Search Results - (( co extraction method algorithm ) OR ( feed formulation based algorithm ))*
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POTENTIAL GROUPER FEED FORMULATION BASED ON EVOLUTIONARY ALGORITHM CONCEPT WITH A UNIQUE SELECTION OPERATOR
Published 2018“…Therefore, turning to formulated feed mix is the alternative. However, the issue is on its cost while providing quality feed mix. …”
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Potential grouper feed formulation based on evolutionary algorithm concept with a unique selection operator
Published 2018“…However, the issue is on its cost while providing quality feed mix.That leads to the search for an approach which could provide the most suitable feed ingredients and nutrients.One potential approach is the Evolutionary Algorithm (EA) which has been used to solve the feed formulation problems in poultry, shrimp and cattle.Hence, in this study, an EA-based approach with a refinement on using the standard deviation in the strategy of tournament selection has been proposed to minimize the total cost in formulating the feed of grouper fish.Results show that the lowest cost can be accepted while satisfying the nutrient requirements of grouper fish.…”
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An Improved Evolutionary Algorithm in Formulating a Diet for Grouper
Published 2023“…The preliminary findings of SR-SD-EA show that the obtained cost computed based on the Best-So-Far feed formulation as the solution is comparable, while all the crucial constraints are fulfilled…”
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A multi-criteria proximal bundle-based optimization approach to chick-mash feed formulation
Published 2016“…The algorithm of this method is based on the objective functions classification. …”
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An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation
Published 2022“…*e proposed selection operator has been experimented within fish feed formulation in grouper fish farming as a case study on finding the minimum cost and fulfilling constraints. …”
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Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…The proposed deep reinforcement learning algorithm, which integrates an artificial neural network with traditional reinforcement learning, was formulated based on the optimisation objective by manipulating only the substrate feeding rate. …”
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Thesis -
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Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm
Published 2021“…In data preprocessing, a clean and useful data is produced and become as an input for association analysis process. Then, the Apriori algorithm is used to formulate association ruleset in association analysis process and is known as the CTI Association Ruleset (CTI-AR). …”
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Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter
Published 2017“…The objective of this paper is to formulate an algorithm for tuning SVM parameters and feature subset selection.This can be achieved by simultaneously performing the selection of feature subset and tuning SVM parameters tasks. …”
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Analysis of minutia extraction techniques in fingerprint recognition.
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Working Paper -
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HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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Final Year Project -
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…To capture the spatiotemporal channel state information (CSI), the second proposed algorithm adopts machine learning techniques with anchor graph hashing to extract generalized features before feeding them into the DQN. …”
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Final Year Project / Dissertation / Thesis -
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Overview of biomedical relations extraction using hybrid rule-based approaches.
Published 2013“…A lot of works have been done on relation extraction in biomedical field. However, each of them was implemented in three major types of techniques separately i.e.co-occurrence,kernel based and rule based methods. …”
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Combining deep and handcrafted image features for MRI brain scan classification
Published 2019“…In parallel, handcrafted features are extracted using the modified gray level co-occurrence matrix (MGLCM) method. …”
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A pond-surface-based Biofloc-farm health-monitoring system for African catfish using deep learning methods
Published 2022“…The research methodology stages are; (i) Acquisition of daily recordings of the surfaces of fish ponds and their respective daily health, (ii)Formulating and developing a fish health monitoring algorithm based on their behaviour from the surface, (iii) Selection of training data based on the recordings and health,(iv) performance metric evaluation, (v) Assessment of experimental results of the Biofloc Fish Health Monitoring System On Pond Surface algorithm, and (vi) final report and project wrap-up. …”
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Academic Exercise -
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Kadazandusun speech recognition: a case study
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HEp-2 cell images classification based on statistical texture analysis and fuzzy logic
Published 2014“…This paper proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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Conference or Workshop Item -
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…This algorithm was compared to co-spectral plot method for labelling clusters the clusters generated in Landsat TM dataset. …”
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…A few future recommendations such as Gray level co-occurrence matrix, Markov random field or Gabor filter to improve the feature extraction results. …”
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Image matching using relational graph representation
Published 2005“…Structural descriptions are consist of lines and interline relationship in the line-extracted image. Three conditions of inter-line relationship, namely ordering, intersection and co-linearity, were defined and derived in this study. …”
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