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 …
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 …
response construction. However, existing evacuation simulation studies suffer from poor …
Decision support system development of wildland fire: a systematic mapping
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 …
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
Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …
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 …
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 …
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 …
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
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 …
(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)
Objective This study pursues three main objectives: 1) exploring the spatial distribution
patterns of human brucellosis (HB); 2) identifying parameters affecting the disease spread; …
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 …
millions of hectares of forests and posing a severe threat to human life and property …