Fuzzy Clustering of Image Trademark Database and Preprocessing using Adaptive filter and Karhunen-LOèVE Transform. - Akriti Nigam; Ajay Indoria; R. C. Tripathi (Int. J. Image Graph., 2013)

Novel System for Retrieval of Composite Trademarks Using Multi-feature Voting. - Akriti Nigam; R. C. Tripathi (ICIT, 2016)

Trademark image retrieval using weighted combination of sift and HSV correlogram. - Akriti Nigam; R. C. Tripathi (Int. J. Comput. Appl. Technol., 2016)

Work-in-Progress: Towards Efficient and Scalable Big Data Analytics: Mapreduce vs. RDD's. - Sheetanshu Srivastava; Akriti Nigam; Rashmi Kumari (ICIT, 2017)

A multiple feature-based offline handwritten signature verification system. - Akriti Nigam; Prateek Singh; Vivek Kumar Singh 009; Ramesh Chandra Tripathi (Int. J. Comput. Appl. Technol., 2019)

Automation of geometric feature computation through image processing approach for single-layer laser deposition process. - Deepika Bhanudas Patil; Akriti Nigam; Subrajeet Mohapatra (Int. J. Comput. Integr. Manuf., 2020)

An efficient combination of quadruple biomarkers in binary classification using ensemble machine learning technique for early onset of Alzheimer disease. - Rashmi Kumari; Akriti Nigam; Shashank Pushkar (Neural Comput. Appl., 2022)

A Robust Approach for Malaria Parasite Identification with CNN Based Feature Extraction and Classification using SVM. - Kanak Ohdar; Akriti Nigam (ICCCNT, 2023)

Multimodal diagnosis of Alzheimer's disease based on volumetric and cognitive assessments. - Rashmi Kumari; Subhranil Das; Akriti Nigam; Raghwendra Kishore Singh (Multim. Tools Appl., 2025)