Search Results - parallel (resolution OR evolution) ((based algorithm) OR (_ algorithm))
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1
PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…To evaluate the PMT’s performance and adaptability, the PMT was applied to four contemporary metaheuristic algorithms, Differential Evolution, Particle Swarm Optimization, Simulated Annealing, and Whale Optimization Algorithm, to solve 15 well-known benchmark functions as well as 2 real world problems based on the welded beam design and pressure vessel design. …”
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2
Super resolution imaging using modified lanr based on separable filtering
Published 2019“…The underlying idea is to process and reconstruct information in low and high frequency sub-bands based on separable property of neighbourhood filtering to achieve fast parallel and vectorized operation, while enhancing algorithmic performance by reducing computational burden resulting from computing the weighted function of every pixel for each pixel in an image. …”
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3
PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…To evaluate the PMT's performance and adaptability, the PMT has been applied to four contemporary meta-heuristic algorithms, differential evolution (DE), particle swarm optimization (PSO), simulated annealing (SA), and whale optimization algorithm (WOA), to solve 15 well-known benchmark functions. …”
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Article -
4
Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
Published 2017“…OpenACC is a directive based parallel programming library that allows for easy acceleration of existing C, C++ and Fortran based applications with minimal code modifications. …”
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5
Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…In order to address this, a novel solution called Decomposition-based Multi-objective Differential Evolution (MODE/D) is proposed. …”
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6
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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Final Year Project / Dissertation / Thesis -
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt
Published 2020“…In high-quality image samples, processing takes more execution time due to the greater resolution of the image. Therefore, the execution time of the image processing algorithm is also an essential aspect of quality. …”
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OPTIMIZATION OF HYBRID-FUZZY CONTROLLER FOR SERVOMOTOR CONTROL USING A MODIFIED GENETIC ALGORITHM
Published 2011“…Many tuning methods for PID controller have been developed, and one of them is based on natural evolution, the genetic algorithm (GA). …”
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9
Square patch feature based face detection architecture for high resolution smart camera
Published 2010“…In this paper, we proposed a face detection architecture that is suitable to be implemented on a smart camera system. The face detection algorithm is based on a new weak classifier type that we called square patch feature. …”
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Proceeding Paper -
10
Skin region detector for real time face detection system
Published 2012“…In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. …”
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Proceeding Paper -
11
Smile Mask Development of Cryptography Performance of MOLAZ Method (MOLAZ-SM)
Published 2012“…Department of Defense and launched in the eighties to the world. Even so, it parallels the evolution of these methods to penetrate systems. …”
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12
Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…The drive controller is implemented in hardware using Lab Instruments Drive Technology with algorithm software fixed point digital signal processor (DSP) and a high resolution current sensing board to achieve the best torque regulation at various load conditions. …”
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13
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…Regarding the IME of H.264/AVC, we introduce two low cost bit-serial architectures, which are based on full search (FS) algorithm due to its regularity and coding performance. …”
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14
High-Speed Implementations Of Fractal Image Compression For Low And High Resolution Images
Published 2018“…The major drawback of FIC is that it is a time consuming algorithm, especially when a full search is attempted. …”
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15
Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor
Published 2017“…Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. …”
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Article -
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A careful analysis of the algorithm and efficient utilization of Zynq resources results in highly parallelized and pipelined architecture outperforms the state-of-the-art. …”
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17
A coded aperture-based 3D SPECT imaging system for early breast cancer detection
Published 2023“…For the breast phantom, simulations were repeated for different lesion sizes and the tumor-to-background ratio (TBR). The proposed CA-based SPECT camera employs a mosaic MURA mask and antimask combined with the Maximum Likelihood Expectation Maximization (MLEM) algorithm. …”
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18
Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Published 2011“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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Conference or Workshop Item -
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Does Parallel Projection is Suitable in Electrical Capacitance Tomography? –A Comparison with Common Approach
Published 2021“…However, a further investigation is needed to improve the parallel approach for ECT system.…”
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Does Parallel Projection is Suitable in Electrical Capacitance Tomography? –A Comparison with Common Approach
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