Search Results - (( developing predictive scheduling algorithm ) OR ( java application sensor algorithm ))
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Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean
Published 2007“…Simulation runs demonstrate that our algorithm leads to better results than the traditional algorithms for scheduling policies used in Grid environment.…”
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A static jobs scheduling for independent jobs in Grid Environment by using Fuzzy C-Mean and Genetic algorithms
Published 2006“…We present a static job scheduling algorithm by using Fuzzy C-Mean and Genetic algorithms. …”
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Conference or Workshop Item -
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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris
Published 2017“…This research proposed an optimal downlink scheduling algorithm called Video Real-Time Scheduling Algorithm (VRTSA) to support real-time traffic of video in LTE network. …”
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Thesis -
5
Cache replacement algorithm using hierarchical allocation scheduling
Published 2014“…The core principle is to keep the relatively important instruction in cache memory from being evicted. The development of the HAS model is based on the idea of hierarchical temporal memory (HTM) developed by Numenta Inc. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
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Dynamic scheduling in a multi-product manufacturing system
Published 2005“…The dynamics of real manufacturing system are very complex in nature. Schedules developed based on deterministic algorithms are unable to effectively deal with uncertainties in demand and capacity. …”
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Monograph -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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Ride with me - Ride-sharing application with opportunistic AI
Published 2023“…It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predicting the user’s daily schedule of location visit based on the user’s Google Maps’ data and thus, matching the driver and passengers intelligently. …”
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Final Year Project / Dissertation / Thesis -
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Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals
Published 2015“…The performance of the schedules as produced by the scheduling/rescheduling algorithms were investigated and compared. …”
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…Consequently, a modified downlink scheduler based on a Packet Prediction Mechanism (PPM) is conducted at the eNodeB. …”
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Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning
Published 2019“…The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery. …”
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Final Year Project -
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Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System
Published 2009“…In this research a method of enhanced maintenance scheduling of multi-component e-Manufacturing systems has been developed. …”
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Thesis -
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A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting
Published 2023Conference Paper -
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Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management
Published 2024journal::journal article -
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Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau
Published 2003“…The developed ANN is capable to predict a unit commitment when an unseen data fed to the network using MATLAB ANN toolbox, Version 6.5.…”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph
