Shivani Tripathi

Orcid: 0000-0003-1498-4971

According to our database1, Shivani Tripathi authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2026
Anomaly-aware quantum convolutional neural network for carbon-efficient job arrival rate prediction in cloud computing.
Future Gener. Comput. Syst., 2026

2025
GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems.
J. Grid Comput., December, 2025

Deep meta reinforcement learning for efficient task offloading in edge computing environments.
Clust. Comput., October, 2025

Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models.
CoRR, July, 2025

Searching Clinical Data Using Generative AI.
CoRR, May, 2025

Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers.
Future Gener. Comput. Syst., 2025

BRL-Net: A Blockchain-Based Task Offloading Framework Using Smart Contracts for Metaverse.
Concurr. Comput. Pract. Exp., 2025

Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction.
Appl. Soft Comput., 2025

2024
An Integrated Approach of Efficient Edge Task Offloading Using Deep RL, Attention and MDS Techniques.
SN Comput. Sci., August, 2024

Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks.
Proceedings of the IEEE International Conference on Big Data, 2024

MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing.
Proceedings of the IEEE International Conference on Big Data, 2023

Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
Learning-based Declarative Query Optimization.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021


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