Search Results - (( java implication drops algorithm ) OR ( policy implementation _ algorithm ))
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Conceptual framework for lightweight ciphertext policy-attribute based encryption scheme for internet of things devices / Norhidayah Muhammad and Jasni Mohamad Zain
Published 2019“…Therefore we propose a lightweight Ciphertext Policy-Attribute Based Encryption (CP-ABE) algorithm to implement in IoT devices. …”
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2
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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3
Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems
Published 2025“…The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
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4
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia
Published 2023“…algorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysia…”
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…The plugin can be 'installed' on any other web application with minimum efforts. The algorithm can be implemented as part of Web Server layer, not as part of the business logic layer. …”
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6
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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7
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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8
A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…The results indicate that, by implementing the UBACO, the weighted comprehensive complexity is reduced by 40.5% as compared to the UCON based policy proposed by Martinelli and Mori (2010). …”
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9
Smart grid: Bio-inspired algorithms energy distributions for data centers
Published 2025“…Four different workload scenarios were tested, and the performance of the three algorithms was compared against the data centre’s baseline VM allocation policy. …”
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10
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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11
Investigation and modelling of building energy management system for sustainable energy usage
Published 2024text::Final Year Project -
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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 proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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13
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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Just Queuing: Policy-Based Scheduling Mechanism for Packet Switching Networks
Published 2011“…In terms of the complexity property, genetic algorithm has an advantage in holding the fitness score of the queue in separate storage space which potentially minimises the complexity of the algorithm. …”
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15
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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16
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Four conventional classification algorithms: naïve bayes (NB), support vector machines (SVM), nearest neighbor (k-NN), and decision trees (J48) classifiers are implemented in identifying and categorizing tweet data of three political figures in Malaysia: Dato Seri Anwar, Dato Hadi Awang, and Lim Guang Eng, as either positive, negative, or neutral perceptions. …”
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17
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…In this type of environment it is nearly impossible to prove the effectiveness of a scheduling algorithm. Hence the main objective of this study is to develop a desktop grid simulator toolkit for measuring and modeling scheduler algorithm performance. …”
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Final Year Project -
18
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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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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20
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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