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S. Suresh 0003

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affiliation: Banaras Hindu University, Department of Computer Science, Varanasi, India
affiliation (PhD 2015): National Institute of Technology Tiruchirappalli, Department of Computer Applications, India

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2020 – today

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2024
[j6]
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Prabhat Kumar, S. Suresh:
Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors. Evol. Syst. 15(4): 1475-1486 (2024)
[j5]
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Suvramalya Basak, S. Suresh:
Vehicle detection and type classification in low resolution congested traffic scenes using image super resolution. Multim. Tools Appl. 83(8): 21825-21847 (2024)
2023
[j4]
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Prabhat Kumar, S. Suresh:
DeepTransHAR: a novel clustering-based transfer learning approach for recognizing the cross-domain human activities using GRUs (Gated Recurrent Units) Networks. Internet Things 21: 100681 (2023)
[j3]
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Prabhat Kumar, S. Suresh:
Deep-HAR: an ensemble deep learning model for recognizing the simple, complex, and heterogeneous human activities. Multim. Tools Appl. 82(20): 30435-30462 (2023)
2020
[i1]
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Prabhat Kumar, Rohit Kumar Kasera, S. Suresh:
Space observation on detoxing the unhealthy air quality during COVID-19 pandemic in India. CoRR abs/2012.03847 (2020)

2010 – 2019

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2016
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M. D. Samrajesh, N. P. Gopalan, S. Suresh:
A scalable component model for multi-tenant SaaS application. Int. J. Adv. Intell. Paradigms 8(2): 191-206 (2016)
2015
[j1]
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N. P. Gopalan, S. Suresh:
Modified Delay Scheduling: A Heuristic Approach for Hadoop Scheduling to Improve Fairness and Response Time. Parallel Process. Lett. 25(4): 1550009:1-1550009:11 (2015)

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