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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Mishra, Pallavi / Srivastav, Adarsh / Kumar, Pramod / Sahu, Subrat Kumar: Comprehensive review of seismic performance assessment for skew-reinforced concrete box-girder bridges. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-023-00979-6

  2. Pratap, Bheem / Kumar, Pramod: Effect of the elevated temperature on the mechanical properties of geopolymer concrete using fly ash and ground granulated blast slag. In: Journal of Structural Fire Engineering.

    https://doi.org/10.1108/jsfe-06-2023-0028

  3. Pratap, Bheem / Kumar, Pramod / Shubham, Kumar / Chaudhary, Neeraj (2023): Soft computing-based investigation of mechanical properties of concrete using ready-mix concrete waste water as partial replacement of mixing portable water. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).

    https://doi.org/10.1007/s42107-023-00841-9

  4. Madhuri, Seeram / Kumar, Pramod (2023): Response of asymmetric reinforced concrete buildings under directional seismic loads. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).

    https://doi.org/10.1007/s42107-023-00867-z

  5. Kumar, Pramod / Pratap, Bheem / Sharma, Sanjay / Kumar, Indra (2023): Compressive strength prediction of fly ash and blast furnace slag-based geopolymer concrete using convolutional neural network. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).

    https://doi.org/10.1007/s42107-023-00861-5

  6. Gogineni, Abhilash / Panday, Indra Kumar / Kumar, Pramod / Paswan, Rajesh Kr. (2023): Predictive modelling of concrete compressive strength incorporating GGBS and alkali using a machine-learning approach. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).

    https://doi.org/10.1007/s42107-023-00805-z

  7. Kumar, Pramod / Pratap, Bheem (2023): Feature engineering for predicting compressive strength of high-strength concrete with machine learning models. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).

    https://doi.org/10.1007/s42107-023-00807-x

  8. Gogineni, Abhilash / Panday, Indra Kumar / Kumar, Pramod / Paswan, Rajesh Kr. (2023): Predicting compressive strength of concrete with fly ash and admixture using XGBoost: a comparative study of machine learning algorithms. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).

    https://doi.org/10.1007/s42107-023-00804-0

  9. Kumar, Pramod / Samui, Pijush (2022): Design of an Energy Pile Based on CPT Data Using Soft Computing Techniques. In: Infrastructures, v. 7, n. 12 (Dezember 2022).

    https://doi.org/10.3390/infrastructures7120169

  10. Siddiqui, Asfa / Kushwaha, Gautami / Nikam, Bhaskar / Srivastav, S. K. / Shelar, Ankita / Kumar, Pramod (2021): Analysing the day/night seasonal and annual changes and trends in land surface temperature and surface urban heat island intensity (SUHII) for Indian cities. In: Sustainable Cities and Society, v. 75 (Dezember 2021).

    https://doi.org/10.1016/j.scs.2021.103374

  11. Yadav, Dharmender / Anand, Raja Sonal / Pruthi, Vikas / Kumar, Pramod (2017): Enhanced Biological Phosphorus Removal Using Dried Powdered Sludge in an Aerobic Baffled Reactor. In: Journal of Environmental Engineering (ASCE), v. 143, n. 5 (Mai 2017).

    https://doi.org/10.1061/(asce)ee.1943-7870.0001189

  12. Kumar, Pramod / Feiz, Amir-Ali (2016): Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations. In: Building and Environment, v. 108 (November 2016).

    https://doi.org/10.1016/j.buildenv.2016.08.013

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