From forest to finished products: The contribution of Industry 4.0 technologies to the wood sector

M Molinaro, G Orzes - Computers in Industry, 2022 - Elsevier
This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …

An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study

J Zhang, J Zhu, P Dang, J Wu, Y Zhou… - … Journal of Digital …, 2023 - Taylor & Francis
Crowd evacuation simulation using virtual reality (VR) is significant for digital emergency
response construction. However, existing evacuation simulation studies suffer from poor …

Decision support system development of wildland fire: a systematic mapping

F Vásquez, A Cravero, M Castro, P Acevedo - Forests, 2021 - mdpi.com
Wildland fires have been a rising problem on the worldwide level, generating ecological and
economic losses. Specifically, between wildland fire types, uncontrolled fires are critical due …

[HTML][HTML] Revisiting spatial optimization in the era of geospatial big data and GeoAI

K Cao, C Zhou, R Church, X Li, W Li - International Journal of Applied Earth …, 2024 - Elsevier
Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …

Adaptive forest fire spread simulation algorithm based on cellular automata

L Sun, C Xu, Y He, Y Zhao, Y Xu, X Rui, H Xu - Forests, 2021 - mdpi.com
The popular simulation process that uses traditional cellular automata with a fixed time step
to simulate forest fire spread may be limited in its ability to reflect the characteristics of actual …

Predicting subjective measures of walkability index from objective measures using artificial neural networks

AS Yameqani, AA Alesheikh - Sustainable cities and society, 2019 - Elsevier
Increasing urbanization has been one of the most significant concerns of urban managers.
The role of non-motorized transportation in sustainable urban development is vitally …

Investigation of the likelihood of green infrastructure (GI) enhancement along linear waterways or on derelict sites (DS) using machine learning

SM Labib - Environmental Modelling & Software, 2019 - Elsevier
Studies evaluating the potential for green infrastructure (GI) development using traditional
Boolean logic-based multi-criteria analysis methods are not capable of predicting future GI …

Spatial estimation of wind speed: a new integrative model using inverse distance weighting and power law

E Ozelkan, G Chen, BB Ustundag - International Journal of Digital …, 2016 - Taylor & Francis
Spatial interpolation (SI) is currently one of the most common ways to estimate wind speed
(Ws). However, classic SI models either ignore the complex geography [eg inverse distance …

Spatial prediction of human brucellosis (HB) using a GIS-based adaptive neuro-fuzzy inference system (ANFIS)

E Babaie, AA Alesheikh, M Tabasi - Acta Tropica, 2021 - Elsevier
Objective This study pursues three main objectives: 1) exploring the spatial distribution
patterns of human brucellosis (HB); 2) identifying parameters affecting the disease spread; …

A Forest Fire Prediction Model Based on Cellular Automata and Machine Learning

X Sun, N Li, D Chen, G Chen, C Sun, M Shi… - IEEE …, 2024 - ieeexplore.ieee.org
Forest fires constitute a widespread and impactful natural disaster, annually ravaging
millions of hectares of forests and posing a severe threat to human life and property …