Search Results - (( mastery learning algorithm ) OR ((( patterns scoping algorithm ) OR ( patterns a algorithm ))))
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1
Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
Published 2020“…This paper aims to manage the current and future patterns of research on facility layout issues dependent on past research including formulations, arrangement procedures, and the scope for utilization of hybrid algorithms. …”
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Thesis -
2
Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
Published 2008“…They can recognize pattern within vast dataset and generalize those patterns into recommended courses of action to achieve desired target. …”
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3
Analysis of Traffic Accident Patterns Using Association Rule Mining
Published 2024“…The application of the apriori algorithm facilitated the identification of frequent itemsets and rules that reveal patterns across accident variables, such as road conditions, road functions, accident types, weather conditions, and victim statuses. …”
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4
Comparative analysis of line search methods in the Steepest Descent algorithm for unconstrained optimization problems / Ahmad Zikri Shukeri, Puteri Qurratu Ain Megat Sulzamzamendi...
Published 2024“…The study's trajectory takes a subtle turn as it proposes a modified methodology that includes a detailed comparison investigation of several line search strategies inside the SD algorithm. …”
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Student Project -
5
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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6
Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption
Published 2026“…However, it is limited to a single household and does not reflect differences in household types, locations, or usage patterns. …”
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Conference or Workshop Item -
7
Improving Time Series Models Prediction Based On Empirical Mode Decomposition Using Stock Market Data
Published 2021“…Empirical mode decomposition (EMD), a very essentially important part of Hilbert-Huang transforms (HHT) is a very adaptive decomposition algorithm to view data from granular and different time scales. …”
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8
Auto raise hand in Microsoft teams (API/Extension)
Published 2023“…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Final Year Project / Dissertation / Thesis -
9
Improving named entity recognition accuracy of gene and protein in biomedical text
Published 2011“…In this study, to handle the above issues in recognizing gene and protein names, a statistical similarity measurement as a pattern matching function is proposed. …”
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10
AI-Based Drug Design: Revolutionizing Drug Discovery through in Silico Analysis
Published 2023“…By harnessing AI's virtuosity, drug discovery processes are imbued with unprecedented speed and precision. Machine learning algorithms harmonize with intricate biological datasets, unraveling patterns and relationships previously enshrouded in complexity. …”
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Article -
11
XML web services / Wong Kok Chuan
Published 2003“…Next is the implementation phase which covers a brief description on the development environment used, explanations on a few algorithms used and the coding techniques and patterns which I followed. …”
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12
A review of visualization techniques for duplicate detection in cancer datasets
Published 2025“…While some tools offer scalable and interactive features, few provide clear visual representations of duplicates, especially those involving complex temporal and multidimensional patterns. Several methodological gaps are identified, including limited integration of data quality metrics, inadequate support for tracking changes over time, and a lack of standardized evaluation frameworks. …”
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13
Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib
Published 2019“…Biological domain is one of the critical areas that always seek for useful knowledge and patterns observed through available methods, including data mining. …”
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14
Modeling total quality management in higher education with case-based reasoning
Published 2023“…This paper emphasizes on the mastery learning approach, which is in line with TQM. …”
Article -
15
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…A few parts of this algorithm need a modification to assure that it is suitable for mining infrequent pattern. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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17
An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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18
An expanded square pattern technique in swarm of quadcopters for exploration algorithm
Published 2017“…In this algorithm, the expanded square pattern is conducted by a series of distance around a fixed reference point. …”
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19
Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…A few parts of this algorithm need a modification to assure that it is suitable for mining infrequent pattern. …”
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Conference or Workshop Item -
20
Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset
Published 2018“…The R-Eclat is a novel algorithm that determines infrequent patterns in the transaction database. …”
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Article