Search Results - (( parallel classification model algorithm ) OR ( using vectorisation using algorithm ))
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3D silhouette rendering algorithms using vectorisation technique from Kedah topography map
Published 2004“…The vectorisation software has been used for producing these data. …”
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2
Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living
Published 2024“…At last, tuning of parameters related to parallel BiGRU model performed by AOA. An wide set of tests carried out to illustrate better performance of AOADL-TC model. …”
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3
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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4
EMG motion pattern classification through design and optimization of neural network
Published 2012“…The ANN models work in parallel thus providing higher computational performance than traditional classifiers which function sequentially. …”
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Proceeding Paper -
5
A DNA-dynamic permutation-diffusion algorithm for image encryption using scaling chaotification models and advanced DNA operations
Published 2025“…To evaluate the proposed algorithm, extensive experiments have been conducted, and results have been compared with the latest encryption algorithms. …”
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper -
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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Conference or Workshop Item -
8
An Automated System For Classifying Conference Papers
Published 2021“…The Knowledge Discovery in Databases (KDD) process was followed as a formal data mining methodology where 1000 AI conference papers were carefully collected, pre-processed and transformed to numerical representations through TF-IDF vectorisation. A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
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9
Random sampling method of large-scale graph data classification
Published 2024“…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…With the parallelization of MHS hybrid models, the computational time is effectively reduced, with RF hybrid models faster than SVM hybrid models. …”
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Thesis -
12
On line fault detection for transmission line using power system stabilizer signals
Published 2007“…Hence, this study will show that not only the PSS able to compensate the damping due to the disturbance but also by using the developed algorithm it succeeds to detect and classify the fault conditions on the parallel transmission lines.…”
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