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deep clustering » data clustering (Expand Search)
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deep clustering » data clustering (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
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A Survey of Data Clustering Techniques
Published 2023“…Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
Published 2024“…Due to their reliance on sizable fault currents, classic fault detection techniques are no longer suitable for microgrids that employ inverter-interfaced distributed generation. Nowadays, deep learning algorithms are essential for ensuring the reliable, safe, and efficient operation of these complex energy systems. …”
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Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
Published 2005“…To test the security of the algorithms we use a famous attack algorithm called Pollard's rho algorithm that works in the domain of natural integers. …”
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. 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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Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
Published 2018“…To this end, an efficient algorithm for forward and backward tracking of passive particles in stochastic flow-fields is presented. …”
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Using genetic algorithms to optimize software quality estimation models
Published 2004“…Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. …”
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Get full text
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FPGA-Based Network Traffic Classification Using Machine Learning
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…The algorithm was implemented using VHSIC hardware description language (VHDL) and downloaded on a field programmable gate array (FPGA) device. …”
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Algorithm for Parallel Inverse Halftoning using Partitioning of Look-Up Table (LUT)
Published 2007“…The proposed algorithm can be implemented on a single FPGA (Field Programmable Gate Arrays) device with external memories to store s-LUTs.…”
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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
Published 2021“…Therefore, big data analytics field emerged to tame the generated big data, and use it to provide useful insights to the world. …”
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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
Published 2022“…All the results were validated using field measurements, in-situ measurements, and laboratory analyses of field samples. …”
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Modified RSA in the domains of Gaussian integers and polynomials over finite fields
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conferenceObject