Comprehensive survey of 3D image steganography techniques. - Ashish Girdhar; Vijay Kumar 003 (IET Image Process., 2018)

A RGB image encryption technique using Lorenz and Rossler chaotic system on DNA sequences. - Ashish Girdhar; Vijay Kumar 003 (Multim. Tools Appl., 2018)

A reversible and affine invariant 3D data hiding technique based on difference shifting and logistic map. - Ashish Girdhar; Vijay Kumar 003 (J. Ambient Intell. Humaniz. Comput., 2019)

A 2D logistic map and Lorenz-Rossler chaotic system based RGB image encryption approach. - Vijay Kumar 003; Ashish Girdhar (Multim. Tools Appl., 2021)

Classification of White blood cell using Convolution Neural Network. - Ashish Girdhar; Himani Kapur; Vijay Kumar 003 (Biomed. Signal Process. Control., 2022)

Unlocking the Potential of Unlabeled Data: Semi-Supervised Learning for Stratification of Hyperspectral Images. - Pallavi Ranjan; Rajeev Kumar 007; Ashish Girdhar (OCIT, 2023)

Network Traffic Analysis in Software-Defined Networking Using RYU Controller. - Shanu Bhardwaj; Ashish Girdhar (Wirel. Pers. Commun., 2023)

Color image encryption based on planetary encoding paradigm and 5D hyper chaotic lorenz system. - Ashish Girdhar; Vijay Kumar (Comput. Electr. Eng., 2024)

Deep Siamese Network with Handcrafted Feature Extraction for Hyperspectral Image Classification. - Pallavi Ranjan; Ashish Girdhar (Multim. Tools Appl., 2024)

A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images. - Pallavi Ranjan; Rajeev Kumar 007; Ashish Girdhar (Neural Comput. Appl., 2024)

A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classification. - Pallavi Ranjan; Ashish Girdhar; Ankur; Rajeev Kumar 007 (Earth Sci. Informatics, 2024)

Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning. - Pallavi Ranjan; Anukriti Kaushal; Ashish Girdhar; Rajeev Kumar 007 (Earth Sci. Informatics, 2025)