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Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.

P. Chennakesavula, J. Wu, and A. Ambikapathi. VTC2023-Spring, page 1-5. IEEE, (2023)

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Unsupervised Domain Adaptation via Domain-Adaptive Diffusion.D. Peng, Q. Ke, A. Ambikapathi, Y. Yazici, Y. Lei, and J. Liu. IEEE Trans. Image Process., (2024)H-Stegonet: A Hybrid Deep Learning Framework for Robust Steganalysis.S. Mondal, S. Yeo, and A. Ambikapathi. ICME, page 1-6. IEEE, (2021)Classification Representations Can be Reused for Downstream Generations.S. Gopalakrishnan, P. Singh, Y. Yazici, C. Foo, V. Chandrasekhar, and A. Ambikapathi. CoRR, (2020)Classify and generate: Using classification latent space representations for image generations.S. Gopalakrishnan, P. Singh, Y. Yazici, C. Foo, V. Chandrasekhar, and A. Ambikapathi. Neurocomputing, (2022)Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement.P. Singh, S. Gopalakrishnan, I. Mien, and A. Ambikapathi. ICIP, page 433-437. IEEE, (2020)Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.P. Chennakesavula, J. Wu, and A. Ambikapathi. VTC2023-Spring, page 1-5. IEEE, (2023)Online Continual Learning Using Enhanced Random Vector Functional Link Networks.C. Wong, G. Yang, A. Ambikapathi, and S. Ramasamy. ICASSP, page 1905-1909. IEEE, (2022)FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.R. Pahwa, V. Chandrasekhar, J. Chao, J. Paul, Y. Li, M. Nwe, S. Xie, A. James, A. Ambikapathi, and Z. Zeng. ITSC, page 559-566. IEEE, (2019)Investigating Robustness of Biological vs. Backprop Based Learning.Y. Zhou, M. Wang, M. Gupta, A. Ambikapathi, P. Suganthan, and S. Ramasamy. ICASSP, page 3533-3537. IEEE, (2022)HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning.M. Gupta, A. Ambikapathi, and S. Ramasamy. ICASSP, page 3115-3119. IEEE, (2021)

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Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.

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Disambiguation of "Ambikapathi, Arulmurugan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.

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Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.