Search Results - (( developing string matching algorithm ) OR ( java application learning algorithm ))
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Application Of Exact String Matching Algorithms Towards SMILES Representation Of Chemical Structure.
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A new text-based w-distance metric to find the perfect match between words
Published 2020“…This ambiguity is faced by different distance/similarity functions causing difficulties in finding the perfect match of words. To improve the perfect-match calculation functionality in the traditional k-NN algorithm, a new similarity distance metric is developed and named as word-distance (w-distance). …”
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3
Employing longest common subsequence method to retrieve translated Al-Quran documents / Muhamad Shamsudin
Published 2001“…Dynamic programming is introduced to serve as underlying principle for solving problems in different areas such as operations research, computer science, speech processing and string processing. Longest Common Subsequence algorithm (LCS) has been developed to solve string matching problems. …”
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Image recognition using Artificial Immune systems approach
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Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad
Published 2002“…This thesis studies the method of a string-searching algorithm. The studies describe features and methods for string searching and comparison using Wagner and Fischer algorithm. …”
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A Threshold-Based Combination of String and Semantic Similarity Measures for Record Linkage
Published 2011“…For this purpose, string similarity measures are widely utilized for comparing record-pairs in different studies. …”
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…They are Cross Entropy and also Genetic Algorithm. CE is a new algorithm that was recently developed using probability. …”
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8
Web application vulnerabilities detection model
Published 2016“…The research will be carried out by using design string matching algorithm. The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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Research Reports -
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…The main goal of this study is to create an online food ordering app using the corresponding Boyer-Moore string matching algorithm. The application evaluation process is carried out by the developer's functionality test to ensure that there are no unnecessary issues in this app, especially in the main feature. …”
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11
Heartbeat disease diagnosis using text-based approaches
Published 2011“…The Longest Common Subsequence (LCS) matching algorithm was used for identifying similarities from the database. …”
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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15
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…The longest common subsequence is a well-known string matching algorithm that we have utilized to find the most similar pattern between a set of navigation patterns and current user activities for creating the recommendations.…”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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18
Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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