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Applications of computational techniques in Gene advancements
Abstract
Deep Learning as well as Advanced Analytics could perhaps assist in controlling the massive, unexpected volume of information obtained from screening programs, legitimate pandemic outbreak scanning, pattern prediction, routine condition checklist as well as upgrading from regulatory establishments or species, or rather medical equipment utilization facts, subsequent breakthroughs of genomic as well as bioinformatics methodologies or data exchange systems. The purpose of this article is to provide a insight of the possible uses of artificial intelligence as well as advanced analytics throughout the worldwide struggle to combat the outbreak. Machine learning along with information genetics has made substantial contributions towards the creation of enormous yet vital understanding which may add value to big advances as well as breakthroughs in genetics or associated domains. During the last years, a variety of systems including methodologies were suggested as well as implemented to improve efficiency, analysis, as well as capacity simultaneously retaining user’s flexibility with simplicity.
Keywords
References
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Ajay Sudhir Bale “Cancer Detection using Artificial Neural Networking Techniques: A Study” at 3rd IEEE International Conference on Advances in Computing, Communication Control and Networking (ICAC3N–21) organised by Galgotias College of Engineering and Technology (GCET), Greater Noida, (U.P.), India – 201306 on December 17, 2021.
Ajay Sudhir Bale “Advancements of Lab on Chip in Reducing Human Intervention” at 3rd IEEE International Conference on Advances in Computing, Communication Control and Networking (ICAC3N–21) organised by Galgotias College of Engineering and Technology (GCET), Greater Noida, (U.P.), India – 201306 on December 18, 2021.
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Ajay Sudhir Bale, J. Aditya Khatokar, M.S. Kiran Mohan, G. Bharath, Shantanu Singh, J. Roshini, Suhaas V. Reddy, Shivashankar A. Huddar, N. Vinay, Nanotechnology as a tool for treating cancerous tumors, Materials Today: Proceedings, Volume 43, Part 6, 2021, Pages 3847-3851, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2020.12.1175.
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Ajay Sudhir Bale, Suhaas V. Reddy, Shivashankar A. Huddar, Electromechanical characterization of Nitinol based RF MEMS switch, Materials Today: Proceedings, Volume 27, Part 1, 2020, Pages 443-445, ISSN 2214-7853,
Ajay Sudhir Bale, J. Aditya Khatokar, Shantanu Singh, G. Bharath, M.S. Kiran Mohan, Suhaas V. Reddy, T.Y. Satheesha, Shivashankar A. Huddar, Nanosciences fostering cross domain engineering applications, Materials Today: Proceedings, 2020, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2020.09.076.
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Venkatesh M S, Manoj Patil, Ajay Sudhir Bale, Srujan Ingalgeri. Design of Remotely Monitorable Low Power Phototherapy Unit for Treatment of Neonatal Hyperbilirubinemia, National Conference at Bapuji Engineering College, Davangere, India
Aditya Khatokar J., Mounisha M., Nayana M.A., Ajay Sudhir Bale, Bhavana S. Battery Management System: A Survey. Journal of Industrial Safety Engineering. 2020; 7(1): 29– 35p.
Kishan Das Menon H, Aditya Khatokar J, Ajay Sudhir Bale. Enhanced Railway Operations Using Automated Locomotive Simulator. Trends in Transport Engineering and Applications.2020; 7(1): 17–23p.
Aditya Khatokar J, Nayana M A , Soundarya N, Meghana N, Bhavana S, Sunkireddy Umarani, Ajay Sudhir Bale. Electric Vehicles: Transition to Green Zone. Trends in Transport Engineering and Applications. 2020; 7(2): 12–17p.
Raksha K.P., Rajani Alagawadi, Nisha N., Deeksha R., Ajay Sudhir Bale. Advancement of Nanotechnology in Batteries. International Journal of Energetic Materials. 2020; 6(2): 18– 24p.
Vinay N., Aditya Khatokar J., Ajay Sudhir Bale. Analysis on Synthesis of Quantum Dots with Their Applications on Photochemistry. International Journal of Photochemistry. 2020; 6(1): 1–11p
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Ajay Sudhir Bale, Harish Koujalgi. Quality Factor analysis for Nitinol based RF MEMS Resonator. International Research Journal of Engineering and Technology (IRJET). Volume: 04 Issue: 07 July -2017. e-ISSN: 2395-0056, p-ISSN: 2395-0072.
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DOI: https://doi.org/10.37591/(rrjobi).v9i1.1251
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