Search Results - (( model application matching algorithm ) OR ( its application _ algorithm ))
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. …”
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Haze removal algorithm using improved restoration model based on dark channel prior / Dai Zhen
Published 2019“…Among many studies, the dark channel prior (DCP) dehazing algorithm is a major breakthrough in the field of image dehazing technology, and this algorithm has the advantages of simple, real-time and effective, while the limitation is that its shortcomings are mainly on the atmospheric scatting physical model over-reliance, and cannot be chosen to match the size of the filter temple, the lack of applicability of the sky and the image after the dark side. …”
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Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE
Published 2012“…Hence, the best clinical applications of DL require considerate problem solving solution, selection of the most suitable DL algorithms and information, and defining balance of outcome. …”
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DC-based PV-powered home energy system
Published 2017“…In residential applications, energy engineers are always looking for optimal utilization of solar power to manage the energy use and reduce its impact on our economy and environment. …”
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Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm
Published 2023“…The evaluation of the prediction model demonstrates its accuracy, precision, recall, and F1 score, demonstrating its capacity to identify potential cheaters in PUBG encounters. …”
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Final Year Project Report / IMRAD -
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An estimation algorithm for improved maritime obstacle detection
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…The rough sets vector quantization model proved its usefulness in the speech recognition framework, however it can be extended to different applications that involve large amounts of data such as speaker verification.…”
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Preserving the topology of self-organizing maps for data analysis: A review
Published 2020“…Misinterpretation of the training samples can lead to failure in identifying the important features that may affect the outcomes generated by the SOM model. This paper presents detail explanation on SOM learning algorithm and its applications. …”
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Conference or Workshop Item -
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…Mathematically, in PSNR, the improvement margin of SGWs-HMM was in range from 0.6dB up to 5.6dB compared with different denoising algorithms under investigation, and in SSIM it showed (~0.5-0.72) higher than HMM and Block matching 3D (BM3D) algorithms in different tested images. …”
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CSI-based human activity recognition via lightweight compact convolutional transformers
Published 2024“…By leveraging the strengths of both CNNs and transformer models, the CCT algorithm achieves state-of-the-art accuracy on various benchmarks, emphasizing its excellence over traditional algorithms. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Dynamic spectrum management in cognitive radio networks
Published 2017“…Autonomous, self-organizing and distributed algorithm are key to the success of future wireless network. …”
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Improved GART neural network model for pattern classification and rule extraction with application to power systems
Published 2023“…In this paper, we propose an improved GART model (IGART), and demonstrate its applicability to power systems. …”
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