π-light: Programmatic interpretable reinforcement learning for resource-limited traffic signal control
The recent advancements in Deep Reinforcement Learning (DRL) have significantly
enhanced the performance of adaptive Traffic Signal Control (TSC). However, DRL policies …
enhanced the performance of adaptive Traffic Signal Control (TSC). However, DRL policies …
AutoML for on-sensor tiny machine learning
M Chowdhary, D Lilienthal, SS Saha… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Sensors with embedded machine learning core (MLC) ena-ble ultra-low-power, low latency,
and intelligent inferences at the extreme edge. However, deploying performant machine …
and intelligent inferences at the extreme edge. However, deploying performant machine …
Design of Tiny Contrastive Learning Network with Noise Tolerance for Unauthorized Device Identification in Internet of UAVs
T Zhang, D Xu, O Alfarraj, K Yu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Artificial intelligence enhanced Internet of unmanned aerial vehicles (UAVs) is a promising
network to achieve the complicated vehicular tasks and construct intelligent communication …
network to achieve the complicated vehicular tasks and construct intelligent communication …
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
On-device learning has emerged as a prevailing trend that avoids the slow response time
and costly communication of cloud-based learning. The ability to learn continuously and …
and costly communication of cloud-based learning. The ability to learn continuously and …
Intelligence Beyond the Edge using Hyperdimensional Computing
On-device learning has emerged as a prevailing trend that avoids the slow response time
and costly communication of cloud-based learning. The ability to learn continuously and …
and costly communication of cloud-based learning. The ability to learn continuously and …
[图书][B] Physics-Aware Tiny Machine Learning
SS Saha - 2023 - search.proquest.com
Tiny machine learning has enabled Internet of Things platforms to make intelligent
inferences for time-critical and remote applications from unstructured data. However …
inferences for time-critical and remote applications from unstructured data. However …