Bhumika

Orcid: 0000-0002-4391-8634

According to our database1, Bhumika authored at least 11 papers between 2022 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Federated learning based driver recommendation for next generation transportation system.
Expert Syst. Appl., September, 2023

Dr. MTL: Driver Recommendation using Federated Multi-Task Learning.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2022
Delivery with UAVs: a simulated dataset via ATS.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

MetoidS: Hybrid K-Medoids-Meta Heuristic Clustering-Based Routing Optimization in Vehicular Ad-Hoc Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Deep Learning Based Urban Anomaly Prediction from Spatiotemporal Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ANOM-DGCN: Detection of Anomalies in Dynamic Networks using Deviated Graph Convolution Network.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Stress-Aware Recommendation for Safe Driving using MTL-ConvLSTM.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

TransDBC: Transformer for Multivariate Time-Series based Driver Behavior Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

RsSafe: Personalized Driver Behavior Prediction for Safe Driving.
Proceedings of the International Joint Conference on Neural Networks, 2022

UApredictor: Urban Anomaly Prediction from Spatial-Temporal Data using Graph Transformer Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2022


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