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2020 – today
- 2024
[j7]K. G. Satheeshkumar, Arunachalam Venkatesan, S. Deepika:
Hand-held GPU accelerated device for multiclass classification of X-ray images using CNN model. Microprocess. Microsystems 106: 105046 (2024)- 2023
- [j6]Deepika Selvaraj
, Arunachalam Venkatesan:
Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine. Eng. Appl. Artif. Intell. 126: 106953 (2023) - [c2]Deepika Selvaraj, Arunachalam Venkatesan, David Novo:
Analysis of Optimum 3-Dimensional Array and Fast Data Movement for Efficient Memory Computation in Convolutional Neural Network Models. ICCCSP 2023: 94-108 - 2022
- [j5]Deepika Selvaraj, Arunachalam Venkatesan:
Analysis & Design of Convolution Operator for High Speed and High Accuracy Convolutional Neural Network-Based Inference Engines. IEEE Trans. Computers 71(2): 390-396 (2022) - 2021
- [j4]Arunachalam Venkatesan, Alex Noel Joseph Raj, Deepika Selvaraj:
Performance Improvement of Vector-Radix Decimation-in-Frequency 3D-DCT/IDCT Using Variable Word Length. Circuits Syst. Signal Process. 40(4): 1818-1831 (2021) - [j3]Deepika Selvaraj, Arunachalam Venkatesan, Vijayalakshmi G. V. Mahesh, Alex Noel Joseph Raj:
An integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images. Int. J. Imaging Syst. Technol. 31(1): 28-46 (2021)
2010 – 2019
- 2018
- [j2]Arunachalam Venkatesan, Alex Noel Joseph Raj, Naveen Hampannavar, C. B. Bidul:
Efficient dual-precision floating-point fused-multiply-add architecture. Microprocess. Microsystems 57: 23-31 (2018) - 2014
- [j1]Arunachalam Venkatesan, Alex Noel Joseph Raj:
Efficient VLSI implementation of FFT for orthogonal frequency division multiplexing applications. IET Circuits Devices Syst. 8(6): 526-531 (2014) - 2011
- [c1]A. M. Kulkarni, Arunachalam Venkatesan:
FPGA implementation & comparison of current trends in memory scheduler for multimedia application. ICWET 2011: 1214-1218
Coauthor Index
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