Search Results for author:
Found 5 papers, 0 papers with code
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles
With an increase in AoI, incremental service aggregation issues are observed with out-of-sequence information updates, which hampers the performance of low-latency applications in CAVs.
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
We anticipate that DeepEn2023 will improve transparency in sustainability in on-device deep learning across a range of edge AI systems and applications.
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in power and energy consumption within deep learning across various edge devices.
An FPGA-Based Semi-Automated Traffic Control System Using Verilog HDL
Traffic Congestion is one of the severe problems in heavily populated countries like Bangladesh where Automated Traffic Control System needs to be implemented.
EPAM: A Predictive Energy Model for Mobile AI
Predicting the energy consumption of these models, along with their different applications, such as vision and non-vision, requires a thorough investigation of their behavior using various processing sources.
