Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach.
Niamat Ullah Ibne HossainNazmus SakibKannan GovindanPublished in: Expert Syst. Appl. (2022)
Keyphrases
- unmanned aerial vehicles
- bayesian networks
- distribution network
- logistics distribution
- path planning
- learning bayesian networks
- graphical models
- transportation systems
- distribution centers
- vehicle routing
- supply chain
- transportation problem
- supply chain management
- control algorithm
- probabilistic inference
- structural learning
- dynamic environments
- operational decisions
- probabilistic model
- conditional independence
- structure learning
- machine learning
- data mining
- vehicle routing problem
- conditional probabilities
- incomplete data
- intelligent systems
- probability distribution
- image analysis
- reinforcement learning
- decision making
- artificial intelligence
- aerial vehicles
- real time