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1
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
2
Investigation and implementation of some probabilistic algorithms.
Published 1988Get full text
masterThesis -
3
Parallel Algorithm for Hardware Implementation of Inverse Halftoning
Published 2005“…A Parallel algorithm and its hardware implementation of Inverse Halftone operation is proposed in this paper. …”
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article -
4
Parallel algorithm for hardware implementation of inverse halftoning
Published 2005“…A parallel algorithm and its hardware implementation are proposed for an inverse halftone operation. …”
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5
ROBOT ASSISTED REAL WORLD IMPLEMENTATIONS OF SENSOR DEPLOYMENT ALGORITHMS
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masterThesis -
6
A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation
Published 2020“…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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7
A parallel GPU implementation of the timber wolf placement algorithm
Published 2015“…The algorithm has been implemented on a Xeon Workstation using C, and achieved a substantial acceleration on an Nvidia Tesla C2070 card.…”
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conferenceObject -
8
An Adapted Load-Balancing implementation for Sharded Blockchains
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masterThesis -
9
A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA
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masterThesis -
10
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
Published 2013“…Al-Omari entitled, "Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter," submitted in June 2013. …”
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doctoralThesis -
11
Parallel implementation of clique partitioning using artificial neural networks. (c2000)
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masterThesis -
12
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13
Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
Published 2019“…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
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14
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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15
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…These discriminative motifs can be further studied to understand their role both at the evolutionary and disease levels.…”
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masterThesis -
16
Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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17
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …”
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18
Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
Published 2018“…In addition, it can be implemented in a low-cost control platform due to its simplicity. …”
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19
Activity-level space scheduling
Published 1992“…Activity-level space scheduling involves allocating site space over time to static and dynamic construction resources such as robots. …”
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conferenceObject -
20
Boosting the visibility of services in microservice architecture
Published 2023“…Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…”