Performance analysis of cascaded energy and matched filter detector with malicious users in cognitive radio networks. - Ashish Rauniyar; Dae Ro Jeong; G. S. L. Krishna Chand; Soo Young Shin (ISPACS, 2015)

A Novel Energy-Efficient Clustering Based Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks. - Ashish Rauniyar; Soo Young Shin (Int. J. Distributed Sens. Networks, 2015)

Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks. - Ashish Rauniyar; Soo Young Shin (Int. J. Distributed Sens. Networks, 2015)

Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network. - Dimas Triwicaksono; Ashish Rauniyar; Soo Young Shin (Wirel. Pers. Commun., 2015)

Crowdsourcing-Based Disaster Management Using Fog Computing in Internet of Things Paradigm. - Ashish Rauniyar; Paal Engelstad; Boning Feng; Do Van Thanh 001 (CIC, 2016)

Design and Development of a Real-Time Monitoring System for Multiple Lead-Acid Batteries Based on Internet of Things. - Ashish Rauniyar; Muhammad Irfan 001; Oka Danil Saputra; Jin Woo Kim; Ah Ra Lee; Jae Min Jang; Soo Young Shin (Future Internet, 2017)

RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (ITNAC, 2018)

RF Energy Harvesting and Information Transmission Based on Power Splitting and NOMA for IoT Relay Systems. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (NCA, 2018)

A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. - Ashish Rauniyar; Paal Engelstad; Jonas Moen (VTC Spring, 2018)

A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog. - Ashish Rauniyar; Desta Haileselassie Hagos; Manish Shrestha (Mob. Inf. Syst., 2018)

RF Energy Harvesting and Information Transmission Based on NOMA for Wireless Powered IoT Relay Systems. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (Sensors, 2018)

Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. - Ashish Rauniyar; Jeevan Kunwar; Hårek Haugerud; Anis Yazidi; Paal Engelstad (DiCES-N@ICTAC, 2019)

In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly. - Ramesh Pokhrel; Ashish Rauniyar; Anis Yazidi (PDCAT, 2019)

Automatic Polyp Segmentation Using U-Net-ResNet50. - Saruar Alam; Nikhil Kumar Tomar; Aarati Thakur; Debesh Jha; Ashish Rauniyar (MediaEval, 2020)

Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (MobiQuitous, 2020)

A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. - Ashish Rauniyar; Anis Yazidi; Paal Engelstad; Olav N. Østerbø (NCA, 2020)

An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (PIMRC, 2020)

Ergodic Capacity Performance of D2DIoT Relay NOMA-SWIPT Systems with Direct Links. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (TSP, 2020)

Ergodic Capacity Performance of NOMA-SWIPT Aided IoT Relay Systems with Direct Link. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (WiOpt, 2020)

Capacity enhancement of NOMA-SWIPT IoT relay system with direct links over rayleigh fading channels. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (Trans. Emerg. Telecommun. Technol., 2020)

Automated Polyp Segmentation in Colonoscopy using MSRFNet. - Saurab Rauniyar; Abhishek Srivastava; Vabesh Kumar Jha; Ritika Kumari Jha; Debesh Jha; Ashish Rauniyar (MediaEval, 2021)

Ergodic sum capacity analysis of NOMA-SWIPT enabled IoT relay systems. - Ashish Rauniyar; Paal Engelstad; Olav N. Østerbø (Internet Technol. Lett., 2021)

Exploring and Enhancing the Spectral and Energy-Efficiency of Non-Orthogonal Multiple Access in Next Generation IoT Networks. - Ashish Rauniyar (2021)

Video Analytics in Elite Soccer: A Distributed Computing Perspective. - Debesh Jha; Ashish Rauniyar; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen; Ulas Bagci (SAM, 2022)

NEMO: Internet of Things based Real-time Noise and Emissions MOnitoring System for Smart Cities. - Ashish Rauniyar; Truls Berge; Jan Erik Håkegård (SAM, 2022)

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård (SAM, 2022)

Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks. - Ramesh Upreti; Ashish Rauniyar; Jeevan Kunwar; Hårek Haugerud; Paal Engelstad; Anis Yazidi (Concurr. Comput. Pract. Exp., 2022)

Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. - Ashish Rauniyar; Olav N. Østerbø; Jan Erik Håkegård; Paal E. Engelstad (ITNAC, 2023)

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. - Debesh Jha; Ashish Rauniyar; Abhishek Srivastava; Desta Haileselassie Hagos; Nikhil Kumar Tomar; Vanshali Sharma; Elif Keles; Zheyuan Zhang; Ugur Demir; Ahmet Topcu; Anis Yazidi; Jan Erik Håkegård; et al. (CoRR, 2023)

Exploiting Cooperative Downlink NOMA in D2D Communications. - Ashish Rauniyar; Olav N. Østerbø; Jan Erik Håkegård; Paal Engelstad (Sensors, 2023)

Digital Twin-Based Security Orchestration, Automation and Response for IoT and CPS. - Phu Hong Nguyen; Ashish Rauniyar; Toni Valtteri Niemi (IFIPIoT (1), 2024)

Practical and Ethical Considerations for Generative AI in Medical Imaging. - Debesh Jha; Ashish Rauniyar; Desta Haileselassie Hagos; Vanshali Sharma; Nikhil Kumar Tomar; Zheyuan Zhang; Ilkin Isler; Gorkem Durak; Michael B. Wallace; Cemal Yazici; Tyler M. Berzin; Koushik Biswas; et al. (FAIMI/EPIMI@MICCAI, 2024)

Performance Evaluation of an Open Source Implementation of a 5G Standalone Platform. - Jan Erik Håkegård; Henrik Lundkvist; Ashish Rauniyar; Peter Morris (IEEE Access, 2024)

Ethical Framework for Responsible Foundational Models in Medical Imaging. - Abhijit Das; Debesh Jha; Jasmer Sanjotra; Onkar Susladkar; Suramyaa Sarkar; Ashish Rauniyar; Nikhil Kumar Tomar; Vanshali Sharma; Ulas Bagci (CoRR, 2024)

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård; Ulas Bagci; Danda B. Rawat; Vladimir Vlassov (IEEE Internet Things J., 2024)