Combustion machine learning: Principles, progress and prospects

M Ihme, WT Chung, AA Mishra - Progress in Energy and Combustion …, 2022 - Elsevier
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

The acceptance of using information technology for disaster risk management: A systematic review

K Meechang, N Leelawat, J Tang, A Kodaka… - Engineering …, 2020 - engj.org
The numbers of natural disaster events are continuously affecting human and the world
economics. For coping with disaster, several sectors try to develop the frameworks, systems …

Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems

MS Innocente, P Grasso - Journal of Computational Science, 2019 - Elsevier
Swarm intelligence (SI) is concerned with the collective behaviour that emerges from
decentralised self-organising systems, whilst swarm robotics (SR) is an approach to the self …

Forest fire spread simulating model using cellular automaton with extreme learning machine

Z Zheng, W Huang, S Li, Y Zeng - Ecological Modelling, 2017 - Elsevier
The quantitative simulation of forest fire spreading plays an essential role in designing quick
risk management and implementing effective suppression policies. As a preferable …

Communication aware UAV swarm surveillance based on hierarchical architecture

C Xu, K Zhang, Y Jiang, S Niu, T Yang, H Song - Drones, 2021 - mdpi.com
Multi-agent unmanned aerial vehicle (UAV) teaming becomes an essential part in science
mission, modern warfare surveillance, and disaster rescuing. This paper proposes a …

Field programmable gate array applications—A scientometric review

J Ruiz-Rosero, G Ramirez-Gonzalez, R Khanna - Computation, 2019 - mdpi.com
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

A survey on systematic approaches in managing forest fires

A Dhall, A Dhasade, A Nalwade, MR VK, V Kulkarni - Applied geography, 2020 - Elsevier
Natural disastrous events are part and parcel of our times and do occur when we least
expect it to strike us. Disasters which take place in the vicinity of human livelihood due to …

Modeling forest fire spread using machine learning-based cellular automata in a GIS environment

Y Xu, D Li, H Ma, R Lin, F Zhang - Forests, 2022 - mdpi.com
The quantitative simulation of forest fire spread is of great significance for designing rapid
risk management approaches and implementing effective fire fighting strategies. A cellular …

Simulating intraurban land use dynamics under multiple scenarios based on fuzzy cellular automata: a case study of Jinzhou district, Dalian

J Yang, W Liu, Y Li, X Li, Q Ge - Complexity, 2018 - Wiley Online Library
The spatial evolution of land use in Jinzhou area was simulated using fuzzy cellular
automata to determine all factors influencing urban land use change. For this purpose, land …

Accelerating fuzzy cellular automata for modeling crowd dynamics

I Gerakakis, P Gavriilidis, NI Dourvas… - Journal of …, 2019 - Elsevier
Pedestrian and crowd dynamics are physical phenomena that are fundamentally
characterized by non-linear complexity. In the same time, the need of modern way of living …