Search Results - (( java implementation bat algorithm ) OR ( basic solution matching algorithm ))

Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

“…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

“…Traditional schema theory does not support Lamatckian learning, i.e, forcing the genetic representation to match the solution found by the learning algorithm. …”
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A fuzzy case-based reasoning model for software requirements specifications quality assessment by Mostafa S.A., Gunasekaran S.S., Khaleefah S.H., Mustapha A., Jubair M.A., Hassan M.H.

“…The fuzzy Logic technique works on the selected nearest cases and it utilizes similarity measurement methods to classify the cases into no-match, partial-match and complete-match cases. The features matching results assist the revised step of the CBR to generate a new solution. …”

Automated marking of linear algebraic equation using n-gram method / Arsmah Ibrahim ... [et al.] by Ibrahim, Arsmah, A Bakar, Zainab, Othman, Nuru'l - 'Izzah, Ismail, Nur Fuzaina

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Cars detection in stitched image using morphological approach by Joselyn, Jok.

“…The performance of the proposed cars detection algorithm could detect the cars fairly accurate. In addition, this project could be a solution to detect trapped cars in a flood to provide useful information to the rescue department where the image sequences of the flood scene could be stitched together to get a wider view of the flood without zooming the view of the scene to get the whole view of the flood. …”
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An enhance embedding method using edge and textures detection for image steganography by Al-Maliki, Alaa Jabbar Qasim

“…By embedding in noisy zones using edge and texture detection which complicates feature extraction, making hidden information more secure and statistically less detectable than basic LSB matching techniques. The study contributes both theoretically and practically to the field of steganography by developing an innovative algorithm that enhances the security and robustness of image hidden data. …”
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