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 (MASS, 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)

coherent WaveBurst, 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; et al. (SoftwareX, 2021)

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)

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)

Energy Optimization in B5G Networks with Predictive Allocation of Base Stations in Edge Server Placement. - Vaibhav Tiwari; Diptendu Sinha Roy; Chandrasen Pandey (ANTS, 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 (VTC Fall, 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)

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)

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)

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 forecasting-based approach for optimal deployment of edge servers in 5G networks. - Vaibhav Tiwari; Chandrasen Pandey; Diptendu Sinha Roy (Clust. Comput., 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., 2024)

MF-CGAN: Multifeature Conditional GAN for Synthetic Data Generation in Internet of Medical Things. - Chandrasen Pandey; Vaibhav Tiwari; Sharmila Anand John Francis; Vipin Pal; Diptendu Sinha Roy (IEEE Internet Things J., 2025)