State-of-art analysis of image denoising methods using convolutional neural networks. - Rini Smita Thakur; Ram Narayan Yadav; Lalita Gupta (IET Image Process., 2019)

PReLU and edge-aware filter-based image denoiser using convolutional neural network. - Rini Smita Thakur; Ram Narayan Yadav; Lalita Gupta (IET Image Process., 2020)

Review of noise removal techniques in ECG signals. - Shubhojeet Chatterjee; Rini Smita Thakur; Ram Narayan Yadav; Lalita Gupta; Deepak Kumar Raghuvanshi (IET Signal Process., 2020)

Restoration of Image using Discrete Wavelet Transform with Filtering Technique. - Srishty Dwivedi; Ram Narayan Yadav; Lalita Gupta (ICCCNT, 2021)

Image De-Noising With Machine Learning: A Review. - Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta (IEEE Access, 2021)

Novel Romberg approximation of the Gaussian Q function and its application over versatile κ - μ shadowed fading channel. - Aditya Powari; Dharmendra Sadhwani; Lalita Gupta; Ram Narayan Yadav (Digit. Signal Process., 2022)

Optimization of the Exponential Bounds on the Gaussian Q Function Using Interior Point Algorithm and Its Application in Communication Theory. - Aditya Powari; Dharmendra Sadhwani; Lalita Gupta; Ram Narayan Yadav (IEEE Open J. Commun. Soc., 2022)

Sparsity-based modified wavelet de-noising autoencoder for ECG signals. - Shubhojeet Chatterjee; Rini Smita Thakur; Ram Narayan Yadav; Lalita Gupta (Signal Process., 2022)

State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques. - Swati Soni; Ram Narayan Yadav; Lalita Gupta (IEEE Access, 2023)

Nature-Inspired DBN based Optimization Techniques for Image De-noising. - Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta (Intell. Syst. Appl., 2023)

Parallel Local and Global Context Modeling of Deep Learning-Based Monaural Speech Source Separation Techniques. - Swati Soni; Lalita Gupta; Rishav Dubey (IEEE Access, 2025)