Journal Publications
Raj H. and Srivastava G. (2025). An OGI Based Unattended Natural Gas Leak Detection System by Utilizing the Power of Machine Learning and Computer Vision. In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-730-6, SciTePress, pages 823-830. DOI: 10.5220/0013345600003905
J. Singh, G. Srivastava and S. Agarwal, "Metaverse: What, Why and Where?," 2023 IEEE Smart World Congress (SWC), Portsmouth, United Kingdom, 2023, pp. 1-6, doi: 10.1109/SWC57546.2023.10448621.
Prashant, G. Srivastava and V. P. Singh, "Ensemble of Deep Learning approaches forDetection of Brain Tumor," 2022 International Conference on Advancements in Smart Computing and Information Security (ASCIS), Marwadi University, India, 2022, pp. 11-16.
Gupta, A., Padsala, M., Jani, D., Bisen, T., Shayla, A., Srivastava , G. (2024). From Above and Beyond: Decoding Urban Aesthetics with the Visual Pollution Index. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing . Studies in Computational Intelligence, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-031-56388-1_8
Steinbach, T.J., Tokarz, D.A., Co, C.A., Harris, S.F., McBride, S.J., Shockley, K.R., Lokhande, A., Srivastava, G., Ugalmugle, R., Kazi, A. and Singletary, E., 2024. Inter-Rater and Intra-Rater Agreement in Scoring zeverity of Rodent Cardiomyopathy and Relation to Artificial Intelligence–Based Scoring. Toxicologic pathology, 52(5), pp.258-265.
Chowdhury, P., Srivastava, G. (2025). Enhanced Classification and Segmentation of Brain Tumors in MRI Images Using Custom CNN and U-Net Models with XAI. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15328. Springer, Cham. https://doi.org/10.1007/978-3-031-78104-9_1
Srivastava, Gargi, and Sajal Agarwal. "Deep learning–enabled optical sensors." Intelligent Photonics Systems. CRC Press, 2025. 109-138.
Srivastava, Gargi, and Sajal Agarwal. "Terahertz imaging: timeline and future prospects." Terahertz Devices, Circuits and Systems: Materials, Methods and Applications. Singapore: Springer Nature Singapore, 2022. 267-287
Agarwal, Sajal, Gargi Srivastava, and Yogendra Kumar Prajapati. "Dual band Vis-IR absorber using bismuth based helical metamaterial surface." Optical and Quantum Electronics 54.11 (2022): 772
Agarwal, Sajal, and Gargi Srivastava. "Recent Advancements in Structural Health Monitoring using Optical Sensor." 2023 International Conference on Device Intelligence, Computing and Communication Technologies,(DICCT). IEEE, 2023
Prashant, Gargi Srivastava and Vibhav Prakash Singh. " International Conference on Advancements in Smart Computing and Information Security." Springer, 2022
Srivastava, Gargi, and Rajeev Srivastava. “Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping.” International Journal of Imaging Systems and Technology (2021)
Tokarz, D. A., Steinbach, T. J., Lokhande, A., Srivastava, G., Ugalmugle, R., Co, C. A., Shockley, K. R., Singletary, E., Cesta, M. F., Thomas, H. C., Chen, V. S., Hobbie, K., & Crabbs, T. A. (2020). Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy. Toxicologic Pathology.
Srivastava, G., Srivastava, R. Annotation of images using local binary pattern and local derivative pattern after salient object detection using minimum directional contrast and gradient vector flow. SIViP (2020).
Gargi Srivastava and Rajeev Srivastava. 2020. Design, Analysis, and Implementation of Efficient Framework for Image Annotation. ACM Trans. Multimedia Comput. Commun. Appl. 16, 3, Article 89 (July 2020), 24 pages.
Neera Singh, Vaibhav Pandey, Gargi Srivastava, Sitashree Banerjee, Om Parkash, Devendra Kumar, 
and 
-(Fe, Ni) phase characterization using image processing and effect of phase formation on the P/M Fe(100-x)Ni(x) alloys properties, Materials Chemistry and Physics, Volume 246, 2020, 122794, ISSN 0254-0584.
Srivastava, G., Srivastava, R. User-interactive salient object detection using YOLOv2, lay snapping, and gabor filters. Machine Vision and Applications 31, 17 (2020).
Srivastava, G., Srivastava, R. An efficient modification of generalized gradient vector flow using directional contrast for salient object detection and intelligent scene analysis. Multimed Tools Appl 79, 13599-13619 (2020).
Gargi Srivastava, Rajeev Srivastava, Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness, Journal of Visual Communication and Image Representation, Volume 62, 2019, Pages 330-339.
G. Srivastava and R. Srivastava, “Modification of Gradient Vector Flow Using Directional Contrast for Salient Object Detection”, in IEEE MultiMedia, vol. 26, no. 4, pp. 7-16, 1 Oct. – Dec. 2019.
Srivastava G., Srivastava R. (2019) An Improved Active Contour Model for Salient Object Detection Using Edge Cues. In: Khare A., Tiwary U., Sethi I., Singh N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore.
Srivastava G., Srivastava R. (2018) A Survey on Automatic Image Captioning. In: Ghosh D., Giri D., Mohapatra R., Savas E., Sakurai K., Singh L. (eds) Mathematics and Computing. ICMC 2018. Communications in Computer and Information Science, vol 834. Springer, Singapore.
M. P. Singh, Gargi Srivastava, Prabhat Kumar. (2016). Internet Traffic Classification Using Machine Learning. International Journal of Database Theory and Application, 9(12), 45-54.
Gargi Srivastava, M. P. Singh, Prabhat Kumar, and J. P. Singh, Internet Traffic Classification: A Survey, Recent Advances in Mathematics, Statistics and Computer Science, July 2016, 611-620.
