Search Results - (( data predictive scheduling algorithm ) OR ( java implementation learning algorithm ))
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1
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
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2
Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry
Published 2015“…Increased computational load makes servers to dissipate more power as heat and eventually amplifies the cooling load. In thermal-aware scheduling, computations are scheduled with the objective of reducing data center wide thermal gradient, hotspots and cooling magnitude. …”
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3
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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4
Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm
Published 2025“…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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5
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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6
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…The proposed algorithms provide an effective scheduling technique for smart grid applications. …”
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Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…Moreover, hydro generation prediction typically has composite structures such as non-linearity, non-stationarity, and fluctuation due to unexpected variable of input parameters, which converts its prediction to be very tough. …”
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9
Cache replacement algorithm using hierarchical allocation scheduling
Published 2014“…The existing cache replacement (i.e. least recently used (LRU)) algorithm depends on usage of the data being referenced. …”
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10
A predictive approach to improve a fault tolerance confidence level on grid resources scheduling
Published 2008“…Many methods are presented in a few years ago, but in these algorithms, some parameters such as job requirements and clear predictor method are not truly considered and also some methods apply optimistic view in grid scheduling cycle. …”
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11
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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12
Towards implementing reactive scheduling for job shop problem
Published 2006“…However, the real world scheduling problems are very seldom static. Events like machine breakdown or bottleneck in some situation impossible to predict. …”
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13
Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
Published 2024“…Empirical tests reveal the proposed heuristic method's superiority over manual practices and genetic algorithms. It not only minimizes shift idle time and aligns with optimal shift starting times but also significantly reduces workforce requirements, streamlining the shift scheduling process, irrespective of data size. …”
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14
Prediction-based resource allocation model for real time tasks
Published 2018“…In this paper, we propose a prediction-based model which analyze task feasibility before scheduling on the HPC resources when tasks have data-intensive constraints. …”
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15
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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17
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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18
Dynamic scheduling in a multi-product manufacturing system
Published 2005“…A case study, 6 by 6 job shop scheduling problem was adapted with uncertainty elements added to the data sets. …”
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Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing
Published 2023“…Simulations were conducted to evaluate the proposed algorithms compared to the PSO algorithm, Cloud-Fog Cooperation Scheduling algorithm, and Task offloading algorithm. …”
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20
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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