Suchergebnisse - (guiding OR building) data controls and computational algorithms

  1. 1

    An adaptive multi-team perturbation-guiding Jaya algorithm for optimization and its applications von Rao, R. Venkata, Keesari, Hameer Singh, Oclon, P., Taler, Jan

    ISSN: 0177-0667, 1435-5663
    Veröffentlicht: London Springer London 01.01.2020
    Veröffentlicht in Engineering with computers (01.01.2020)
    “… This study proposes an adaptive multi-team perturbation-guiding Jaya (AMTPG-Jaya) algorithm which uses multiple teams to explore the search space …”
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  2. 2

    Computational form-finding of single-layer spatial structures: Constructing force diagrams with Vector-based Graphic Statics and guiding trails von Shen, Yuchi, Jasienski, Jean-Philippe, Ohlbrock, Patrick Ole, D'Acunto, Pierluigi

    ISSN: 0926-5805
    Veröffentlicht: Elsevier B.V 01.10.2024
    Veröffentlicht in Automation in construction (01.10.2024)
    “… Key advancements include an algorithm for identifying guiding trails within the form diagram's underlying graph to control its planarization, an augmented half-edge (AHE …”
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  3. 3

    Herding by caging: a formation-based motion planning framework for guiding mobile agents von Song, Haoran, Varava, Anastasiia, Kravchenko, Oleksandr, Kragic, Danica, Wang, Michael Yu, Pokorny, Florian T., Hang, Kaiyu

    ISSN: 0929-5593, 1573-7527, 1573-7527
    Veröffentlicht: New York Springer US 01.06.2021
    Veröffentlicht in Autonomous robots (01.06.2021)
    “… This enables the herders to partially control the motion of the sheep. We formalize this behavior topologically by applying the notion of caging , a concept used in robotic manipulation …”
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  4. 4

    A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm von Bai, Guangtong, Bao, Chunjiang, Wu, Jian, Wu, Dexi, Zhang, Junda, He, Xiangkun

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2020
    Veröffentlicht in IEEE access (2020)
    “… This paper proposes a robust steering control method of human-machine steering torque superposition based on linear matrix inequality (LMI) algorithm …”
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  5. 5

    Spacetime evolutive equilibrium in Nonlinear Continuum Mechanics von Romano, Giovanni, Barretta, Raffaele, Diaco, Marina

    ISSN: 0935-1175, 1432-0959
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2023
    Veröffentlicht in Continuum mechanics and thermodynamics (01.09.2023)
    “… In Continuum Mechanics a widely cited formula, due to Nanson (Mess Math 7:182–185, 1878), contributes the relation between the product of area and unit normal …”
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  6. 6

    A High Order Semi-Lagrangian Discontinuous Galerkin Method for the Two-Dimensional Incompressible Euler Equations and the Guiding Center Vlasov Model Without Operator Splitting von Cai, Xiaofeng, Guo, Wei, Qiu, Jing-Mei

    ISSN: 0885-7474, 1573-7691
    Veröffentlicht: New York Springer US 01.05.2019
    Veröffentlicht in Journal of scientific computing (01.05.2019)
    “… ) to the 2D time dependent incompressible Euler equations in the vorticity-stream function formulation and the guiding center Vlasov model …”
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  7. 7

    Optimal algorithms for controlling infectious diseases in real time using noisy infection data von Beregi, Sandor, Parag, Kris V.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Veröffentlicht: United States Public Library of Science 01.09.2025
    Veröffentlicht in PLoS computational biology (01.09.2025)
    “… Reporting delays and infection under-ascertainment, which characterise practical surveillance data, can misinform decision-making, prompting mistimed NPIs that fail to control spread or permitting …”
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  8. 8

    Guiding Lunar Landers: Harnessing Neural Networks for Dynamic Flight Control with Adaptive Inertia and Mass Characteristics von Ortega, Angel Guillermo, Enriquez-Fernandez, Andres, Gonzalez, Cristina, Flores-Abad, Angel, Choudhuri, Ahsan, Shirin, Afroza

    ISSN: 2226-4310, 2226-4310
    Veröffentlicht: Basel MDPI AG 01.05.2024
    Veröffentlicht in Aerospace (01.05.2024)
    “… The autonomous control of landing procedures can provide the efficiency and precision that are vital for the successful, safe completion of space operations missions …”
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  9. 9

    Perspective on Theoretical Modeling of Soft Molecular Machines and Devices: A Fusion of Data‐Driven Approaches with Traditional Computational Chemistry Algorithms von Zazza, Costantino, Sanna, Nico, Borocci, Stefano, Grandinetti, Felice

    ISSN: 2191-1363, 2191-1363
    Veröffentlicht: Germany John Wiley & Sons, Inc 01.11.2025
    Veröffentlicht in ChemistryOpen (Weinheim) (01.11.2025)
    “… These intricate systems, inspired by biological machines, require precise control over atomic and electronic interactions to achieve desired functionalities …”
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  10. 10

    A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems von Cao, Leilei, Goodman, Erik D., Xu, Lihong

