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coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
wsd algorithm » rd algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
wsd algorithm » rd algorithm (Expand Search)
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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
Published 2019“…Moreover, various standard drift related experiments are conducted, of which the results validate our proposed algorithm's superior robustness for the wide range of real-life applications.…”
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A simple algorithm for computing the Fourier spectrum of experimentally obtained signals
Published 1999“…An algorithm is presented for calculating the Fourier coefficients of experimentally obtained waveforms. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
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Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation
Published 2021“…The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). Optimization in this paper is based on minimizing frequency average energy. …”
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
Published 2025“…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …”
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Web Based Online Hybrid Teaching Method of Network Music Course
Published 2022“…The experimental results show that the average accuracy of the improved algorithm is 79.63% in the limited training times, and has better adaptability. …”
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Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv...
Published 2019“…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”
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Automatic Video Summarization Using HEVC and CNN Features
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Fuzzy genetic algorithm for floorplanning
Published 2020“…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …”
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A Tabu Search algorithm for mapping data to multicomputers. (c1997)
Published 1997Get full text
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EFFICIENT ALGORITHM FOR WEINBERGER ARRAY FOLDING
Published 2020“…THis paper describes an algorithm for folding weinberger arrays. The algorithm performs column and row ordering and tehn column folding. …”
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Stochastic evolution algorithm for technology mapping
Published 1998“…Experimental results show that SELF-Map has an overall better performance compared to other algorithms reported in the literature…”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
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Bee Colony Algorithm for Proctors Assignment.
Published 2015“…We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …”
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Stochastic Search Algorithms for Exam Scheduling
Published 2007“…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …”
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Kernelization algorithms for the vertex cover problem
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