P. Nirmal Kumar - researchr alias

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Viewing Publication 1 - 10 from 10

2023

Reconfigurable Pedestrian Detection System Using Deep Learning for Video SurveillanceM. K. Jeevarajan, P. Nirmal Kumar. ieicetd, 106(9):1610-1614, September 2023. [doi]

A novel attention-based feature learning and optimal deep learning approach for network intrusion detectionK. Sakthi, P. Nirmal Kumar. jifs, 45(3):5123-5140, 2023. [doi]

2021

Analysis of Shearlet System Based Features to Characterize Fundus Images for Glaucoma DiagnosisG. Gifta Jerith, P. Nirmal Kumar. jmihi, 11(9):2450-2456, 2021. [doi]

Efficient underdetermined speech signal separation using encompassed Hammersley- Clifford algorithm and hardware implementationNavaneetha Velammal M, P. Nirmal Kumar. mam, 85:104300, September 2021. [doi]

2020

Recognition of Glaucoma by means of Gray Wolf Optimized Neural NetworkG. Gifta Jerith, P. Nirmal Kumar. mta, 79(15-16):10341-10361, 2020. [doi]

Efficient soft error resiliency by multi-match packet classification using scalable TCAM implementation in FPGAK. Sakthi, P. Nirmal Kumar. mam, 74:102985, 2020. [doi]

Improved Whale Optimized MLP Neural Network-Based Learning Mechanism for Multiuser Detection in MIMO Communication SystemR. Umamaheswari, M. Ramya Princess, P. Nirmal Kumar. jcsc, 29(15), 2020. [doi]

2013

Computer aided partitioning for design of parallel testable VLSI systemsDeepa Jose, P. Nirmal Kumar, L. Saravakanthan, R. Dheeraj. icacci 2013: 1363-1366 [doi]

2007

Evolving virtual reconfigurable circuit for a fault tolerant systemP. Nirmal Kumar, S. Anandhi, J. Raja Paul Perinbam. cec 2007: 1555-1561 [doi]

2005

Digital Image Filter Design Using Evolvable HardwareP. Nirmal Kumar, S. Suresh, J. Raja Paul Perinbam. ACISicis 2005: 483-488 [doi]

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