Search Results - (( data predictive scheduling algorithm ) OR ( java segmentation using algorithm ))

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  1. 1

    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry by Chaudhry, Muhammad Tayyab

    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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    Thesis
  2. 2

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    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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    Article
  3. 3

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by 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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    Thesis
  4. 4

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…The proposed algorithms provide an effective scheduling technique for smart grid applications. …”
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    Thesis
  5. 5

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
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    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    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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    Thesis
  8. 8

    Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

    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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    Thesis
  9. 9

    A predictive approach to improve a fault tolerance confidence level on grid resources scheduling by Bouyer, Asgarali, Md. Sap, Mohd. Noor

    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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    Article
  10. 10

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Book
  11. 11

    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by 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
  12. 12

    Towards implementing reactive scheduling for job shop problem by Zakaria, Zalmiyah, Deris, Safaai

    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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    Conference or Workshop Item
  13. 13

    Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew by Kong Weng, Lee

    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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    Thesis
  14. 14

    Prediction-based resource allocation model for real time tasks by Qureshi, Muhammad Shuaib, Qureshi, Muhammad Bilal, Raza, Ali, Ul Qayyum, Noor, Shah, Asadullah

    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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    Proceeding Paper
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    Dynamic scheduling in a multi-product manufacturing system by Hassan, Adnan, Mohd. Shaharoun, Awaluddin, Oktaviandri, Muchamad

    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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    Monograph
  17. 17

    Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing by Saif, Faten Ameen Mohammed

    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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    Thesis
  18. 18

    Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

    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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    Article
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    Analyzing UiTMCTKKT vehicle utilization and travel pattern using predictive analytics by Syed Mohamad, Sharifah Masyitah

    Published 2025
    “…The findings confirm that predictive analytics can significantly enhance vehicle management efficiency by supporting data-driven decision-making and resource planning. …”
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    Student Project