Search Results - (( processing tasks classification algorithm ) OR ( java application optimization algorithm ))
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1
Functional link PSO neural network based classification of EEG mental task signals
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Working Paper -
2
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Due to that reason, this study attempts to use SVM algorithm on employee’s performance databases for talent classification. …”
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Research Reports -
3
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…However, there is a need to explore more algorithms that can yield better classification performance. …”
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Article -
4
Knowledge base processing method based on text classification algorithm
Published 2023“…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
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Conference or Workshop Item -
5
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
6
Modified word representation vector based scalar weight for contextual text classification
Published 2024“…In addition, a contextual text classification experiment is conducted using benchmarked datasets to assess the performance of the modified word vectors in the targeted classification task. …”
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Thesis -
7
Taylor-Bird Swarm Optimization-Based Deep Belief Network For Medical Data Classification
Published 2022“…However, finding the most appropriate deep learning algorithm for a medical classification problem along with its optimal parameters becomes a difficult task. …”
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Thesis -
8
Feature Selection with Harmony Search for Classification: A Review
Published 2021“…In the area of data mining, feature selection is an important task for classification and dimensionality reduction. …”
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Proceeding -
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Fuzzy based classification of EEG mental tasks for a brain machine interface
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Article -
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11
A New And Fast Rival Genetic Algorithm For Feature Selection
Published 2021“…Feature selection is one of the significant steps in classification tasks. It is a pre-processing step to select a small subset of significant features that can contribute the most to the classification process. …”
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Article -
12
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Furthermore, here these algorithms used to train the MLP on two tasks; the seismic event's prediction and Boolean function classification. …”
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Thesis -
13
Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…Feature selection or attribute reduction is a crucial process to achieve optimal data reduction for classification task. …”
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Book Section -
14
Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Subsequently, the integration of embedded correlation-based filtering algorithm has further increased the classification accuracy of training process and testing process by 4.93% and 14.73% respectively. …”
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Thesis -
15
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
16
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
17
Multitasking deep neural network models for Arabic dialect sentiment analysis
Published 2022“…Therefore, a model called Multi-Tasking Learning based on Convolutional Hierarchical Attention Neural Network (MTL-CHAN) is proposed, comprising of (i) shared word encoder and word attention networks across classification tasks, (ii) task-specific layers with convolutional neural network-based attention (CNNA) on sentence-level; to handle the Arabic explicit negation words and improve the classification performance by training Arabic classification tasks (binary, ternary, and five) jointly. …”
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Thesis -
18
Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition
Published 2017“…The problems in applying unsupervised learning/clustering is that this method requires teacher during the classification process and it has to learn independently which may lead to poor classification. …”
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Thesis -
19
Optimized feature construction methods for data summarizations of relational data
Published 2014“…The summarized data will then be fed to any classification algorithm to perform the classification task. …”
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Thesis -
20
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…With the aid of parallel processing method introduced in this research, both central processing core units and graphic card receive a different program instruction to execute the task assigned to them simultaneously. …”
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Final Year Project / Dissertation / Thesis
