Adarsh Prasad Behera

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Data Visualization

Real World Application Domains

Resource Constrained

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Adarsh Prasad Behera, Paulius Daubaris, Iñaki Bravo, José Gallego, Roberto Morabito, Joerg Widmer, Jaya Prakash Varma Champati
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical. CoRR (2024)
Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer, Jaya Prakash Champati
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices. CoRR (2024)
Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati
The Case for Hierarchical Deep Learning Inference at the Network Edge. CoRR (2023)
Adarsh Prasad Behera, Puja Rani, Shekhar Verma, Manish Kumar
Curvature Regularized Similarity Based Ricci Flow Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Shivangi Nigam, Adarsh Prasad Behera, Manas Gogoi, Shekhar Verma, P. Nagabhushan
Strike off removal in Indic scripts with transfer learning. Neural Comput. Appl. 35 (17) (2023)
Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati
The Case for Hierarchical Deep Learning Inference at the Network Edge. NetAISys@MobiSys (2023)
Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer, Jaya Prakash Champati
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices. MobiCom (2023)
Adarsh Prasad Behera, Jagriti Singh, Shekhar Verma, Manish Kumar
Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding. Multim. Tools Appl. 81 (11) (2022)
Adarsh Prasad Behera, Sayli Godage, Shekhar Verma, Manish Kumar
Regularized Deep Convolutional Generative Adversarial Network. CVIP (3) (2020)