Search Results - (( a constructive method algorithm ) OR ( waste detection method algorithm ))
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An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Published 2024“…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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RGB and RGNIR image dataset for machine learning in plastic waste detection
Published 2025“…The increasing volume of plastic waste is an environmental issue that demands effective sorting methods for different types of plastic. …”
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Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…It is a fully automated black-box testing approach that uses Upper Confidence Bound (UCB) exploration-exploitation strategy to generate actions that visit unexplored states of the app and uses the execution of the app on the generated actions to construct a state-transition model. …”
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Fault detection and diagnosis for gas density monitoring using multivariate statistical process control
Published 2011“…Therefore, an efficient fault detection and diagnosis algorithm needs to be developed to detect faults that are present in a process and pinpoint the cause of these detected faults. …”
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PCB defect detection system using run-length encoding
Published 2017“…The secondary objective is to design run-length encoding algorithm able to detect and classify the defect of printed circuit board (PCB). …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…Here, feature construction methods are applied in order to improve the descriptive accuracy of the DARA algorithm.This research proposes novel feature construction methods, called Variable Length Feature Construction without Substitution (VLFCWOS) and Variable Length Feature Construction with Substitution(VLFCWS), in order to construct a set of relevant features in learning relational data. …”
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Research Report -
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Optimized feature construction methods for data summarizations of relational data
Published 2014“…In this thesis, novel feature construction methods are introduced and a question of whether or not the descriptive accuracy of the summarized data can benefit from the novel feature construction methods is investigated. …”
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Construction of Cryptographically Strong S-Boxes Inspired by Bee Waggle Dance
Published 2023Article -
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Strategies for effective value management practice in construction industry
Published 2017“…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…Ensemble method is considered as a new direction in pattern classification. …”
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Risk assessment for safety and health algorithm for building construction in Oman
Published 2015“…The general objective of this study is to carry out a Risk Assessment for Safety and Health (RASH) algorithm for building construction in Oman and to develop a calculation methodology to evaluate safety and health. …”
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Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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Conference or Workshop Item -
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A variant fisher and Jaikuamr algorithm to solve capacitated vehicle routing problem
Published 2017“…Fisher and Jaikumar algorithm is a well-known cluster based method which creates clusters with a geometric method partitioning the customer plane into equal angular cones where the total cones are equal to the number of vehicles. …”
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Proceeding Paper -
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Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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Snort-based smart and swift intrusion detection system
Published 2018“…Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. …”
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