Search Results - (( programming quality classification algorithm ) OR ( java application bees algorithm ))
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An optimal mesh algorithm for remote protein homology detection
Published 2011“…This paper further presents the best combinations of multiple alignment and classification programs to be chosen. This paper also improves the quality of the multiple alignments via integration of a refinement algorithm. …”
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A De-noising Scheme for Wavelet Based Power Quality Disturbances Detection and Classification system
Published 2011“…A Power quality Classification system can easily extract features from the second detail signal obtained after Discrete Wavelet Transform and using these features to construct a Rule Based Algorithm for identifying types of disturbances that exist in the captured power signal. …”
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A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method
Published 2011“…A Power quality Classification system can easily extract features from the second detail signal obtained after Discrete Wavelet Transform and using these features to construct a Rule Based Algorithm for identifying types of disturbances that exist in the captured power signal. …”
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Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…The quality of the image collection provides a substantial value for the classification model in identifying leaf diseases. …”
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Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and...
Published 2007“…In Smart Antenna system, the intelligence of the system depends on the information collected, processed and implemented through an algorithm i.e. Multiple Signal Classification (MUSIC). …”
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Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.]
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Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
Published 2015“…Further indexing with PLS-WQI using the algorithm programmed in Matlab R2009b which allows for the consideration of only parameters that impart the greatest influence on water quality has resulted in a better presentation of the actual water quality at each station. …”
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Propositional satisfiability method in rough classification modeling for data mining
Published 2002“…The propositional satisfiability method in rough classification model is proposed in this thesis. Two models, Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) to represent the minimal reduct computation problem were proposed. …”
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Development of deep learning based user-friendly interface for fruit quality detection
Published 2024“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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Problem restructuring in interger programming for reduct searching
Published 2003“…Standard Integer Programming / Decision Related Integer Programming (SIP/DRIP) is a reduct searching system that finds the reducts in an information system. …”
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A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships
Published 2025“…Meanwhile, in the classification stage, the C5.0 algorithm achieved the highest accuracy of 97.27% from a total of 551 data points, with 80% used as training data and 20% as testing data. …”
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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“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…Furthermore, classification using the Random Forest algorithm depicted that a 95.3% accuracy (k=0.768), confirming robust predictive capability in identifying course approval status and demand trends. …”
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Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism
Published 2008“…It is intended to facilitate the oil spill response process while at the same time improves the decision-making quality by applying the effective knowledge and expertise in oil spill response procedures. …”
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