An intelligent task scheduling mechanism for autonomous vehicles via deep learning
G Balasekaran, S Jayakumar, R Pérez de Prado - Energies, 2021 - mdpi.com
With the rapid development of the Internet of Things (IoT) and artificial intelligence,
autonomous vehicles have received much attention in recent years. Safe driving is one of …
autonomous vehicles have received much attention in recent years. Safe driving is one of …
Task allocation among connected devices: Requirements, approaches, and challenges
Task allocation (TA) is essential when deploying application tasks to systems of connected
devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to …
devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to …
Application and Challenges of IoT Healthcare System in COVID-19
The importance of the IoT is increasing in every field of life, and it especially has a significant
role in improving the efficiency of the healthcare system. Its demand further increased during …
role in improving the efficiency of the healthcare system. Its demand further increased during …
A criticality-aware dynamic task scheduling mechanism for efficient resource load balancing in constrained smart manufacturing environment
Smart factory is an exemplification of the Industrial Internet of Things (IIoT), connecting
devices to expedite the production process and delivery of customized products. Today's …
devices to expedite the production process and delivery of customized products. Today's …
Improved control scheduling based on learning to prediction mechanism for efficient machine maintenance in smart factory
The prediction mechanism is very crucial in a smart factory as they widely help in improving
the product quality and customer's experience based on learnings from past trends. The …
the product quality and customer's experience based on learnings from past trends. The …
Improvement of safety in road environment by designing an advanced driver assistance system
VG Krishnan, PV Rao… - 2022 International …, 2022 - ieeexplore.ieee.org
As driver assistance systems (DAS) become more widely used in automobiles over the last
few decades, the quality of driving has improved as a result. It is essential to customize …
few decades, the quality of driving has improved as a result. It is essential to customize …
Real-time communication model for IoT systems
S Deniziak, M Płaza, Ł Arcab - 2023 18th Conference on …, 2023 - ieeexplore.ieee.org
Internet of Things solutions typically involve interaction between sensors, actuators, the
cloud, embedded systems and user applications. Often in such cases, there are time …
cloud, embedded systems and user applications. Often in such cases, there are time …
Selfish routing game-based multi-resource allocation and fair scheduling of indivisible jobs in edge environments
Distributed and heterogeneous edge computing environments require efficient allocation
and scheduling of multiple users' applications. This paper presents a game-theoretic …
and scheduling of multiple users' applications. This paper presents a game-theoretic …
INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip
The performance and energy efficiency potential of heterogeneous architectures has fueled
domain-specific systems-on-chip (DSSoCs) that integrate general-purpose and domain …
domain-specific systems-on-chip (DSSoCs) that integrate general-purpose and domain …
[PDF][PDF] A flexible scheduling architecture of resource distribution proposal for autonomous driving platforms
Autonomous driving has attracted a significant amount of attentions over the last ten years.
Providing a flexible platform to schedule the executions of the tasks under hard real-time …
Providing a flexible platform to schedule the executions of the tasks under hard real-time …