Derivative of an Ideal in a Number Ring. - Raj Kumar Mistri; Ram Krishna Pandey (Integers, 2014)

A Note on the Density of M-sets in Geometric Sequence. - Ram Krishna Pandey; Amitabha Tripathi (Ars Comb., 2015)

The Direct and Inverse Theorems on Integer Subsequence Sums Revisited. - Raj Kumar Mistri; Ram Krishna Pandey (Integers, 2016)

On Unavoidable Obstructions in Gaussian Walks. - Sai Teja Somu; Ram Krishna Pandey (Integers, 2016)

Language Independent Single Document Image Super-Resolution using CNN for improved recognition. - Ram Krishna Pandey; A. G. Ramakrishnan (CoRR, 2017)

On the Maximal Density of Integral Sets Whose Differences Avoiding the Weighted Fibonacci Numbers. - Anshika Srivastava; Ram Krishna Pandey; Om Prakash (Integers, 2017)

On Some Conjectures about Arithmetic Partial Differential Equations. - Ram Krishna Pandey; Rohit Saxena (J. Integer Seq., 2017)

MSCE: An Edge-Preserving Robust Loss Function for Improving Super-Resolution Algorithms. - Ram Krishna Pandey; Nabagata Saha; Samarjit Karmakar; A. G. Ramakrishnan (ICONIP (6), 2018)

Segmentation of Liver Lesions with Reduced Complexity Deep Models. - Ram Krishna Pandey; Aswin Vasan; A. G. Ramakrishnan (CoRR, 2018)

A hybrid approach of interpolations and CNN to obtain super-resolution. - Ram Krishna Pandey; A. G. Ramakrishnan (CoRR, 2018)

Computationally Efficient Approaches for Image Style Transfer. - Ram Krishna Pandey; Samarjit Karmakar; A. G. Ramakrishnan (CoRR, 2018)

Binary Document Image Super Resolution for Improved Readability and OCR Performance. - Ram Krishna Pandey; K. Vignesh; A. G. Ramakrishnan; Chandrahasa B (CoRR, 2018)

On Certain Sums with Quadratic Expressions Involving the Legendre Symbol. - Ram Krishna Pandey; Anshumaan Parashar (J. Integer Seq., 2018)

Improvement of Image Denoising Algorithms by Preserving the Edges. - Ram Krishna Pandey; Harpreet Singh; A. G. Ramakrishnan (CAIP (2), 2019)

Improving Facial Emotion Recognition Systems with Crucial Feature Extractors. - Ram Krishna Pandey; Souvik Karmakar; A. G. Ramakrishnan; Nabagata Saha (ICIAP (1), 2019)

Improving the Perceptual Quality of Document Images Using Deep Neural Network. - Ram Krishna Pandey; A. G. Ramakrishnan (ISNN (2), 2019)

Effects of Modifying the Input Features and the Loss Function on Improving Emotion Classification. - Ram Krishna Pandey; A. G. Ramakrishnan; Souvik Karmakar (TENCON, 2019)

Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images. - Ram Krishna Pandey; Souvik Karmakar; A. G. Ramakrishnan; Nabagata Saha (CoRR, 2019)

Inverse problems for certain subsequence sums in integers. - Jagannath Bhanja; Ram Krishna Pandey (Discret. Math., 2020)

DeepInterpolation: fusion of multiple interpolations and CNN to obtain super-resolution. - Ram Krishna Pandey; Angarai Ganesan Ramakrishnan (IET Image Process., 2020)

Direct and inverse problems for restricted signed sumsets in integers. - Jagannath Bhanja; Takao Komatsu; Ram Krishna Pandey (Contributions Discret. Math., 2021)

CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity. - Ram Krishna Pandey; Akshit Achara (CVIP (1), 2023)

Extended inverse theorems for $h$-fold sumsets in integers. - Mohan; Ram Krishna Pandey (Contributions Discret. Math., 2023)

TrueDeep: A systematic approach of crack detection with less data. - Ram Krishna Pandey; Akshit Achara (Expert Syst. Appl., 2024)

Revealing the underlying patterns: Investigating dataset similarity, performance, and generalization. - Akshit Achara; Ram Krishna Pandey (Neurocomputing, 2024)