Suchergebnisse - theory of computation: models of computation: time and hybrid models

  1. 1

    A survey of decision making methods based on two classes of hybrid soft set models von Ma, Xueling, Zhan, Jianming, Ali, Muhammad Irfan, Mehmood, Nayyar

    ISSN: 0269-2821, 1573-7462
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2018
    Veröffentlicht in The Artificial intelligence review (01.04.2018)
    “… To the best of our knowledge, the tool of soft set theory is a new efficacious technique to dispose uncertainties and it focuses on the parameterization, while fuzzy set theory emphasizes the truth …”
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    Journal Article
  2. 2

    A Hybrid Parallel Processing Strategy for Large-Scale DEA Computation von Chang, Shengqing, Ding, Jingjing, Feng, Chenpeng, Wang, Ruifeng

    ISSN: 0927-7099, 1572-9974
    Veröffentlicht: New York Springer US 01.06.2024
    Veröffentlicht in Computational economics (01.06.2024)
    “… So far, various strategies have been proposed in academia to accelerate the DEA computation, including DEA algorithms such as hierarchical decomposition (HD …”
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    Journal Article
  3. 3

    A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction von Li, Xiaohan, Willems, Patrick

    ISSN: 0043-1397, 1944-7973
    Veröffentlicht: Washington John Wiley & Sons, Inc 01.06.2020
    Veröffentlicht in Water resources research (01.06.2020)
    “… ‐time urban flood nowcasting. Aiming at meeting the needs of fast and probabilistic flood modeling, a new hybrid modeling method integrating a suite of lumped hydrological models and logistic regression is proposed …”
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  4. 4

    Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales von Efat, Md. Iftekharul Alam, Hajek, Petr, Abedin, Mohammad Zoynul, Azad, Rahat Uddin, Jaber, Md. Al, Aditya, Shuvra, Hassan, Mohammad Kabir

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer US 01.08.2024
    Veröffentlicht in Annals of operations research (01.08.2024)
    “… The proposed hybrid model is equipped with a feature-extraction component that automatically detects the patterns and trends in time-series, which makes …”
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    Journal Article
  5. 5

    High-dimensional Feature Selection for Power System Congestion Event Prognosis with Enhanced Evolutionary Computation von Xu, J., Jiang, X. X., Liao, S. Y., Ke, D. P., Sun, Y. Z., Yao, L. Z.

    ISSN: 0885-8950, 1558-0679
    Veröffentlicht: New York IEEE 01.01.2024
    Veröffentlicht in IEEE transactions on power systems (01.01.2024)
    “… Power system congestion event prognosis (CEP) based on multivariate time series (MTS) learning is an effective way to improve the warning abilities against risky situations …”
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  6. 6

    Development of a 3D Hybrid Finite-Discrete Element Simulator Based on GPGPU-Parallelized Computation for Modelling Rock Fracturing Under Quasi-Static and Dynamic Loading Conditions von Fukuda, Daisuke, Mohammadnejad, Mojtaba, Liu, Hongyuan, Zhang, Qianbing, Zhao, Jian, Dehkhoda, Sevda, Chan, Andrew, Kodama, Jun-ichi, Fujii, Yoshiaki

    ISSN: 0723-2632, 1434-453X
    Veröffentlicht: Vienna Springer Vienna 01.03.2020
    Veröffentlicht in Rock mechanics and rock engineering (01.03.2020)
    “… ) code. The theory and algorithm of the GPGPU-parallelized 3D Y-HFDEM IDE code are first introduced by focusing on the implementation of the contact detection algorithm, which is different from that in …”
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    Journal Article
  7. 7

    Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming von Chen, Tzu-Li, Cheng, Chen-Yang, Chou, Yi-Han

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer US 01.07.2020
    Veröffentlicht in Annals of operations research (01.07.2020)
    “… Hybrid flow shop scheduling problems are encountered in many real-world manufacturing operations such as computer assembly, TFT-LCD module assembly, and solar cell manufacturing …”
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    Journal Article
  8. 8

    Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach von Sitek, Pawel, Wikarek, Jarosław

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer US 01.02.2019
    Veröffentlicht in Annals of operations research (01.02.2019)
    “… The paper presents an optimization model and its implementation using a hybrid approach for the Capacitated Vehicle Routing Problem with Pick-up and Alternative Delivery (CVRPPAD …”
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    Journal Article
  9. 9

    Solvent Boundary Potentials for Hybrid QM/MM Computations Using Classical Drude Oscillators: A Fully Polarizable Model von Boulanger, Eliot, Thiel, Walter

    ISSN: 1549-9618
    Veröffentlicht: United States 13.11.2012
    Veröffentlicht in Journal of chemical theory and computation (13.11.2012)
    “… (DO) model for the electronic polarizability of the MM atoms with the generalized solvent boundary Potential (GSBP …”
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    Journal Article
  10. 10

    Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach von Khaleel, Mustafa Ibrahim

