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2020 – today
- 2024
[j9]Seyed Salar Sefati
, Asim Ul Haq, Nidhi, Razvan Craciunescu, Simona Halunga, Albena Mihovska, Octavian Fratu:
A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things. IEEE Access 12: 113741-113784 (2024)- [j8]Nidhi, Bindu Verma:
A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition. Appl. Intell. 54(17-18): 7793-7809 (2024) - [j7]Nidhi, Jyoti Grover:
Federated learning analysis for vehicular traffic flow prediction: evaluation of learning algorithms and aggregation approaches. Clust. Comput. 27(4): 5075-5091 (2024) - 2023
- [j6]Nidhi, Bindu Verma:
From methods to datasets: a detailed study on facial emotion recognition. Appl. Intell. 53(24): 30219-30249 (2023) - [j5]Ruby Dahiya, Nidhi, Kajal Kumari, Shruti Kumari, Nidhi Agarwal:
Usage of Web Scraping in the Pharmaceutical Sector. EAI Endorsed Trans. Pervasive Health Technol. 9 (2023) - [c10]Parwinder Singh, Nidhi, Asim Ul Haq, Michail J. Beliatis:
Meta Standard Requirements for Harmonizing Dataspace Integration at the Edge. CSCN 2023: 130-135 - 2022
- [j4]Joseanne Viana, João Madeira, Nidhi, Pedro Sebastião, Francisco Cercas, Albena Mihovska, Rui Dinis:
Increasing Reliability on UAV Fading Scenarios. IEEE Access 10: 30959-30973 (2022) - [c9]Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi, Roshni R. Ramnani, Anutosh Maitra, Shubhashis Sengupta:
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues. LREC 2022: 5274-5285 - [c8]Bahram Khan, Nidhi, Rui R. Paulo, Albena Mihovska, Fernando J. Velez:
Cost Revenue Trade-off for the 5G NR Small Cell Network in the Sub-6 GHz Operating Band. WPMC 2022: 64-69 - [c7]Nidhi, Albena Mihovska, Ambuj Kumar, Ramjee Prasad:
Business Opportunities for Beyond 5G and 6G Networks. WPMC 2022: 543-548 - [c6]Desislava Koshnicharova, Nidhi, Albena Mihovska, Pavlina Koleva, Vladimir Poulkov:
Data-driven Interactive Crowd Management Systems for Metaverse Scenarios. WPMC 2022: 549-554 - [i3]Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi, Roshni R. Ramnani, Anutosh Maitra, Shubhashis Sengupta:
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues. CoRR abs/2205.15951 (2022) - 2021
- [j3]Nidhi, Bahram Khan, Albena Mihovska, Ramjee Prasad, Fernando J. Velez:
Trends in Standardization Towards 6G. J. ICT Stand. 9(3) (2021) - [j2]Nidhi, Albena Mihovska, Ramjee Prasad:
Spectrum Sharing and Dynamic Spectrum Management Techniques in 5G and Beyond Networks: A Survey. J. Mobile Multimedia 17(1-3): 65-78 (2021) - [c5]Hamed Farkhari, Joseanne Viana, Nidhi, Luís Miguel Campos, Pedro Sebastião, Albena Mihovska, Purnima Lala Mehta, Luís Bernardo:
Latent Space Transformers for Generalizing Deep Networks. CSCN 2021: 130-135 - [c4]Bahram Khan, Nidhi, Albena Mihovska, Ramjee Prasad, Fernando J. Velez:
Overview of Network Slicing: Business and Standards Perspective for Beyond 5G Networks. CSCN 2021: 142-147 - [c3]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets. PAKDD (1) 2021: 188-200 - [i2]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets. CoRR abs/2104.05321 (2021) - 2020
- [c2]Nidhi, Albena Mihovska:
Small Cell Deployment Challenges in Ultradense Networks: Architecture and Resource Management. CSNDSP 2020: 1-6 - [c1]Nidhi, Albena Mihovska, Ramjee Prasad:
Overview of 5G New Radio and Carrier Aggregation: 5G and Beyond Networks. WPMC 2020: 1-6
2010 – 2019
- 2012
- [i1]Nidhi, D. K. Lobiyal:
Performance Evaluation of Realistic Vanet Using Traffic Light Scenario. CoRR abs/1203.2195 (2012)
2000 – 2009
- 2006
- [j1]Nidhi, Meir Glick, John W. Davies, Jeremy L. Jenkins:
Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases. J. Chem. Inf. Model. 46(3): 1124-1133 (2006)
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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