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Showing 1 - 12 results of 12 for search '(( element rd algorithm ) OR ((( waste processing algorithm ) OR ( neural scheduling algorithm ))))', query time: 0.10s Refine Results
  1. 1
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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  2. 2
    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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  3. 3
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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    masterThesis
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  4. 4
    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. …”
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  5. 5
    A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006)

    A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) by Bey, Hisham Mardam

    Published 2006
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  6. 6
    Prediction of EV Charging Behavior Using Machine Learning

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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  7. 7
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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    doctoralThesis
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  8. 8
    Investigation of Forming a Framework to shortlist contractors in the tendering phase

    Investigation of Forming a Framework to shortlist contractors in the tendering phase by DABASH, MOHANNAD SALAH

    Published 2022
    “…The model to shortlist contractors in the tendering phase was created using machine learning to enable more contractors to submit for a project without having to waste time and money on the tendering process; if they are compatible with the project, then they have a high chance of getting it by being short-listed for the project, which they can then submit their tender package for; this will also ensure that the best company gets the job for the client which will act as a great step towards improving the tendering in construction projects. …”
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  9. 9
    Multi-Objective Task Allocation Via Multi-Agent Coalition Formation

    Multi-Objective Task Allocation Via Multi-Agent Coalition Formation by Amer, Noha Tarek

    Published 2012
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  10. 10
    Machine Learning-Based Approach for EV Charging Behavior

    Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

    Published 2021
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  11. 11
    Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing

    Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing by Zabin, Asem Ahmad

    Published 2015
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  12. 12
    Deep and transfer learning for building occupancy detection: A review and comparative analysis

    Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

    Published 2022
    “…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”
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