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Bipin Kumar

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

148

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Deep Learning Model for Sustainable Urban Environments: Pollution Estimation and Traffic Control

Number of pages: 10 Posted: 27 Nov 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 53 (1,031,043)

Abstract:

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Deep Learning, Traffic monitoring model, Pollution estimation model, Yolov5

2.

Ccn Activation in Homogeneous Isotropic Turbulence: Response to Particle Characteristics and Environmental Conditions

Number of pages: 30 Posted: 16 Jun 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 41 (1,170,409)

Abstract:

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Turbulent cloud parcel, DNS, Supersaturation fluctuations, CCN activation

3.

Aerosol Hygroscopicity as a Key Component in Enhancing CCN Activity

Number of pages: 48 Posted: 13 Nov 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Michigan Technological University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 39 (1,209,354)

Abstract:

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Hygroscopicity, activation fraction, CCN counter, DNS

4.

Multiplicative Layer Corrector PINN for 2D Singularly Perturbed Reaction–Diffusion Problems

Number of pages: 17 Posted: 21 May 2026
South Asian University, South Asian University, South Asian University, affiliation not provided to SSRN and IIT Kanpur
Downloads 15 (1,541,665)

Abstract:

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physics-informed neural network, Singular-Layer Physics-Informed Neural Network, singular perturbation, Boundary Layers, reaction-diffusion, deep learning