Vaibhav Tiwari

According to our database, Vaibhav Tiwari authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

5GT-GAN-NET: Internet Traffic Data Forecasting With Supervised Loss Based Synthetic Data Over 5G.

Chandrasen Pandey, Vaibhav Tiwari, Joel J. P. C. Rodrigues, Diptendu Sinha Roy

IEEE Trans. Mob. Comput., November, 2024

A forecasting-based approach for optimal deployment of edge servers in 5G networks.

Vaibhav Tiwari, Chandrasen Pandey, Diptendu Sinha Roy

Clust. Comput., August, 2024

Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES.

Vaibhav Tiwari, Chandrasen Pandey, Satyendra Singh Yadav, Diptendu Sinha Roy, Om Jee Pandey, Linga Reddy Cenkeramaddi

IEEE Open J. Commun. Soc., 2024

A Knapsack-based Metaheuristic for Edge Server Placement in 5G networks with heterogeneous edge capacities.

Vaibhav Tiwari, Chandrasen Pandey, Abisek Dahal, Diptendu Sinha Roy, Ugo Fiore

Future Gener. Comput. Syst., 2024

2023

Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks.

Chandrasen Pandey, Vaibhav Tiwari, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Diptendu Sinha Roy, Shitharth Selvarajan

IEEE Open J. Commun. Soc., 2023

5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities.

Chandrasen Pandey, Vaibhav Tiwari, Agbotiname Lucky Imoize, Chun-Ta Li, Cheng-Chi Lee, Diptendu Sinha Roy

IEEE Access, 2023

Deep Reinforcement Learning-Based Resource Management for 5G Networks: Optimizing eMBB Throughput and URLLC Latency.

Chandrasen Pandey, Vaibhav Tiwari, Agbotiname Lucky Imoize, Diptendu Sinha Roy

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Energy Optimization in B5G Networks with Predictive Allocation of Base Stations in Edge Server Placement.

Vaibhav Tiwari, Diptendu Sinha Roy, Chandrasen Pandey

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

2022

An efficient deep neural network based abnormality detection and multi-class breast tumor classification.

Rakesh Chandra Joshi, Divyanshu Singh, Vaibhav Tiwari, Malay Kishore Dutta

Multim. Tools Appl., 2022

Deep neural network for multi-class classification of medicinal plant leaves.

Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta

Expert Syst. J. Knowl. Eng., 2022

2021

<i>coherent WaveBurst</i>, a pipeline for unmodeled gravitational-wave data analysis.

Marco Drago, Sergey Klimenko, Claudia Lazzaro, Edoardo Milotti, Guenakh Mitselmakher, Valentin Necula, Brendan O'Brian, Giovanni Andrea Prodi, Francesco Salemi, Marek J. Szczepanczyk, Shubhanshu Tiwari, Vaibhav Tiwari, Gayathri V, Gabriele Vedovato, Igor Yakushin

SoftwareX, 2021

Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images.

Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta

Ecol. Informatics, 2021

Pyrenote: a Web-based, Manual Annotation Tool for Passive Acoustic Monitoring.

Sean Perry, Vaibhav Tiwari, Nishant Balaji, Erika Joun, Jacob Ayers, Mathias Tobler, Ian Ingram, Ryan Kastner, Curt Schurgers

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021