Machine learning technique for early detection of Alzheimer’s disease R Kumari, A Nigam, S Pushkar Microsystem Technologies, 2020 | 23 | 2020 |
Content based trademark retrieval by integrating shape with colour and texture information A Nigam, AK Garg, R Tripathi International Journal of Computer Applications 22 (7), 40-45, 2011 | 17 | 2011 |
An efficient combination of quadruple biomarkers in binary classification using ensemble machine learning technique for early onset of Alzheimer disease R Kumari, A Nigam, S Pushkar Neural Computing and Applications 34 (14), 11865-11884, 2022 | 15 | 2022 |
Image processing approach to automate feature measuring and process parameter optimizing of laser additive manufacturing process DB Patil, A Nigam, S Mohapatra Journal of Manufacturing Processes 69, 630-647, 2021 | 11 | 2021 |
Trademark image retrieval using weighted combination of sift and HSV correlogram A Nigam, RC Tripathi International Journal of Computer Applications in Technology 54 (1), 61-67, 2016 | 9 | 2016 |
A multiple feature-based offline handwritten signature verification system A Nigam, P Singh, VK Singh, RC Tripathi International Journal of Computer Applications in Technology 59 (3), 214-223, 2019 | 5 | 2019 |
Work-in-Progress: Towards Efficient and Scalable Big Data Analytics: Mapreduce vs. RDD’s S Srivastava, A Nigam, R Kumari 2017 International Conference on Information Technology (ICIT), 272-275, 2017 | 4 | 2017 |
Classification of MRI images for detecting Alzheimer’s disease using convolutional neural network R Kumari, A Nigam, S Pushkar Virtual International Conference on Soft Computing, Optimization Theory and …, 2021 | 3 | 2021 |
Automation of geometric feature computation through image processing approach for single-layer laser deposition process DB Patil, A Nigam, S Mohapatra International Journal of Computer Integrated Manufacturing, 1-16, 2020 | 3 | 2020 |
A Deep Learning Approach to Classify and Detect Defects in the Components Manufactured by Laser Directed Energy Deposition Process DB Patil, A Nigam, S Mohapatra, S Nikam Machines 11 (9), 854, 2023 | 2 | 2023 |
An image processing approach to measure features and identify the defects in the laser additive manufactured components DB Patil, A Nigam, S Mohapatra 2021 4th International Conference on Recent Trends in Computer Science and …, 2022 | 2 | 2022 |
Patch-Based Siamese 3D Convolutional Neural Network for Early Alzheimer's Disease Using Multi-Modal Approach R Kumari, S Das, A Nigam, S Pushkar IETE Journal of Research, 1-19, 2023 | 1 | 2023 |
Novel Image Analysis-Based Method for Residence Time Distribution Analysis in Steelmaking Tundish A Nigam, A Gupta, RK Singh Transactions of the Indian Institute of Metals 74 (2), 243-254, 2021 | 1 | 2021 |
Image Retrieval System for Composite Images using Directional Chain Codes RCT Akriti Nigam, Rupesh Yadav International Journal of Advanced Science and Technology 58, 51-64, 2013 | 1 | 2013 |
FUZZY CLUSTERING OF IMAGE TRADEMARK DATABASE AND PREPROCESSING USING ADAPTIVE FILTER AND KARHUNEN–LOÈVE TRANSFORM RCT Akriti Nigam, Ajay Indoria International Journal of Image and Graphics 13 (2), 15, 2013 | 1* | 2013 |
Fuzzy Clustering of Image Trademark Database and Pre-processing Using Adaptive Filter and Karhunen-Loève Transform RCT Akriti Nigam,Ajay Indoria Intelligent Interactive Technologies and Multimedia 276, 297-305, 2013 | 1* | 2013 |
A Robust Approach for Malaria Parasite Identification with CNN Based Feature Extraction and Classification using SVM K Ohdar, A Nigam 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |
Efficient retrieval of trademark images from large databases A Nigam, VK Singh International Journal of Intellectual Property Management 11 (2), 165-184, 2021 | | 2021 |
Novel System for Retrieval of Composite Trademarks Using Multi-feature Voting A Nigam, RC Tripathi 2016 International Conference on Information Technology (ICIT), 254-259, 2016 | | 2016 |
JM BASTIDAS, JJ DAMBORENEA JA GONZALEZ, E OTERO, ME CHACON, WI ARCHER, ... | | |