Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods
D De Clercq, A Mahdi - Computers and Electronics in Agriculture, 2025 - Elsevier
Context: Rice is a critical food source for over half the global population, making yield
forecasting important for food security and agricultural planning. Advances in statistical …
forecasting important for food security and agricultural planning. Advances in statistical …
A stochastic programming model for emergency supplies pre-positioning, transshipment and procurement in a regional healthcare coalition
A regional healthcare coalition enables its member hospitals to conduct an integrated
emergency supply management, which is seldom addressed in the existing literature. In this …
emergency supply management, which is seldom addressed in the existing literature. In this …
A heuristic-based simulated annealing algorithm for the scheduling of relief teams in natural disasters
Natural disasters cause heavy casualties and financial losses annually. To reduce these
damages, the rescue teams need to be planned effectively. In this regard, in this research, a …
damages, the rescue teams need to be planned effectively. In this regard, in this research, a …
Review on intelligent pipeline technologies: A life cycle perspective
The pipeline is one of the important carriers in the petroleum industry, but facing with the
development bottlenecks of low efficiency, high cost and high decision risk. With machine …
development bottlenecks of low efficiency, high cost and high decision risk. With machine …
A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling
Y Xu, X Li, Q Li - Applied Soft Computing, 2023 - Elsevier
The allocation and scheduling of the emergency rescue forces is a fundamental task in
emergency management. This paper aims to address the allocation and scheduling problem …
emergency management. This paper aims to address the allocation and scheduling problem …
A globalized robust optimization method for sustainable humanitarian relief network design with uncertain scenario probabilities
Z Wang, Y Liu, W Li - Sustainable Cities and Society, 2023 - Elsevier
Disorganized treatment of casualties and irrational distribution of medical supplies pose
significant challenges to relief activities, and recent disasters have brought attention to the …
significant challenges to relief activities, and recent disasters have brought attention to the …
Optimising stochastic task allocation and scheduling plans for mission workers subject to learning-forgetting, fatigue-recovery, and stress-recovery effects
This study addresses the stochastic bi-objective task allocation and scheduling problems for
mission workers subject to the complex (and joint) effect of learning-forgetting, fatigue …
mission workers subject to the complex (and joint) effect of learning-forgetting, fatigue …
A fuzzy robust planning model in the disaster management response phase under precedence constraints
This study analyzes the rescue team assignment problem as a critical issue in disaster
management rescue operations. A mathematical model is proposed to minimize the total …
management rescue operations. A mathematical model is proposed to minimize the total …
Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach
Purpose This paper aims to address a location-distribution-routing problem for distributing
relief commodities during a disaster under uncertainty by creating a multi-stage model that …
relief commodities during a disaster under uncertainty by creating a multi-stage model that …