Nidhi

According to our database, Nidhi authored at least 19 papers between 2006 and 2024.

Collaborative distances:

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

2024

A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition.

Nidhi, Bindu Verma

Appl. Intell., September, 2024

Federated learning analysis for vehicular traffic flow prediction: evaluation of learning algorithms and aggregation approaches.

Nidhi, Jyoti Grover

Clust. Comput., July, 2024

A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things.

Seyed Salar Sefati, Asim Ul Haq, Nidhi, Razvan Craciunescu, Simona Halunga, Albena Mihovska, Octavian Fratu

IEEE Access, 2024

2023

From methods to datasets: a detailed study on facial emotion recognition.

Nidhi, Bindu Verma

Appl. Intell., December, 2023

Meta Standard Requirements for Harmonizing Dataspace Integration at the Edge.

Parwinder Singh, Nidhi, Asim Ul Haq, Michail J. Beliatis

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022

Increasing Reliability on UAV Fading Scenarios.

Joseanne Viana, João Madeira, Nidhi, Pedro Sebastião, Francisco Cercas, Albena Mihovska, Rui Dinis

IEEE Access, 2022

Business Opportunities for Beyond 5G and 6G Networks.

Nidhi, Albena Mihovska, Ambuj Kumar, Ramjee Prasad

Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Data-driven Interactive Crowd Management Systems for Metaverse Scenarios.

Desislava Koshnicharova, Nidhi, Albena Mihovska, Pavlina Koleva, Vladimir Poulkov

Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Cost Revenue Trade-off for the 5G NR Small Cell Network in the Sub-6 GHz Operating Band.

Bahram Khan, Nidhi, Rui R. Paulo, Albena Mihovska, Fernando J. Velez

Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues.

Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi, Roshni R. Ramnani, Anutosh Maitra, Shubhashis Sengupta

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Spectrum Sharing and Dynamic Spectrum Management Techniques in 5G and Beyond Networks: A Survey.

Nidhi, Albena Mihovska, Ramjee Prasad

J. Mobile Multimedia, 2021

Trends in Standardization Towards 6G.

Nidhi, Bahram Khan, Albena Mihovska, Ramjee Prasad, Fernando J. Velez

J. ICT Stand., 2021

Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets.

Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Overview of Network Slicing: Business and Standards Perspective for Beyond 5G Networks.

Bahram Khan, Nidhi, Albena Mihovska, Ramjee Prasad, Fernando J. Velez

Proceedings of the 2021 IEEE Conference on Standards for Communications and Networking, 2021

Latent Space Transformers for Generalizing Deep Networks.

Hamed Farkhari, Joseanne Viana, Nidhi, Luís Miguel Campos, Pedro Sebastião, Albena Mihovska, Purnima Lala Mehta, Luís Bernardo

Proceedings of the 2021 IEEE Conference on Standards for Communications and Networking, 2021

2020

Overview of 5G New Radio and Carrier Aggregation: 5G and Beyond Networks.

Nidhi, Albena Mihovska, Ramjee Prasad

Proceedings of the 23rd International Symposium on Wireless Personal Multimedia Communications, 2020

Small Cell Deployment Challenges in Ultradense Networks: Architecture and Resource Management.

Nidhi, Albena Mihovska

Proceedings of the 12th International Symposium on Communication Systems, 2020

2012

Performance Evaluation of Realistic Vanet Using Traffic Light Scenario

Nidhi, D. K. Lobiyal

CoRR, 2012

2006

Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases.

Nidhi, Meir Glick, John W. Davies, Jeremy L. Jenkins

J. Chem. Inf. Model., 2006