Search Results - (( java implementation modified algorithm ) OR ( distant learning process algorithm ))
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1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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2
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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3
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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4
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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5
Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
Published 2024“…Statistical models and machine learning algorithms automatically learn and improve based on data. …”
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6
Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm
Published 2023“…GA optimizer is used in MLNN-GA where the result of each learning weight will be the initial weight of the next learning process. …”
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7
Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy
Published 2025“…The K-nearest neighbor (KNN) algorithm facilitates the creation of edges between pixels, enabling the incorporation of distant pixels and improving resilience to noise and local irregularities. …”
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8
Speech emotion recognition using spectrogram based neural structured learning
Published 2022“…As a result, rather than processing data and making judgments from far distant data sources, the decision-making could be made closer to where the data lives. …”
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9
Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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10
Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data
Published 2020“…The observations whose anomaly scores are significantly distant from â��abnormalâ�� ones will be assumed as â��normalâ��. …”
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11
Challenges of hidden data in the unused area two within executable files
Published 2009“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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12
Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…Meanwhile, the second MAS model has been designed using two agents as follows: the first agent is a fault current agent that is to determine the fault current at all points before and after grounding; the second agent is the time operating of the agent which is used to determine the relay operating time before and after modifying fault current. The simulation results for the first and second models are done using the data obtained from Malaysia distribution network (DISCO-Net) and 69 bus test system that were implemented using Java Agent Development Framework package software. …”
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13
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…There is also a need to consider implementing this strategy for dynamic object-oriented languages such as Python, Lisp, and Smalltalk.…”
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