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Poonam Bhartiya

Biographic Data

ID10129286
NAMEPoonam Bhartiya
GIVEN NAMESPoonam
FAMILY NAMEBhartiya
SIGNATUREBHARTIYA P
AFFILIATIONSAmicable Knowledge Solution University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Rahul Sankrityayan on Peasant Issues

    Open Access•Poonam Bhartiya•ARTICLE•Integrated Journal for Research…•2024

    An important contribution to the realm of Indian literature and its historical evolution has been made by Rahul Sankrityayan. Specifically, his immense contributions to Buddhism turned out to be a turning point in the growth of Buddhism in contemporary India. Rahul was a man who wrote on multidimensional topics in which philosophy, politics, history, social and cultural issues were important. He was also a great wanderer and the main purpose of h…

  • A Machine Learning Approach for Predictive Analysis of Traffic Flow

    Open Access•Poonam Bhartiya, Mukta Bhatele et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Traffic congestion is a critical issue affecting urban areas globally, leading to significant economic and social costs. Predictive traffic flow analysis has emerged as a promising solution to mitigate congestion and enhance transportation efficiency. This paper proposes a machine learning approach for predictive analysis of traffic flow, leveraging the wealth of available data from various sources such as traffic sensors, GPS devices, and traffi…

  • The Role of Deep Learning in Exploring Traffic Prediction Techniques

    Open Access•Poonam Bhartiya, Mukta Bhatele et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    This research paper delves into the pivotal role of deep learning in advancing traffic prediction techniques. With urban traffic management becoming increasingly intricate, accurate short-term traffic prediction remains a cornerstone for effective congestion mitigation and transportation planning. Leveraging the capabilities of deep learning methodologies, this study systematically explores various deep learning models and their applications in p…

No prominent works on this page.

  • Rahul Sankrityayan on Peasant Issues

    Open Access•Poonam Bhartiya•ARTICLE•Integrated Journal for Research…•2024

    An important contribution to the realm of Indian literature and its historical evolution has been made by Rahul Sankrityayan. Specifically, his immense contributions to Buddhism turned out to be a turning point in the growth of Buddhism in contemporary India. Rahul was a man who wrote on multidimensional topics in which philosophy, politics, history, social and cultural issues were important. He was also a great wanderer and the main purpose of h…

  • A Machine Learning Approach for Predictive Analysis of Traffic Flow

    Open Access•Poonam Bhartiya, Mukta Bhatele et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Traffic congestion is a critical issue affecting urban areas globally, leading to significant economic and social costs. Predictive traffic flow analysis has emerged as a promising solution to mitigate congestion and enhance transportation efficiency. This paper proposes a machine learning approach for predictive analysis of traffic flow, leveraging the wealth of available data from various sources such as traffic sensors, GPS devices, and traffi…

  • The Role of Deep Learning in Exploring Traffic Prediction Techniques

    Open Access•Poonam Bhartiya, Mukta Bhatele et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    This research paper delves into the pivotal role of deep learning in advancing traffic prediction techniques. With urban traffic management becoming increasingly intricate, accurate short-term traffic prediction remains a cornerstone for effective congestion mitigation and transportation planning. Leveraging the capabilities of deep learning methodologies, this study systematically explores various deep learning models and their applications in p…

Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Traffic control and management (2 works) · Traffic Prediction and Management Techniques (2 works) · Aesthetics (1 work) · Artificial neural network (1 work) · Buddhism (1 work) · Computer security (1 work) · Convolutional neural network (1 work)

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