Search Results - (( policy implementation clustering algorithm ) OR ( java simulation optimisation algorithm ))
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Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
Published 2022“…The mammogram database's initial test segment is critical for evaluating performance and determining the Area Under the Curve (AUC) to alias with medical policy. In addition, a new image clustering algorithm anticipates the need for largescale serial and parallel processing. …”
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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach
Published 2017“…Ability to detect potential space-time clusters in spatio-temporal data on disease occurrences is necessary for conducting surveillance and implementing disease prevention policies. …”
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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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Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak
Published 2018“…Orange is a tool that being used in implementing K-Means Clustering Algorithm that could be seen as the most suitable solution to find a network trend pattern of user accessing the Internet and to produce with profiling network. …”
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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad
Published 2019“…This implementation increases the level of synchronization of CMs with a cluster head, thereby increasing cluster stability. …”
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Using ideal time horizon for energy cost determination
Published 2021“…However, T is dependent on the proper knowledge of the required time for servers to switch from their initial SLEEP/ACTIVE state to the next desired state. The activities implemented by this policy are (a) to relocate the VM from an encumbered server, a server that operates in an undesirably high regime with applications forecasted to rise their burdens to compute in the subsequent reallocation cycles; (b) to conduct VM migration from servers that operate within the undesirable regime to shift the server to a SLEEP mode; (c) putting an idle server to SLEEP mode and rebooting the servers from the SLEEP mode at high cluster loads. …”
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Two-stage Heuristic for Primary School Timetabling Problem with Combined Classes Consideration
Published 2020“…According to the new policy announced on 12th Dec 2017by the Ministry of Education (MoE) Malaysia, due to the shortage of teachers, combined-classes should be implemented in lowenrolment schools with fewer than 30 students. …”
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A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks
Published 2022“…The cognitive base station implements the Combined Quality of Service Score (CoQS) to rank the available channels. …”
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