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Optimising a waste management system using the Artificial Bee Colony (ABC) algorithm
Published 2025“…The implementation of ABC algorithm consists of four phases which are initialisation, employed, onlooker and scout bee phases. …”
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Student Project -
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…In the post-islanding phase, the load frequency control for each islanded area is optimally tuned using multi objective ABC optimization technique to maintain nominal system frequency at all times. …”
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Thesis -
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An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2013“…In this paper, a modified Artificial Bee Colony (mABC) is used to recover the BP drawbacks. With modifications on the employed bee’s exploitation phase, the implementation of the mABC as a learning scheme for FLNN has given a better accuracy result for the classification tasks.…”
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Article -
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An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2012“…In this paper, a modified Artificial Bee Colony (mABC) is used to recover the BP drawbacks. With modifications on the employed bee’s exploitation phase, the implementation of the mABC as a learning scheme for FLNN has given a better accuracy result for the classification tasks.…”
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Article -
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An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2012“…In this paper, a modified Artificial Bee Colony (mABC) is used to recover the BP drawbacks. With modifications on the employed bee’s exploitation phase, the implementation of the mABC as a learning scheme for FLNN has given a better accuracy result for the classification tasks.…”
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Article -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Book Chapter -
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The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)
Published 2021“…Support Vector Machine (SVM) technique is used with the Whale Optimization Algorithm (WOA) which is inspired by the swarm optimization algorithms. …”
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Proceeding Paper -
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Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…This research combines the ontology and text representation for classification by developing five algorithms. The first and second algorithms namely Concept Feature Vector (CFV) and Structure Feature Vector (SFV), create feature vector to represent the document. …”
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Thesis -
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Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
Published 2021“…This work aims to model the combined cycle power plant (CCPP) using different algorithms. The algorithms used are Ridge, Linear regressor (LR), and support vector regressor (SVR). …”
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Article -
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Using the bees algorithm to optimise a support vector machine for wood defect classification
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An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…The Information Gain borrowed from Information Retrieval theory and Term-term Correlation algorithm are used to determine the relevancy of these features to be selected or merged in order to form a new generation of TF-IDF vector space. …”
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Thesis -
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Support directional shifting vector: A direction based machine learning classifier
Published 2021“…There exist several types of classification algorithms, and these are based on various bases. The classification performance varies based on the dataset velocity and the algorithm selection. …”
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Article -
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…Based on the acquired results, the experiments reveal that the modified word vectors algorithm can effectively alter original LLM-generated word vectors to reflect intended contexts and can outperform baseline scores in contextual text classification tasks. …”
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Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime
Published 2008“…The performance analysis of the proposed algorithms was conducted by using the discrete-event simulator, OMNeT++. …”
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Thesis -
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Ultra-short-term PV power forecasting based on a support vector machine with improved dragonfly algorithm
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Conference or Workshop Item -
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Ontology-based indexing of annotated images using semantic DNA and vector space model
Published 2014“…The proposed approach is evaluated by comparing the indexing achieved using the proposed semantic algorithm with results obtained using a traditional TF-based indexing in vector space model (VSM) with singular value decomposition (SVD) technique. …”
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Conference or Workshop Item -
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