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Himanshu Sharma
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Publications
- 2024
- [j45]Rahul Nijhawan, Garima Sinha, Ashita Batra, Manoj Kumar, Himanshu Sharma:
VTnet+Handcrafted based approach for food cuisines classification. Multim. Tools Appl. 83(4): 10695-10715 (2024) - [j43]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
SecBoost: Secrecy-Aware Deep Reinforcement Learning Based Energy-Efficient Scheme for 5G HetNets. IEEE Trans. Mob. Comput. 23(2): 1401-1415 (2024) - 2023
- [j33]Himanshu Sharma, Neeraj Kumar:
Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey. Phys. Commun. 57: 102002 (2023) - [j32]Venkata Deepa Kota, Himanshu Sharma, Mark V. Albert, Ifana Mahbub, Gayatri Mehta, Kamesh Namuduri:
A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson. Sensors 23(4): 2270 (2023) - [j30]Ishan Budhiraja, Neeraj Kumar, Himanshu Sharma, Mohamed Elhoseny, Yahya Lakys, Joel J. P. C. Rodrigues:
Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme. IEEE Trans. Intell. Transp. Syst. 24(11): 13296-13308 (2023) - [j29]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 72(2): 2439-2452 (2023) - [j28]Himanshu Sharma, Neeraj Kumar, Ishan Budhiraja, Ahmed Barnawi:
Secrecy Rate Maximization in THz-Aided Heterogeneous Networks: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 72(10): 13490-13505 (2023) - [c40]G. Anusha, Krishan Arora, Himanshu Sharma, Surya Prakash Thota, Chaman Verma, Maria Simona Raboaca, Constantin Filote:
Performance Comparison of 15-Level Multilevel Inverter Topologies. ECAI 2023: 1-6 - [c38]Himanshu Sharma, Manjusha Tatiya, Upendra Singh Aswal, K. Laxminarayanamma, Nandita Tripathi, Dinesh Singh:
Real-Time Patient Monitoring Using Deep Learning For Medical Diagnosis. IC3I 2023: 1629-1634 - [c37]Himanshu Sharma, Devvret Verma, Aditya Rana, S. Lakshmana Chari, Rohit Kumar, Naveen Kumar:
Enhancing Network Security in IoT Using Machine Learning- Based Anomaly Detection. IC3I 2023: 2650-2654 - 2022
- [j22]Himanshu Sharma, Neeraj Kumar, Bijaya Ketan Panigrahi, Aziz Alotaibi:
Deep Learning-Based Authentication Framework for Secure Terrestrial Communications in Next Generation Heterogeneous Networks. IEEE Internet Things Mag. 5(4): 174-179 (2022) - [j17]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
Physical layer security using beamforming techniques for 5G and beyond networks: A systematic review. Phys. Commun. 54: 101791 (2022) - [c35]Himanshu Sharma, Pulkit, Gitika Sharma, Neeraj Kumar:
Secrecy Maximization for Pico Edge Users in 5G Backhaul HWNs: A Quantum RL Approach. ANTS 2022: 207-212 - [c34]Gitika Sharma, Pulkit, Himanshu Sharma, Sushma Jain, Neeraj Kumar:
Modeling Evapotranspiration in IoT based WSN for Irrigation Scheduling: An Optimized DL Approach. GLOBECOM 2022: 1948-1953 - [c33]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani, Nazeeruddin Mohammad:
Deep Learning enabled Channel Secrecy Codes for Physical Layer Security of UAVs in 5G and beyond Networks. ICC 2022: 1-6 - [c32]Himanshu Sharma, Ishan Budhiraja, Neeraj Kumar, Rajkumar Tekchandani:
Secrecy Rate Maximization for THz-Enabled Femto Edge Users using Deep Reinforcement Learning in 6G. INFOCOM Workshops 2022: 1-6 - [c31]Himanshu Sharma, Ishan Budhiraja, Prakhar Consul, Neeraj Kumar, Deepak Garg, Liang Zhao, Lie Liu:
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV. DroneCom@MobiCom 2022: 73-78 - 2019
- [j7]Sujeet Kumar Sharma, Himanshu Sharma, Yogesh K. Dwivedi:
A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services. Inf. Syst. Manag. 36(3): 243-261 (2019) - [c23]Himanshu Sharma, Neeraj Kumar, Bijaya Ketan Panigrahi:
Physical Layer Security of AMI Data Transmission in Smart Grid Environment. GLOBECOM Workshops 2019: 1-6 - [c22]Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. ISBI 2019: 1391-1394 - [i4]Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. CoRR abs/1901.06405 (2019) - 2018
- [c20]Rahul Nijhawan, Radhika Jindal, Himanshu Sharma, Balasubramanian Raman, Josodhir Das:
A Deep Learning Framework Approach for Urban Area Classification Using Remote Sensing Data. CVIP (1) 2018: 449-456 - [c19]Sriharsha Koundinya, Himanshu Sharma, Manoj Sharma, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Abhijit Karmakar, Santanu Chaudhury:
2D-3D CNN Based Architectures for Spectral Reconstruction From RGB Images. CVPR Workshops 2018: 844-851 - [c18]Himanshu Sharma, Meenakshi Tripathi, Amit Kumar, Manoj Singh Gaur:
Embedded Assistive Stick for Visually Impaired Persons. ICCCNT 2018: 1-6 - 2017
- [c15]Rahul Nijhawan, Himanshu Sharma, Harshita Sahni, Ashita Batra:
A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features. SITIS 2017: 192-196 - [c14]Qing Wu, Wenbing Zhao, Himanshu Sharma, Tie Qiu:
Movie trailer quality evaluation using real-time human electroencephalogram. SMC 2017: 3553-3557 - 2016
- [j1]Sujeet Kumar Sharma, Ankita Joshi, Himanshu Sharma:
A multi-analytical approach to predict the Facebook usage in higher education. Comput. Hum. Behav. 55: 340-353 (2016) - 2015
- [c10]Himanshu Sharma, Sumeet Saurav, Sanjay Singh, Anil K. Saini, Ravi Saini:
Analyzing impact of image scaling algorithms on viola-jones face detection framework. ICACCI 2015: 1715-1718 - 2010
- [c2]Ruchi Garg, Himanshu Sharma, Sumit Kumar:
Effectiveness of AODV Protocol under Hidden Node Environment. FGIT-FGCN (2) 2010: 432-440
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last updated on 2024-03-24 02:38 CET by the dblp team
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