Search Results - (( teaching learning algorithm ) OR ( machine matching algorithm ))
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…These chatbots acquired its intelligence through a hybrid approach that combines pattern-matching technique and machine learning algorithm in order to formulate its responses. …”
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Artificial Intelligence Matching Algorithm with UTP Final Year Project Students and Advisors Matching as Test Case
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Final Year Project -
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Partial fingerprint recognition using support vector machine
Published 2010“…In this study, a novel partial fingerprint matching approach that uses global minutiae matching and the support vector machine is presented. …”
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Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
Published 2023“…This study uses a new approach based on the combination of three powerful techniques which are: tokenizing-lowercasing-stemming (for series of preprocessing), support vector machine (SVM) for supervised classification, and fuzzy matching (FM) for dimensionality reduction. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects: “…Knuth-Morris-Pratt (KMP) pattern matching algorithm…”
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Stereo matching algorithm using deep learning and edge-preserving filter for machine vision
Published 2024“…This paper proposes a hybrid method of a stereo matching algorithm with the goal of generating an accurate disparity map critical for applications such as 3D surface reconstruction and robot navigation to name a few. …”
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Web Based Supervisor Supervisee Project Matching System
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Shape matching and object recognition using dissimilarity measures with Hungarian algorithm
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Quality inspection of engraved image using based matching approach
Published 2011“…This experiment result shows that the algorithm works better with detection rate of 100% and matching accuracy of more than 98%. …”
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Destination prediction based on past movement history
Published 2020“…The system includes an algorithm that simulates incoming data from a user and matches on a window by window basis to the history. …”
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Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals
Published 2015“…The BBO-VNS match-up algorithm manipulates the idle times on machines within the time horizon for assigning the affected operations by breakdown and/or newly arrived orders. …”
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Pattern matching algorithm for artificial to natural DNA codes of a dementia brain
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Guided genetic algorithm for solving unrelated parallel machine scheduling problem with additional resources
Published 2022“…Results show that the GGA outperforms the simple genetic algorithm (SGA), but it still didn't match the results in the literature. …”
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Cloud computing load balancing technique with virtual machine migration / Rabiatul Addawiyah Mat Razali
Published 2017“…Based on the analysis, positive results of the proposed algorithm are demonstrated, which shows the load balancing process is shown to have improved based on the distribution of virtual machines onto matching-type of resources, while a more efficient migration of virtual machines can be seen based on the defined CPU usage thresholds. …”
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Automatic email classification system / Phang Siew Ting
Published 2003“…For this purpose, several Machine Learning algorithms has been purposed to automate the classification of emails. …”
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E4ML: Educational Tool for Machine Learning
Published 2003“…There are various types of machine learning algorithms with certain processes taken by the algorithm.In teaching of the machine learning algorithms, such processes need to be explained especially to the beginner in introductory level.This paper discusses the development the tool that addresses the process by certain algorithm to produce a hypothesis or output based on given data.This tool can also be used in teaching and learning purposes.The explanation of processes by the algorithms is demonstrated through simple simulation.The source of the algorithms was adapted from Mitchell book [1] that cover popular algorithms in machine learning for teaching and learning such as Concept Learning, Decision Tree, Bayesian Learning, Neural Networks, and Instance based Learning.The tool also used several classes of Weka (Waikato Environment for Knowledge Analysis) as a basis for the design and implementation of the new tool that focuses on explaining the processes taken by certain algorithm.…”
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