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ORCIDAnuj Singh
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2020 – today
- 2024
[j11]Anuj Singh, Raman Kumar, Arvind Kumar Tiwari:
Correction: Prediction of Alzheimer's Using Random Forest with Radiomic Features. Comput. Syst. Sci. Eng. 48(1): 269 (2024)- 2023
- [j10]Anuj Singh, Raman Kumar, Arvind Kumar Tiwari:
Prediction of Alzheimer's Using Random Forest with Radiomic Features. Comput. Syst. Sci. Eng. 45(1): 513-530 (2023) - [j9]Kaushlendra Yadav, Anuj Singh, Arvind Kumar Tiwari:
Improvements in Weather Forecasting Technique Using Cognitive Internet of Things. Comput. Syst. Sci. Eng. 46(3): 3767-3782 (2023) - [j8]Anuj Singh, Hadi Jamali Rad:
Transductive Decoupled Variational Inference for Few-Shot Classification. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Hadi Jamali Rad
, Mohammad Abdizadeh, Anuj Singh:
Federated Learning With Taskonomy for Non-IID Data. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8719-8730 (2023) - [c4]Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali Rad:
Self-Attention Message Passing for Contrastive Few-Shot Learning. WACV 2023: 5414-5425 - [i4]Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash:
GeNIe: Generative Hard Negative Images Through Diffusion. CoRR abs/2312.02548 (2023) - 2022
- [j6]Sumit Mohan, Anil Kumar Solanki, Harish Kumar Taluja, Anuradha, Anuj Singh:
Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach. Comput. Biol. Medicine 144: 105354 (2022) - [j5]Arpita Srivastava, Anuj Singh, Arvind Kumar Tiwari:
An efficient hybrid approach for the prediction of epilepsy using CNN with LSTM. Int. J. Artif. Intell. Soft Comput. 7(3): 179-193 (2022) - [c3]Anuj Singh, Arvind Kumar Tiwari:
A Survey on Computational Intelligence Techniques in Learning and Memory. CICBA 2022: 129-153 - [i3]Anuj Singh, Hadi Jamali Rad:
Transductive Decoupled Variational Inference for Few-Shot Classification. CoRR abs/2208.10559 (2022) - [i2]Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali Rad:
Self-Attention Message Passing for Contrastive Few-Shot Learning. CoRR abs/2210.06339 (2022) - 2020
- [j4]Sakshi Srivastava, Prince Kumar, Vaishali Chaudhry, Anuj Singh:
Detection of Ovarian Cyst in Ultrasound Images Using Fine-Tuned VGG-16 Deep Learning Network. SN Comput. Sci. 1(1): 39 (2020) - [j3]Sakshi Srivastava, Prince Kumar, Noor Mohd, Anuj Singh, Fateh Singh Gill:
A Novel Deep Learning Framework Approach for Sugarcane Disease Detection. SN Comput. Sci. 1(2): 87 (2020)
2010 – 2019
- 2019
- [c2]Anuj Singh, Rishi Ranjan Singh, S. R. S. Iyengar:
Hybrid Centrality Measures for Service Coverage Problem. CSoNet 2019: 81-94 - [i1]Anuj Singh:
Regions In a Linked Dataset For Change Detection. CoRR abs/1905.07663 (2019) - 2017
- [c1]Anuj Singh, Christophe Debruyne, Rob Brennan, Alan Meehan, Declan O'Sullivan:
Extension of the M-Gov ontology mapping framework for increased traceability. OM@ISWC 2017: 49-60 - 2016
- [j2]Sudip Misra, Anuj Singh, Subarna Chatterjee, Mohammad S. Obaidat:
Mils-Cloud: A Sensor-Cloud-Based Architecture for the Integration of Military Tri-Services Operations and Decision Making. IEEE Syst. J. 10(2): 628-636 (2016) - 2015
- [j1]Sudip Misra, Anuj Singh, Subarna Chatterjee, Amit Kumar Mandal:
QoS-aware sensor allocation for target tracking in sensor-cloud. Ad Hoc Networks 33: 140-153 (2015)
Coauthor Index
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