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.12.2024
    Veröffentlicht in Swarm and evolutionary computation (01.12.2024)
    “… This paper tackles the challenges of computation offloading in the cloud–edge paradigm. Although many solutions exist for enhancing …”
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  11. 11

    H2Pregel : A partition-based hybrid hierarchical graph computation approach von Liu, Qiang, Dong, XiaoShe, Chen, Heng, Zhang, Xingjun

    ISSN: 0167-739X, 1872-7115
    Veröffentlicht: Elsevier B.V 01.03.2020
    Veröffentlicht in Future generation computer systems (01.03.2020)
    “… A partition-based hybrid hierarchical graph computation approach, called H2Pregel is proposed to address the redundant supersteps and inefficient computation problems due to low access locality …”
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  12. 12

    A ship motion forecasting approach based on empirical mode decomposition method hybrid deep learning network and quantum butterfly optimization algorithm von Li, Ming-Wei, Xu, Dong-Yang, Geng, Jing, Hong, Wei-Chiang

    ISSN: 0924-090X, 1573-269X
    Veröffentlicht: Dordrecht Springer Netherlands 01.02.2022
    Veröffentlicht in Nonlinear dynamics (01.02.2022)
    “… ) hybrid forecasting model of SHM is constructed by integrating a component forecasting model …”
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  13. 13

    Splitwise: Efficient Generative LLM Inference Using Phase Splitting von Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

    Veröffentlicht: IEEE 29.06.2024
    “… Generative large language model (LLM) applications are growing rapidly, leading to large-scale deployments of expensive and power-hungry GPUs …”
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    Tagungsbericht
  14. 14

    Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach von Das, Soumen Kumar, Pervin, Magfura, Roy, Sankar Kumar, Weber, Gerhard Wilhelm

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer US 01.05.2023
    Veröffentlicht in Annals of operations research (01.05.2023)
    “… The most important strategic issue for several industries is where to find facilities so as to discover a transportation path for optimizing the objectives at the same time …”
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  15. 15

    An ARIMA-ANN Hybrid Model for Time Series Forecasting von Wang, Li, Zou, Haofei, Su, Jia, Li, Ling, Chaudhry, Sohail

    ISSN: 1092-7026, 1099-1743
    Veröffentlicht: Chichester Blackwell Publishing Ltd 01.05.2013
    Veröffentlicht in Systems research and behavioral science (01.05.2013)
    “… Autoregressive integrated moving average (ARIMA) model has been successfully applied as a popular linear model for economic time series forecasting …”
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  16. 16

    Lyapunov exponents computation for hybrid neurons von Bizzarri, Federico, Brambilla, Angelo, Storti Gajani, Giancarlo

    ISSN: 0929-5313, 1573-6873, 1573-6873
    Veröffentlicht: Boston Springer US 01.10.2013
    Veröffentlicht in Journal of computational neuroscience (01.10.2013)
    “… The computation of Lyapunov exponents for continuous time dynamical systems is straightforward whenever they are ruled by vector fields that are sufficiently smooth to admit a variational model …”
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  17. 17

    Energy-efficient computation offloading using hybrid GA with PSO in internet of robotic things environment von El Menbawy, Noha, Ali, Hesham A., Saraya, Mohamed S., Ali-Eldin, Amr M. T., Abdelsalam, Mohamed M.

    ISSN: 0920-8542, 1573-0484
    Veröffentlicht: New York Springer US 01.11.2023
    Veröffentlicht in The Journal of supercomputing (01.11.2023)
    “… ) based on smart connectivity. It's critical to have intelligent connectivity and excellent communication for IoRT integration with digital platforms in order to maintain real-time engagement based on efficient consumer power …”
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  18. 18

    An efficient hybrid numerical approach for solving two-dimensional fractional cable model involving time-fractional operator of distributed order with error analysis von Kosari, Saeed, Xu, Peng, Shafi, Jana, Derakhshan, MohammadHossein

    ISSN: 1017-1398, 1572-9265
    Veröffentlicht: New York Springer US 01.07.2025
    Veröffentlicht in Numerical algorithms (01.07.2025)
    “… In this article, we study and examine an efficient numerical approach to obtain approximate solutions of the two-dimensional fractional cable model involving the time-fractional operator of distributed order …”
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  19. 19

    Application of Asymptotic Waveform Evaluation to Hybrid FE-BI-MLFMA for Fast RCS Computation Over a Frequency Band von Wu, Bi-Yi, Sheng, Xin-Qing

    ISSN: 0018-926X, 1558-2221
    Veröffentlicht: New York, NY IEEE 01.05.2013
    Veröffentlicht in IEEE transactions on antennas and propagation (01.05.2013)
    “… ), the finite element method (FEM), and the hybrid finite element-boundary integral method (FE-BI) for fast computation over a wide frequency band …”
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    A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training von Li, Shengwei, Lu, Kai, Lai, Zhiquan, Liu, Weijie, Ge, Keshi, Li, Dongsheng

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.08.2024
    “… The transformer-based deep neural network (DNN) models have shown considerable success across diverse tasks, prompting widespread adoption of distributed training methods such as data parallelism and pipeline parallelism …”
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