Výsledky vyhledávání - "R., Annie Uthra"

Akademický článek

On-Device Intelligence for AI-Enabled Bio-Inspired Autonomous Underwater Vehicles (AUVs)

Autor: Aryan Anand, M Yuva Bharath, Prabha Sundaravadivel, J. Preetha Roselyn, R. Annie Uthra

Publikováno v: IEEE Access, Vol 12, Pp 51982-51994 (2024)

This paper introduces an innovative approach to underwater exploration by integrating Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration between AI and biomimicry marks a new era for AUVs, enabling them to emu

Externí odkaz: https://doaj.org/article/3ff2b5abeb454f6f8e58c42d3ddc710b

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Akademický článek

Adaptive damper control for HVAC systems based on human occupancy and indoor parameters: A development study

Autor: C. H. Vasanthkumar, J. Preetha Roselyn, R. Annie Uthra, D. Devaraj

Publikováno v: Frontiers in Energy Research, Vol 10 (2022)

Occupancy-based strategies for the control of ventilation systems in buildings are effective for achieving energy savings and user comfort. Savings in energy consumption of more than 50% can be achieved by controlling heat, ventilation, and air condi

Externí odkaz: https://doaj.org/article/3e296584ea464d399ba8c40c0658b298

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Akademický článek

Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data

Autor: S. Priya, R. Annie Uthra

Publikováno v: Complex & Intelligent Systems, Vol 9, Iss 4, Pp 3499-3515 (2021)

Abstract In present times, data science become popular to support and improve decision-making process. Due to the accessibility of a wide application perspective of data streaming, class imbalance and concept drifting become crucial learning problems

Externí odkaz: https://doaj.org/article/8749ca6bb4e2442cb03c585108a3e1a0

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Akademický článek

Congestion avoidance algorithm using ARIMA(2,1,1) model-based RTT estimation and RSS in heterogeneous wired-wireless networks

Autor: A., Jeyasekar, S.V., Kasmir Raja, R., Annie Uthra

Publikováno v: In Journal of Network and Computer Applications 1 September 2017 93:91-109

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LSTM based artificial intelligence predictive maintenance technique for availability rate and OEE improvement in a TPM implementing plant through Industry 4.0 transformation

Autor: Roosefert Mohan, J. Preetha Roselyn, R. Annie Uthra

Publikováno v: Journal of Quality in Maintenance Engineering.

PurposeThe artificial intelligence (AI) based total productive maintenance (TPM) condition based maintenance (CBM) approach through Industry 4.0 transformation can well predict the breakdown in advance to eliminate breakdown.Design/methodology/approa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::250e58d62b08980092680c63235c4aed
https://doi.org/10.1108/jqme-07-2022-0041

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