Ashish Rauniyar
Orcid: 0000-0002-2142-9522
According to our database1,
Ashish Rauniyar
authored at least 32 papers
between 2015 and 2024.
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Bibliography
2024
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
IEEE Internet Things J., 2024
IEEE Access, 2024
2023
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023
Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA.
Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023
2022
Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks.
Concurr. Comput. Pract. Exp., 2022
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
NEMO: Internet of Things based Real-time Noise and Emissions MOnitoring System for Smart Cities.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
2021
Exploring and Enhancing the Spectral and Energy-Efficiency of Non-Orthogonal Multiple Access in Next Generation IoT Networks.
PhD thesis, 2021
Internet Technol. Lett., 2021
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
2020
Capacity enhancement of NOMA-SWIPT IoT relay system with direct links over rayleigh fading channels.
Trans. Emerg. Telecommun. Technol., 2020
Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, 2020
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020
A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020
Proceedings of the MobiQuitous '20: Computing, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
2019
In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning.
Proceedings of the Distributed Computing for Emerging Smart Networks, 2019
2018
RF Energy Harvesting and Information Transmission Based on NOMA for Wireless Powered IoT Relay Systems.
Sensors, 2018
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog.
Mob. Inf. Syst., 2018
A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
RF Energy Harvesting and Information Transmission Based on Power Splitting and NOMA for IoT Relay Systems.
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018
RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA.
Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018
2017
Design and Development of a Real-Time Monitoring System for Multiple Lead-Acid Batteries Based on Internet of Things.
Future Internet, 2017
2016
Crowdsourcing-Based Disaster Management Using Fog Computing in Internet of Things Paradigm.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016
2015
Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network.
Wirel. Pers. Commun., 2015
Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks.
Int. J. Distributed Sens. Networks, 2015
A Novel Energy-Efficient Clustering Based Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks.
Int. J. Distributed Sens. Networks, 2015
Performance analysis of cascaded energy and matched filter detector with malicious users in cognitive radio networks.
Proceedings of the 2015 International Symposium on Intelligent Signal Processing and Communication Systems, 2015