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pro vyhledávání: '"Arjun Venugopal"'
We investigate the complexity of short symbolic sequences of chaotic dynamical systems by using lossless compression algorithms. In particular, we study Non-Sequential Recursive Pair Substitution (NSRPS), a lossless compression algorithm first propos
Externí odkaz:
http://arxiv.org/abs/1101.4341
Autor:
Jacob Thottathil Varghese, Sajan Thomas, Joselin Herbert, Chacko Preno Koshy, Arjun Venugopal
Publikováno v:
Sound&Vibration. 56:255-274
Publikováno v:
Proceeding of Proceedings of the 26thNational and 4th International ISHMT-ASTFE Heat and Mass Transfer Conference December 17-20, 2021, IIT Madras, Chennai-600036, Tamil Nadu, India.
Publikováno v:
Journal of Energy Storage. 50:104332
Autor:
Selvakumaran Anish Kanna, Sundaramoorthy Sidhanathan, Ganesan Vignesh, R. Senthilnathan, Arjun Venugopal
Publikováno v:
International Journal of Robotics and Automation. 36
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030634667
IFIP Advances in Information and Communication Technology
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.261-275, ⟨10.1007/978-3-030-63467-4_21⟩
IFIP Advances in Information and Communication Technology
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.261-275, ⟨10.1007/978-3-030-63467-4_21⟩
Part 3: Data Science; International audience; Road datasets for computer vision tasks involved in advanced driver assist systems and autonomous driving are publicly available for the technical community for the development of machine learning aided s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::442c315af881afd60ab02b8d8b42a296
https://doi.org/10.1007/978-3-030-63467-4_21
https://doi.org/10.1007/978-3-030-63467-4_21
Publikováno v:
Applied Thermal Engineering. 137:461-474
The performance of IC engine can be enhanced by exhaust gas heat recovery using solid state phase change materials, such as pentaerythritol (C5H12O4). Further enhancement was achieved by adding Al2O3 nanoparticle to improve heat transfer performance
Publikováno v:
Journal of Energy Storage. 13:359-377
Pentaerythritol is a poly alcohol with high solid–solid phase change enthalpy that makes it suited for thermal energy storage applications. At solid–solid phase transition temperature, pentaerythritol change from body centered tetrahedral molecul