Search Results - (( developing small machine 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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Citation Index Journal -
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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Thesis -
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…This research introduces a new approach to enhancing cybersecurity by integrating Support Vector Machine (SVM) algorithms with penetration testing to develop a recommendation system focused on Cross-Site Scripting (XSS) attack detection. …”
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A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification
Published 2024Conference Paper -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Results of studying color segmentation using machine-learning algorithm and color space analysis is presented in this thesis. …”
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Thesis -
11
A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…We will develop the proposed OCGA to solve the problem of minimising the total (weighted) completion time as future work. …”
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Conference or Workshop Item -
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Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach
Published 2012“…This paper presents a bottleneck-based methodology to solve scheduling problem of M1,M2,M3,M4,M3,M4 re-entrant flow shop where M1 and M4 have high tendency of being the dominant machines. Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat
Published 2021“…The benefit of this work indicated that the implementation of a feature selection technique plays an important role in machine learning algorithms to increase the performance of detection.…”
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Thesis -
14
Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…The research methodology involves problem modeling, algorithm development, and validation. The TSP concept formulated the MDMT problem, representing holes as cities and tools as a salesman in finding the shortest path to develop a mathematical model or fitness function. …”
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Thesis -
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A New Cell Formation Method Considering Operation Sequences And Production Volumes
Published 2013“…The graph theory was employed to develop the algorithm. It consists of four stages that the first one shows the sequences of machines that are used by each part in a graph. …”
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Thesis -
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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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Thesis -
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Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm
Published 2009“…While the scheduling of AGVs and machines are highly related; simultaneous scheduling of machines and AGVs has been proposed in the literature. …”
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Thesis -
18
Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…Since the CNS is often inaccessible to many complex procedures and performing in-vitro permeability studies for thousands of compounds can be laborious, attempts were made to predict the permeation of compounds through BBB by implementing the Machine Learning (ML) approach. In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. …”
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Published 2023text::Thesis -
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