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ORCIDAjay Pratap
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2020 – today
- 2025
[c19]Himanshu Singh, Sourabh Patidar, Ajay Pratap, Keiichi Yasumoto:
Maximizing Utility and Quality in Smart Healthcare with Incentive Driven Hierarchical Federated Learning. COMSNETS 2025: 120-125- 2024
- [j16]Saurabh Kumar Mishra
, Moirangthem Biken Singh, Deewanshu Sharma, Ajay Pratap:
Efficient resource allocation using whale optimization for cell-free massive MIMO networks in 6G HetNet. Phys. Commun. 66: 102467 (2024) - [j15]Moirangthem Biken Singh, Himanshu Singh, Ajay Pratap:
Stable Matching Based Revenue Maximization for Federated Learning in UAV-Assisted WBANs. IEEE Trans. Serv. Comput. 17(4): 1835-1846 (2024) - [j14]Moirangthem Biken Singh, Himanshu Singh, Ajay Pratap:
Energy-Efficient and Privacy-Preserving Blockchain Based Federated Learning for Smart Healthcare System. IEEE Trans. Serv. Comput. 17(5): 2392-2403 (2024) - [j13]Himanshu Singh, Ajay Pratap, Ram Narayan Yadav, Debasis Das:
Loss Aware Federated Learning for Service Migration in Multimodal E-Health Services. IEEE Trans. Serv. Comput. 17(5): 2571-2582 (2024) - [c18]Yasasvitha Koganti, Ram Narayan Yadav, Ajay Pratap:
Optimizing Resource Utilization and QoS-Conscious Application Deployment Through AHP in Edge Computing. COMSNETS 2024: 135-140 - [c17]Himanshu Singh, Moirangthem Biken Singh, Pratik Prakash Kagale, Ajay Pratap:
Cost-Aware Hierarchical Federated Learning for Smart Healthcare. COMSNETS 2024: 141-146 - [c16]Moirangthem Biken Singh, Suraj Mahawar, Himanshu Singh, Shilpi Kumari, Ajay Pratap:
Blockchain and Fog Access Point Integrated Healthcare System for Contact Tracing and Infection Probability Evaluation. ICDCN 2024: 340-345 - [c15]Abhishek Kumar, Shilpi Kumari, Ajay Pratap, Sunil Kumar:
NVM-Enhanced MLI Placement for Revenue Maximization in UAV-Fog Assisted MEC with Stable Matching. ICDCN 2024: 365-370 - [c14]Himanshu Singh, Moirangthem Biken Singh, Ajay Pratap, Shilpi Kumari, Abhishek Kumar, Sajal K. Das:
Splitfed-based Patient Severity Prediction and Utility Maximization in Industrial Healthcare 4.0. ICDCN 2024: 388-393 - 2023
- [j12]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 190-199 (2023) - [j11]Moirangthem Biken Singh, Navneet Taunk, Naveen Kumar Mall, Ajay Pratap:
Criticality and Utility-Aware Fog Computing System for Remote Health Monitoring. IEEE Trans. Serv. Comput. 16(3): 1738-1749 (2023) - [c13]Himanshu Singh, Moirangthem Biken Singh, Akash Patel, Ajay Pratap:
SOTA: Stochastic On-Time Arrival Path Prediction and Dynamic Programming for Criticality Aware Mobile Healthcare System. ANTS 2023: 148-153 - [c12]Moirangthem Biken Singh, Himanshu Singh, Ajay Pratap:
Criticality-Driven Scheduling for UAV-Assisted Remote Health Monitoring System. ANTS 2023: 159-164 - [c11]Somesh Srivastava, Manish Kumar Soni, Ajay Pratap:
A Critical Study of Challenges and Risk in Healthcare sector based on Cloud Computing. ICCCNT 2023: 1-5 - [c10]Moirangthem Biken Singh, Suraj Mahawar, Himanshu Singh, Ajay Pratap:
COVID-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model. ICDCN 2023: 354-359 - [c9]Himanshu Singh, Moirangthem Biken Singh, Ranju Sharma, Jayesh Gat, Ayush Kumar Agrawal, Ajay Pratap:
Optimized Doctor Recommendation System using Supervised Machine Learning. ICDCN 2023: 360-365 - [i7]Amit Kumar, Rupjyoti Baruah, Ajay Pratap, Mayank Swarnkar, Anil Kumar Singh:
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques. CoRR abs/2303.01793 (2023) - [i6]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning. CoRR abs/2303.18011 (2023) - [i5]Amit Kumar, Shantipriya Parida, Ajay Pratap, Anil Kumar Singh:
