Publications

Tyagi, S., & Srivastava, A., "Overcoming Terrain Challenges with Edge Computing Solutions: Optimizing WSN Deployments Over Obstacle Clad-Irregular Terrains", Journal of Web Engineering, Vol. 23_08, 1127–1154, https: //doi.org/10.13052/jwe1540-9589.2384

Tyagi, S., & Srivastava, A., "Addressing WSN Deployments Over Obstacle Clad-Irregular Terrains", In Current Trends in Web Engineering: ICWE 2024 International Workshops, BECS and WALS, Tampere, Finland, June 17, 2024, Revised Selected Papers (p. 43), Springer Nature.

Tyagi, S., Shah, A., & Srivastava, A. (2025). "Underwater Object Identification with Edge Computing Paradigms". Accepted in Proceedings of the 25th International Conference on Web Engineering (ICWE 2025), TU Delft, Netherlands

Tyagi, S., Shah, A., & Srivastava, A. (2025). "Environment-Aware Greedy Deployment Strategy for Underwater Acoustic Sensor Networks Using Bathymetric Mapping and Transmission Loss Modeling". PeerJ Computer Science (Accepted).

Tyagi, S., Shah, A., & Srivastava, A., "Towards Real-Time Underwater Object Detection: Integrating Acoustic Sensing with Edge Computing Paradigms", Journal of Web Engineering (Accepted, 2025).

Kumar, G. D., Pradhan, K. C., & Tyagi, S. (2024), "Deep Learning Forecasting: An LSTM Neural Architecture based Approach to Rainfall and Flood Impact Predictions in Bihar", Procedia Computer Science, 235, 1455-1466.

Kumar, G. D., Tyagi, S., & Pradhan, K. C. (2024), "Predictive ML analysis: Rainfall & flood vulnerability in Bihar, India", In Artificial Intelligence and Information Technologies (pp. 447-453), CRC Press.

Kumar, G. D., Tyagi, S., Pradhan, K. C., & Shah, A. (2025). "District-Level Rainfall and Cloudburst Prediction Using XGBoost: A Machine Learning Approach for Early Warning Systems". Informatica, 49(2), 151–172.

Tyagi, A., Tyagi, S., & Kumar, G. D.(2025), "Federated Learning in Smart Agriculture", Accepted as a book chapter in Taylor and Francis, CRC Press