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An interpretable fuzzy-ensemble method for classification and data analysis / Adel Lahsasna
Published 2016“…This classifier is the result of combining the advantages of an interpretable fuzzy rule-based system and accurate ensemble method. …”
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Fault diagnostic algorithm for precut fractionation column
Published 2004“…The fault diagnostic algorithm is supported by the process history based method and developed by using Borland C++ Builder 6.0. …”
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Conference or Workshop Item -
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Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm
Published 2019“…The LSD result indicated that the MFO had a significant difference in 67 % of the cases as compared to the comparison algorithms. The result from the case study confirmed that the proposed EE-ASP model and MFO algorithm were applicable for the actual assembly data. …”
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Optimized clustering with modified K-means algorithm
Published 2021“…However, the choice of k is a prominent problem in the process of the k-means algorithm. In most cases, for clustering huge data, k is pre-determined by researchers and incorrectly chosen k, could end with wrong interpretation of clusters and increase computational cost. …”
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Document clustering based on inverse document frequency measure
Published 2005“…An important finding in this study, where 30 cases of documents tested with the IDF algorithm, and the results are divided into three category; correct cluster, incorrect cluster, and unknown cluster.…”
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Pemahaman guru matematik Tahun Enam tentang pembahagian nombor bulat / Hoi Sim Min
Published 2018“…The study also found that teachers have four interpretations of the meaning of division, four interpretations of the meaning of divisor, six interpretations of the meaning of quotient, and five interpretations of the meaning of dividend respectively. …”
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Integration Of G-Code With Position Controller Via Interpreter Design Using MATLAB For Milling Machine Application
Published 2019“…The interpreter functions to extract and interpret the x and y data positions from the generated G-code. …”
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Diagnosis of Poor Control Loop Performance: Investigate Support Vector Regression Method on Stiction Quantification for Control Valve Nonlinearity
Published 2016“…The algorithm had been demonstrated through simulation based on multiple cases studies. …”
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Final Year Project -
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Recognition of Cylindrical and Conical Features Using Edge Boundary Classification
Published 2005“…The application of the technique for cylindrical-based and conical-based features is presented. A case study is discussed and demonstrated to validate the proposed algorithms.…”
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Article -
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Digital Framing and Reputation Crisis: A TikTok Framing Analysis of the Yai Mim–Sahara Case in the Context of Communication
Published 2026journal-article -
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…In the learning section,Support Vector Machine and Artificial Neural Network were selected as suitable classification algorithms,while Gradient Boosted Tree was employed to interpret the rule based on the black box classifiers.Testing the framework involved Pima Indian Dataset as public dataset and Semarang Hospital Dataset as private dataset (800 patients’ data).In validating the DRPF,four case studies investigated Subject Matter Expert (SME) groups based on the agreement level.The questionnaire consists of a DRPF component,implementation of DRPF,and viability of DRPF.DRPF components were validated by the SMEs,whereby the group ascertained five highest risk factors:HbA1c,systole/diastole,blood glucose,and creatinine and blood urea nitrogen that were assigned by attribute weighting.Results from the questionnaire revealed an average agreement level of 80%. …”
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Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…This paper provides an overview of recent research in 3D video action recognition, concentrating on different deep learning architectures, self-supervised learning, graph-based methods, fewshot and zero-shot learning, cross-modal action understanding, and model interpretability. …”
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A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
Published 2023“…Moreover, the proposed identification algorithm is also tested in different scenarios, including based on the classification of strength association measurements between the extracted feature sets. …”
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DATA ANALYTICS FOR HOSPITAL OPERATIONS
Published 2015“…This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. …”
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Final Year Project -
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Published 2024“…The findings indicate that the selected deep learning algorithms were proficient in forecasting COVID-19 cases, although their efficacy varied across different models. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…The study on related work and comparison of algorithm also has been done in this phase. In Design phase, the use case diagram, whole system flowchart and subsystem flowchart has been constructed to assist the development of this web tool. …”
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New optimization feature for the developed open cnc controller based on ISO 6983 and ISO 14649
Published 2021“…This research aims to minimize tool path airtime during machining of input ISO codes via an ant colony optimization algorithm. A new optimized system was developed based on open architecture control (OAC) technology and interpreted STEP-NC (Standard for the Exchange of Product Model Data) programming approaches. …”
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