Search Results - (( developing implementation failure algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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7
Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System
Published 2006“…An incremental-iterative 2-D nonlinear finite element code is developed to implement the proposed algorithm and analyze the masonry system till failure. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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11
Prediction of progressive failure in woven glass/epoxy composite laminated panels.
Published 2008“…A progressive failure analysis algorithm has been developed and implemented as a user subroutine in a finite element code (ABAQUS) in order to model the non-linear material behavior and to capture the complete compressive response of woven composite plates made of glass-epoxy material. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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13
IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…This study looks at developing a behavior-based algorithm that adaptable to several different environment configurations. …”
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Final Year Project -
14
Application of artificial neural network for automatic contingency analysis in power security assessment / Ismail Musirin and Titik Khawa Abdul Rahman
Published 2006“…Data were generated using the newly developed automatic contingency analysis and ranking (ACAR) algorithm. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…The survey concluded that protocol designers must focus on the development and implementation of fire-adaptive routing protocols, incorporating optimal fault tolerance routing algorithms that adapt seamlessly to unforeseen environmental changes, including fire incidents. …”
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A Study on Gradient Boosting Algorithms for Development of AI Monitoring and Prediction Systems
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Traffic management algorithms for LEO satellite networks
Published 2016“…The performances of the proposed algorithms are then compared with the previously developed algorithms. …”
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Thesis -
18
Power system intentional islanding for different contingency scenarios using discrete optimization technique
Published 2023“…Intentional islanding is one of the remedial actions that can be implemented to prevent severe cascading failures following a critical line outage. …”
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Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam
Published 2022“…The achievement of objective 1 demonstrates that the SVM, DT, and NN classifiers have developed optimised predictive models for first failure, failure to year ratio, and failure rectification action, respectively. …”
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Thesis -
20
A fault syndromes simulator for random access memories
Published 2008“…Due to this, a systematic approach for developing and evaluating memory test algorithm is required. …”
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