …”
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EV Charging Coordination in Blockchain-Based Energy Markets
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51
Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…<p>A multi-modal transportation system of a city can be modeled as a multiplex network with different layers corresponding to different transportation modes. …”
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DSDM: A Distributed Service Discovery Model for Manets
Published 2008“…This model is built on top of the network layer of the TCP/IP stack and benefits from the up-to-date routing information enabled by proactive routing protocols that attempt to keep the information in the routing tables of the mobile nodes current. …”
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LaScaDa: A Novel Scalable Topology for Data Center Network
Published 2020“…LaScaDa forwards packets between nodes using a new hierarchical row-based routing algorithm. The algorithm constructs the route to the source based on the modular difference between the source and destination coordinates. …”
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. The latter is trained using the gradient descent algorithm allowing to iteratively update the term-category matrix until reaching convergence. …”
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Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices
Published 2023“…The success of the Multi-Layer Perceptron Neural Network (MLP) relies on carefully configuring its weights and biases to promising values. …”
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Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …”
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masterThesis