| 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 | 16 | 2023 |
| Image processing approach to automate feature measuring and process parameters optimizing of laser additive manufacturing process D Patil, A Nigam, subrajeet Mohapatra Journal of manufacturing processes 69, 630-647, 2021 | 16 | 2021 |
| 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 | 5 | 2022 |
| 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 33 (9), 895-910, 2020 | 5 | 2020 |
| On the application of YOLO‑based object detection models to classify and detect defects in laser‑directed energy deposition process D Nikam, A Chukwuemeke, A Nigam, T Bhosale, S Nikam Progress in Additive Manufacturing, 1-16, 2025 | 4 | 2025 |
| YOLO-based in-situ Defect Monitoring System for Additive Manufacturing D Nikam, M Hudon, S Coleman, D Kerr, NK Jain, S Nikam 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN), 1-7, 2026 | | 2026 |
| Real-Time Detection and Counting of Melted Spatter Particles During Deposition of Biomedical-Grade Co-Cr-Mo-4Ti Powder Using the Micro-Plasma Transferred Arc Additive … S Nikam, S Coleman, D Kerr, NK Jain, Y Pamchal, D Nikam Engineering Proceedings 92 (1), 78, 2025 | | 2025 |
Akriti NigamAssistant Professor, Birla Institute of Technology, Mesra, RanchiVerified email at bitmesra.ac.in