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding. CoRR abs/2305.12371 (2023) - 2022
- [j10]Amit Kumar, Ajay Pratap, Anil Kumar Singh, Sriparna Saha:
Addressing domain shift in neural machine translation via reinforcement learning. Expert Syst. Appl. 201: 117039 (2022) - [j9]Amit Kumar, Rajesh Kumar Mundotiya, Ajay Pratap, Anil Kumar Singh:
TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation. J. King Saud Univ. Comput. Inf. Sci. 34(9): 6552-6563 (2022) - [j8]Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, Sajal K. Das:
A fog-assisted system to defend against Sybils in vehicular crowdsourcing. Pervasive Mob. Comput. 83: 101612 (2022) - [j7]Ajay Pratap, Sajal K. Das:
Stable Matching Based Resource Allocation for Service Provider's Revenue Maximization in 5G Networks. IEEE Trans. Mob. Comput. 21(11): 4094-4110 (2022) - [j6]Ajay Pratap:
Cyclic Stable Matching Inspired Resource Provisioning for IoT-Enabled 5G Networks. IEEE Trans. Veh. Technol. 71(11): 12195-12205 (2022) - [i4]Moirangthem Biken Singh, Ajay Pratap:
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare. CoRR abs/2207.11654 (2022) - 2021
- [j5]Ajay Pratap, Rajiv Misra, Sajal K. Das:
Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks. IEEE Trans. Mob. Comput. 20(2): 603-619 (2021) - [c8]Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, Sajal K. Das:
A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing. SMARTCOMP 2021: 105-112 - [i3]Navneet Taunk, Naveen Kumar Mall, Ajay Pratap:
Criticality and Utility-aware Fog Computing System for Remote Health Monitoring. CoRR abs/2105.11097 (2021) - [i2]Suraj Mahawar, Ajay Pratap:
Covid-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model. CoRR abs/2106.00759 (2021) - 2020
- [j4]Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
Bandwidth-constrained task throughput maximization in IoT-enabled 5G networks. Pervasive Mob. Comput. 69: 101281 (2020)
2010 – 2019
- 2019
- [c7]Rishabh Singhal, Ajay Pratap, Rajiv Misra, Sajal K. Das:
Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks. COMSNETS 2019: 359-366 - [c6]Ajay Pratap, Shivani Singh, Shaswat Satapathy, Sajal K. Das:
Maximizing Joint Data Rate and Resource Efficiency in D2D-IoT Enabled Multi-Tier Networks. LCN 2019: 177-184 - [c5]Ajay Pratap, Federico Concone, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
Three-Dimensional Matching based Resource Provisioning for the Design of Low-Latency Heterogeneous IoT Networks. MSWiM 2019: 79-86 - [c4]Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints. SMARTCOMP 2019: 217-224 - [i1]Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints. CoRR abs/1905.01143 (2019) - 2018
- [j3]Ajay Pratap, Rishabh Singhal, Rajiv Misra, Sajal K. Das:
Distributed Randomized k-Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks. IEEE Trans. Parallel Distributed Syst. 29(6): 1247-1260 (2018) - [j2]Ajay Pratap, Rajiv Misra:
Random Graph Coloring-Based Resource Allocation for Achieving User Level Fairness in Femtocellular LTE-A Networks. Wirel. Pers. Commun. 98(2): 1975-1995 (2018) - [c3]Ajay Pratap, Rajiv Misra, Sajal K. Das:
Resource Allocation to Maximize Fairness and Minimize Interference for Maximum Spectrum Reuse in 5G Cellular Networks. WOWMOM 2018: 1-9 - 2016
- [j1]Ajay Pratap, Rajiv Misra, Utkarsh Gupta:
Randomized Graph Coloring Algorithm for Physical Cell ID Assignment in LTE-A Femtocellular Networks. Wirel. Pers. Commun. 91(3): 1213-1235 (2016) - 2015
- [c2]Ajay Pratap, Rajiv Misra:
Resource sharing in D2D communication underlaying cellular LTE-A networks. ICACCI 2015: 103-109 - [c1]Ajay Pratap, Rajiv Misra:
Firefly Inspired Improved Distributed Proximity Algorithm for D2D Communication. IPDPS Workshops 2015: 323-328
Coauthor Index
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