Search Results - (( policy implementation from algorithm ) OR ( java segmentation method algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…The hybrid of SD-GA through phase optimization process is capable to recommend policies that are plausible to be implemented to avoid unwarranted shock to the industry. …”
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…In this paper, we propose an approach to help site administers to overcome these limitations in order to utilize the full benefits of CSP mechanism which leads to more immune sites from XSS. The algorithm is implemented as a plugin. …”
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Cache replacement algorithm using hierarchical allocation scheduling
Published 2014“…This only contributes to the simulated behaviour of the model regardless to its actual implementation in the cache replacement policy.…”
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A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…In addition, two different optimization algorithms, namely crow search algorithm and master–slave algorithm, have been introduced to generate an optimal rule for water release policy. …”
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A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The results obtained from the resulting rollout policy with CPLEX execution during rollout are also presented to validate the reduced model and the matheuristic algorithm. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…Findings reveal several search strategies implemented to improve the algorithm’s performance. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…Findings reveal several search strategies implemented to improve the algorithm’s performance. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Sentiment Analysis is a field that deals with the problem of identifying and extracting sentiment (or opinion) from data (particularly textual data). Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. …”
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Efficient cache replacement policy for minimizing error rate in L2-STT-MRAM caches
Published 2018“…The performance analysis of the proposed algorithm ensures its effectiveness in reducing the WER and cost overheads as compared to the conventional LRU technique implemented on SRAM cells.…”
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Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems
Published 2009“…The results indicated that for all demand ranges, proposed ACO algorithm showed better performance than SA algorithm. …”
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Ant colony optimization for solving solid waste collection scheduling problems
Published 2009“…The results indicated that for all demand ranges, proposed ACO algorithm showed better performance than SA algorithm. …”
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Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…The interface selection algorithm was based on NEMO implementation structure using a technique of mutihoming which was extended to MIPv6 concepts The outcome of this research work are: a designed policy protocol for policy messages communication between the Mobile Router and the Home Agent, the framework is simulated using Network Simulator (NS2) with an extension of mobiwan, the result shows the end to end delay, average end to end delay, overhead, optimal routing path, average inter-packet latency and throughput of the developed system. …”
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Highest response ratio next (HRRN) vs first come first served (FCFS) scheduling algorithm in grid environment
Published 2011“…From the simulation result proof HRRN has better performance of total waiting time due to the priority scheme policy implementation in scheduler.…”
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Network instrusion prevention system ( NIPS) based on network intrusion detection system (NIDS) and ID3 algorithm decision tree classifier
Published 2011“…Network security has gained significant attention in research and industrial communities.Due to the increasing threat of the network intrusion,firewalls have become important elements of the security policy.Firewall performance highly depends toward number of rules,because the large more rules the consequence makes downhill performance progressively.Firewall can be allow or deny access network packets incoming and outgoing into Local Area Network(LAN),but firewall can not detect intrusion.To distinguishing an intrusion network packet or normal is very difficult and takes a lot of time.An analyst must review all the network traffics previously.In this study,a new way to make the rules that can determine network packet is intrusion or normal automatically.These rules implemented into firewall as prevention,which if there is a network packet that match these rules then network packet will be dropped.This is called Network Intrusion Prevention System(NIPS).These rules are generated based on Network Intrusion Detection System(NIDS)and Iterative Dichotomiser 3 (ID3)Algorithm Decision Tree Classifier,which as data training is intrusion network packet and normal network packets from previous network traffics.The experiment is successful,which can generate the rules then implemented into a firewall and drop the intrusion network packet automatically.Moreover,this way can minimize number of rules in firewall.…”
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RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
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Development of hierarchical analytical scheduling (HAS) - a conceptual framework.
Published 2012“…This includes efforts in improving the performance of data fetching from memory. Current prefetching algorithms depend on usage, such that items, which are not frequently used, will be removed. …”
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