A review on path planning and obstacle avoidance algorithms for autonomous mobile robots
Mobile robots have been widely used in various sectors in the last decade. A mobile robot
could autonomously navigate in any environment, both static and dynamic. As a result …
could autonomously navigate in any environment, both static and dynamic. As a result …
Shortest path problem in fuzzy, intuitionistic fuzzy and neutrosophic environment: an overview
In the last decade, concealed by uncertain atmosphere, many algorithms have been studied
deeply to workout the shortest path problem. In this paper, we compared the shortest path …
deeply to workout the shortest path problem. In this paper, we compared the shortest path …
NMCDA: A framework for evaluating cloud computing services
Many organizations are currently seeking to contract services from cloud computing rather
than owing the possessions to supply those services. Due to the fast expansion of cloud …
than owing the possessions to supply those services. Due to the fast expansion of cloud …
Distributed blockchain-based trusted multidomain collaboration for mobile edge computing in 5G and beyond
Mobile edge computing (MEC) sinks computing power to the edge of networks and
integrates mobile access networks and Internet services in 5G and beyond. With the …
integrates mobile access networks and Internet services in 5G and beyond. With the …
Multi-criteria group decision making based on neutrosophic analytic hierarchy process
The main objective of this research is to give an overview of the Analytic Hierarchy Process
(AHP) in neutrosophic environment. In some realistic situations, the decision makers might …
(AHP) in neutrosophic environment. In some realistic situations, the decision makers might …
AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET
The flying ad-hoc network (FANET) is a decentralized communication network for the
unmanned aerial vehicles (UAVs). Because of the wireless nature and the unique network …
unmanned aerial vehicles (UAVs). Because of the wireless nature and the unique network …
Charging scheduling strategy for different electric vehicles with optimization for convenience of drivers, performance of transport system and distribution network
With the popularization of electric vehicles, large-scale electric vehicle charging may
negatively impact drivers, the power grid, and traffic conditions. Currently, research …
negatively impact drivers, the power grid, and traffic conditions. Currently, research …
Path planning for unmanned surface vehicle based on predictive artificial potential field
The path planning for high-speed unmanned surface vehicle raises more complicated
requirements to reduce sailing time and save energy. In this article, a new predictive artificial …
requirements to reduce sailing time and save energy. In this article, a new predictive artificial …
Shortest path problem using Bellman algorithm under neutrosophic environment
An elongation of the single-valued neutrosophic set is an interval-valued neutrosophic set. It
has been demonstrated to deal indeterminacy in a decision-making problem. Real-world …
has been demonstrated to deal indeterminacy in a decision-making problem. Real-world …
A survey on hybrid human-artificial intelligence for autonomous driving
With the continuous development of Artificial Intelligence (AI), autonomous driving has
become a popular research area. AI enables the autonomous driving system to make a …
become a popular research area. AI enables the autonomous driving system to make a …