Priyadarshni

According to our database, Priyadarshni authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Deep meta reinforcement learning for efficient task offloading in edge computing environments.

Priyadarshni, Dhruvan Kadavala, Shivani Tripathi, Praveen Kumar, Rajiv Misra

Clust. Comput., October, 2025

Integrating of IOTA-based blockchain with edge computing for task offloading powering the metaverse.

Priyadarshni, Praveen Kumar, Nilesh Arjun Gupta, Rajiv Misra

Clust. Comput., April, 2025

Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers.

Shivani Tripathi, Priyadarshni, Rajiv Misra, T. N. Singh

Future Gener. Comput. Syst., 2025

Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction.

Shivani Tripathi, Angelina Shibu, Priyadarshni, Rajiv Misra, T. N. Singh

Appl. Soft Comput., 2025

Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments.

Shivani Tripathi, Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Rajiv Misra, T. N. Singh

Proceedings of the IEEE International Conference on Big Data, 2025

Optimizing Service Allocation in Mobile Edge Computing with Genetic Algorithm.

Priyadarshni, Shivani Tripathi, Kaushik Saha, Praveen Kumar, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2025

CEC-DuelNet: Relational Deep Reinforcement Learning for Coded Edge Computing Offloading.

Udit Narayan, Priyadarshni, Praveen Kumar, Shivani Tripathi, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2025

Efficient Resource Allocation Prediction for B5G Network Slicing Using Attention Based LSTM-DDPG.

Praveen Kumar, Yasir Waseem, Anubhav Kumar, Priyadarshni, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2025

Skin Cancer Detection and Classification Using Swin Transformer and YOLOv8.

Praveen Kumar, Yasir Waseem, Anubhav Kumar, Priyadarshni, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2025

Predicting Cloud Workload Job Arrival Rates Using a Diffusion Autoformer Model.

Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Shivani Tripathi, Rajiv Misra, T. N. Singh

Proceedings of the IEEE International Conference on Big Data, 2025

2024

An Integrated Approach of Efficient Edge Task Offloading Using Deep RL, Attention and MDS Techniques.

Priyadarshni, Praveen Kumar, Dhruvan Kadavala, Shivani Tripathi, Rajiv Misra

SN Comput. Sci., August, 2024

ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting.

Praveen Kumar, Priyadarshni, Rajiv Misra

CoRR, 2024

MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network.

Priyadarshni, Praveen Kumar, Shivani Tripathi, Akshun Pratap Dubey, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing.

Praveen Kumar, Priyadarshni, Shivani Tripathi, Rajiv Misra

Proceedings of the IEEE International Conference on Big Data, 2023