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Veröffentlicht: Cairo, Egypt Hindawi Limiteds 01.01.2016
    Veröffentlicht in Computational Intelligence and Neuroscience (01.01.2016)
    “… A Guiding Evolutionary Algorithm (GEA) with greedy strategy for global optimization problems is proposed …”
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  11. 11

    An application status review of computational intelligence algorithm in GSHP field von Zhou, Shiyu, Liu, Dawei, Cao, Shubo, Liu, Xiaoping, Zhou, Yucheng

    ISSN: 0378-7788, 1872-6178
    Veröffentlicht: Lausanne Elsevier B.V 15.11.2019
    Veröffentlicht in Energy and buildings (15.11.2019)
    “… •Applications of computational intelligence algorithms in GSHP field are reviewed …”
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  12. 12

    A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality von Li, Lu, Zhang, Yumiao, Fung, Jimmy C.H., Qu, Huamin, Lau, Alexis K.H.

    ISSN: 0360-1323, 1873-684X
    Veröffentlicht: Oxford Elsevier Ltd 01.01.2022
    Veröffentlicht in Building and environment (01.01.2022)
    “… In the modern era, people spend approximately 90% of their time in indoor settings, such as offices and residential buildings …”
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  13. 13

    Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology von Huss, Ralf, Raffler, Johannes, Märkl, Bruno

    ISSN: 2573-8348, 2573-8348
    Veröffentlicht: United States John Wiley & Sons, Inc 01.07.2023
    Veröffentlicht in Cancer reports (01.07.2023)
    “… Background The currently available immunotherapies already changed the strategy how many cancers are treated from first to last line. Understanding even the …”
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  14. 14

    Model-Based Reinforcement Learning With Probabilistic Ensemble Terminal Critics for Data-Efficient Control Applications von Park, Jonghyeok, Jeon, Soo, Han, Soohee

    ISSN: 0278-0046, 1557-9948
    Veröffentlicht: New York IEEE 01.08.2024
    Veröffentlicht in IEEE transactions on industrial electronics (1982) (01.08.2024)
    “… This article proposes a data-efficient model-based reinforcement learning (RL) algorithm empowered by reliable future reward estimates achieved through a confidence-based probabilistic ensemble terminal critics (PETC …”
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  15. 15

    A study on the transferability of computational models of building electricity load patterns across climatic zones von Ward, Rebecca, Wong, Cheryl Sze Yin, Chong, Adrian, Choudhary, Ruchi, Ramasamy, Savitha

    ISSN: 0378-7788, 1872-6178
    Veröffentlicht: Lausanne Elsevier B.V 15.04.2021
    Veröffentlicht in Energy and buildings (15.04.2021)
    “… •The Functional Data Analysis model gives insight into the data structure. Significant reduction in energy demand from non-domestic buildings is required if greenhouse emission reduction targets are to be met worldwide …”
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  16. 16

    Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey von Zhang, Huiliang, Seal, Sayani, Wu, Di, Bouffard, Francois, Boulet, Benoit

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2022
    Veröffentlicht in IEEE access (2022)
    “… Recently, with the growing accessibility to building control and automation data, data-driven solutions such as data-driven MPC and reinforcement learning (RL …”
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  17. 17

    Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system von Schreiber, Thomas, Netsch, Christoph, Baranski, Marc, Müller, Dirk

    ISSN: 0378-7788, 1872-6178
    Veröffentlicht: Lausanne Elsevier B.V 15.05.2021
    Veröffentlicht in Energy and buildings (15.05.2021)
    “… •Combining offline training and a guiding RBC leads to slower but stable training. With increasing complexity of building energy systems and rising shares of renewable …”
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  18. 18

    CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data von Hauchamps, Philippe, Bayat, Babak, Delandre, Simon, Hamrouni, Mehdi, Toussaint, Marie, Temmerman, Stephane, Lin, Dan, Gatto, Laurent

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 20.02.2024
    Veröffentlicht in BMC bioinformatics (20.02.2024)
    “… iterative 2D gating) with automated data analysis pipelines. A crucial part of these pipelines consists of pre-processing and applying quality control filtering to the raw data, in order to use high quality events in the downstream analyses …”
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  19. 19

    A Personalized Computational Model for Human-Like Automated Decision-Making von Jiang, Longsheng, Wang, Yue

    ISSN: 1545-5955, 1558-3783
    Veröffentlicht: New York IEEE 01.04.2022
    “… We propose a computational model for enabling robots to automatically make decisions under risk in a human-like way …”
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    Nonlinear evolutionary swarm intelligence of grasshopper optimization algorithm and gray wolf optimization for weight adjustment of neural network von Moayedi, Hossein, Nguyen, Hoang, Kok Foong, Loke

    ISSN: 0177-0667, 1435-5663
    Veröffentlicht: London Springer London 01.04.2021
    Veröffentlicht in Engineering with computers (01.04.2021)
    “… The advent of new data-mining techniques and, more recently, swarm-based optimization algorithms have antiquated traditional models in the field of energy performance analysis …”
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