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  1. en.wikipedia.org › wiki › AruldossAruldoss - Wikipedia

    Born. 22 December. Madurai, Tamil Nadu, India. Occupation (s) Actor, cinematographer. Years active. 1997–present. Aruldoss is an Indian actor who has appeared in supporting roles in predominantly Tamil language films. Prior to focusing on an acting career, he worked as a cinematographer for several films.

  2. 10. 2020. Numerical inversion of Laplace transform via Wavelet operational matrix and its applications to fractional differential equations. R Aruldoss, K Balaji. International Journal of Applied and Computational Mathematics 8 (1), 16. , 2022. 8. 2022. An expeditious wavelet-based numerical scheme for solving fractional differential equations.

  3. 5 de oct. de 2023 · Aruldoss is an Indian actor known for his work in supporting roles predominantly in Tamil language films. Before pursuing a career in acting, he initially worked as a cinematographer for several films. His journey into the world of cinema began after completing his school education when he found employment as a wedding photographer.

    • Actor, Cinematographer
    • December 22, 1975
  4. 17 de may. de 2022 · #Aruldoss #Vikram #KamalhassanActor Aruldoss shares about his role he played in Vikram movie and how he got the chance to act with Kamal for the second time ...

    • 15 min
    • 63.8K
    • IndiaGlitz Tamil
  5. www.imdb.com › name › nm4725798Aruldoss - IMDb

    Glassmates (2024) 11 Videos. 2 Photos. Aruldoss is known for Vikram (2022), Soodhu Kavvum (2013) and Velaikkaran (2017). More at IMDbPro. Contact info. Agent info. Resume. Add to list.

    • Actor
    • 2 min
    • Aruldoss1
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  6. Aruldoss is an Indian film actor who has appeared in supporting roles in Tamil language films. Prior to focusing on an acting career, he worked as a cinematographer for several films. Read More

  7. R. Hannah Jessie Rani1 • T. Aruldoss Albert Victoire1 Published online: 27 June 2019 Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract This paper presents a synergy of three methods for training the Elman recurrent neural network to forecast the multi-step-ahead electricity price in an electric power system.