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mesh algorithm » deer algorithm (Expand Search), search algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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mesh algorithm » deer algorithm (Expand Search), search algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
matching » machine (Expand Search)
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Particle swarm optimization algorithm: review and applications
Published 2024“…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …”
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3
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
Published 2020“…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …”
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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Towards Scalable Process Mining Pipelines
Published 2023“…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …”
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7
The Use of Microwave Tomography in Bone Healing Monitoring
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
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10
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …”
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Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
Published 2019Get full text
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12
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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13
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …”
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14
Automated skills assessment in open surgery: A scoping review
Published 2025“…The assessment input for the automation algorithms were predominantly hand movement. Around 37.5 % (<i>n </i>= 15) of the studies assessed algorithm performance using classification accuracy. …”
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
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16
Structural similarity evaluation between XML documents and DTDs
Published 2007“…In this paper, we propose an algorithm for measuring the structural similarity between an XML document and a Document Type Definition (DTD) considered as the simplest way for specifying structural constraints on XML documents. …”
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17
A quadratic kernel for 3-set packing
Published 2017“…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …”
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Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone
Published 2021“…This risk is specifically eminent in monitoring data transmission traffic, espionage, troop movement, border surveillance, searching, and warfare battlefield phenomenon, etc. …”
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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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Modelling Exchange Rates during Currency Crisis using Neural Networks
Published 2006“…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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