Search Results - (( evolution optimization mining algorithm ) OR ( parameter classification matching algorithm ))
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Recognition of human motion from qualitative normalised templates
Published 2007“…This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem. In contrast to other human motion classification methods which usually include a human model, prior knowledge on human motion and a matching algorithm, we replace the matching algorithm (e.g. template matching) with the proposed QNTs. …”
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2
Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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Thesis -
3
An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…The objective of this research is to comparatively evaluate the effectiveness of different algorithms, method combination procedure, and their parameters towards classification accuracy. …”
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Proceeding -
4
Logic mining method via hybrid discrete hopfield neural network
Published 2025“…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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8
Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…In order to circumvent a purely arbitrary choice of the internal parameters of the WKS algorithm, we present a four-step feature descriptor framework in an effort to further improve the classical wave kernel signature (WKS) by acting on its variance parameter. …”
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9
Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…In order to circumvent a purely arbitrary choice of the internal parameters of the WKS algorithm, we present a four-step feature descriptor framework in an effort to further improve the classical wave kernel signature (WKS) by acting on its variance parameter. …”
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10
Improved SIFT algorithm for place categorization
Published 2015“…The proposed method will help to minimize computation cost in SIFT thereby, improving the performance of robotic mapping, navigation, and matching.…”
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2017“…Results were compared with well-known algorithms; including, for example, global and local stereo matching algorithms. …”
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12
Classification with degree of importance of attributes for stock market data mining
Published 2004“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…This study introduces two novel techniques designed to overcome the limitations of existing algorithms. Firstly, a new colour correction algorithm named Fuzzy Tuned Brightness Controlled Single-Scale Retinex Histogram Matching (fTBCSSRhm) is proposed to address the issue of colour inconsistency in the dataset. …”
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14
Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…This study introduces two novel techniques designed to overcome the limitations of existing algorithms. Firstly, a new colour correction algorithm named Fuzzy Tuned Brightness Controlled Single-Scale Retinex Histogram Matching (fTBCSSRhm) is proposed to address the issue of colour inconsistency in the dataset. …”
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15
Descriptive analysis of patient diet trends at Pantai Hospital Ayer Keroh
Published 2025“…Without effective data analysis, it is challenging to track dietary trends, assess patient preferences, and optimize meal preparation. To address this problem, this project focuses on enhancing various aspects of healthcare dietary operations by employing CRISP-DM as the methodology to structure the data mining process. …”
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Student Project -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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