# Optimizing Task Completion Rate in Multi-user Edge Intelligence Networks Through Neural Network-Based Energy Management with Partitioning and Offloading

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimizing-task-completion-rate-in-multi-user-edge-intelligence-networks-through/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kotha Harish Kumar,Vadapally Praveen Kumar,Daithala Sreedhar,Nandigama Sathish,J. Phani Prasad |
| Citations | 0 |
| DOI | 10.1007/978-3-031-64076-6_5 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4401380574 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [J. Phani Prasad](https://scholariq.org/researchers/j-phani-prasad/)

## Paper journal

- [Communications in computer and information science](https://scholariq.org/journals/communications-in-computer-and-information-science/)

## Paper primary topic

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

## Paper topics

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Age of Information Optimization](https://scholariq.org/topics/age-of-information-optimization/)
- [Internet of Things and AI](https://scholariq.org/topics/internet-of-things-and-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.