Performance Improvement of Vector-Radix Decimation-in-Frequency 3D-DCT/IDCT Using Variable Word Length. - Arunachalam Venkatesan; Alex Noel Joseph Raj; Deepika Selvaraj (Circuits Syst. Signal Process., 2021)

An integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images. - Deepika Selvaraj; Arunachalam Venkatesan; Vijayalakshmi G. V. Mahesh; Alex Noel Joseph Raj (Int. J. Imaging Syst. Technol., 2021)

Analysis & Design of Convolution Operator for High Speed and High Accuracy Convolutional Neural Network-Based Inference Engines. - Deepika Selvaraj; Arunachalam Venkatesan (IEEE Trans. Computers, 2022)

Analysis of Optimum 3-Dimensional Array and Fast Data Movement for Efficient Memory Computation in Convolutional Neural Network Models. - Deepika Selvaraj; Arunachalam Venkatesan; David Novo (ICCCSP, 2023)

Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine. - Deepika Selvaraj; Arunachalam Venkatesan (Eng. Appl. Artif. Intell., 2023)

A review on hardware accelerators for convolutional neural network-based inference engines: Strategies for performance and energy-efficiency enhancement. - Deepika Selvaraj; Arunachalam Venkatesan; Alex Noel Joseph Raj (Microprocess. Microsystems, 2025)