Search Results - (( based constructive method algorithm ) OR ( quality classification system algorithm ))
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1
A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method
Published 2011“…Using the de-noising scheme proposed in this paper, a higher tolerance to noise can be achieved by the Power Quality Problem Classification system.…”
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2
Application of slantlet transform based support vector machine for power quality detection and classification
Published 2015“…To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. …”
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3
Application Of Slantlet Transform Based Support Vector Machine For Power Quality Detection And Classification
Published 2015“…To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. …”
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4
A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…One of the vital significant issues for constructing a high quality neuro-fuzzy system is the creation of the knowledge base, which mainly consists of membership functions and fuzzy rules. …”
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5
Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim
Published 2025“…The increasing complexity of modern power systems necessitates advanced methods for detecting and classifying power quality disturbances (PQDs), which impact system reliability and equipment performance. …”
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6
Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition
Published 2006“…In this study, an intelligent system is developed for the classification of river water quality using the HMLP network. …”
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7
Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Therefore, the RF classification model is chosen to be integrated into the Intent-IQ system. …”
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8
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.]
Published 2022“…As a result, a new grading system based on artificial algorithms, namely K-Nearest Neighbor algorithms, was established. …”
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Book Section -
9
A De-noising Scheme for Wavelet Based Power Quality Disturbances Detection and Classification system
Published 2011“…Using the de-noising scheme proposed in this paper, a higher tolerance to noise can be achieved by the Power Quality Problem Classification system.…”
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10
Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia
Published 2022“…By manually annotating many batches of randomly chosen reviews, we constructed a machine learning quality classifier (MLQC) based on the SERVQUAL model and a machine learning sentiment analyzer (MLSA). …”
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11
Real-time power quality disturbance classification using convolutional neural networks
Published 2020“…There is a growing interest in disturbance monitoring to maintain power quality. This paper developed a real-time power quality disturbance (PQD) detection system using convolutional neural networks (CNN) due to its fast and accurate feature extraction and classification. …”
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Book Chapter -
12
A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation
Published 2019“…RP is considered as a vital role in ensuring the development of a quality system with defined constraint. Stakeholder quantification and prioritisation (SQP) is executed to quantify and prioritise the stakeholders of the system based on their impacts. …”
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13
POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD
Published 2012“…Thus it is a suitable model to be used in real time implementation through a Digital Signal Processor (DSP)- based embedded system for power quality disturbances detection and classification.…”
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14
Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch
Published 2015“…The system consists of an image acquisition system, image processing component and oil palm FFB classification system. …”
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15
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 simple terms, these array antennas can reduce the co channel interference and effectively utilize the bandwidth by steering a high gain in the direction of interest and low gains in the undesired directions. In Smart Antenna system, the intelligence of the system depends on the information collected, processed and implemented through an algorithm i.e. …”
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16
VEHICLE CLASSIFICATION USING NEURAL NETWORKS AND IMAGE PROCESSING
Published 2022“…The aim of this study is to propose a vehicle classification scheme where YOLO v5 algorithm and Faster R-CNN algorithm are being implemented separately into vehicle classification, followed by comparison of result between these two algorithms. …”
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17
Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
Published 2017“…Empirical results have shown that the quality of classification methods depends on the discretization algorithm in preprocessing step. …”
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Rough set discretization: Equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
Published 2016“…Empirical results have shown that the quality of classification methods depends on the discretization algorithm in preprocessing step. …”
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Conference or Workshop Item -
19
Rough Set Discretization: Equal Frequency Binning, Entropy/MDL and Semi Naives Algorithms of Intrusion Detection System
Published 2016“…Empirical results have shown that the quality of classification methods depends on the discretization algorithm in preprocessing step. …”
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Book Chapter -
20
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Thus, the challenge is how to develop an efficient model that can decrease the learning time without affecting the quality of the generated classification rules. Huge information systems or data sets usually have some missing values due to unavailable data that affect the quality of the generated classification rules. …”
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