Results 261 to 270 of about 14,330 (285)

MaxEnt Dreamer: Maximum Entropy Reinforcement Learning with World Model

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Hongying Ma, Wuyang Xue, Rendong Ying, Peilin Liu   +3 more
openaire   +1 more source

Potential geographical distribution and its multi-factor analysis of Pinus massoniana in China based on the maxent model

Ecological Indicators, 2023
Yunlin He, Jiangming Ma, Guangsheng Chen   +2 more
exaly  

Application of the MaxEnt model in improving the accuracy of ecological red line identification: A case study of Zhanjiang, China

Ecological Indicators, 2022
Yiming Liu
exaly  

Evaluation of environmental factors affecting the quality of Codonopsis pilosula based on chromatographic fingerprint and MaxEnt model

Industrial Crops and Products, 2021
Guang-Zhen Wan, Ling Jin
exaly  

Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China

Science of the Total Environment, 2022
Nengwen Xiao
exaly  

Maxent modelling for predicting the potential distribution of Thai Palms

2011
Increasingly species distribution models are being used to address questions related to ecology, biogeography and species conservation on global and regional scales. We used the maximum entropy approach implemented in the MAXENT programme to build a habitat suitability model for Thai palms based on presence data.
Tovaranonte, Jantrararuk, Barfod, Anders S., Overgaard, Anne Blach; id_orcid 0000-0002-0200-1547, Svenning, J.-C.; id_orcid 0000-0002-3415-0862   +3 more
openaire   +1 more source

Evaluation of climate factors affecting the quality of red huajiao (Zanthoxylum bungeanum maxim.) based on UPLC-MS/MS and MaxEnt model

Food Chemistry: X, 2022
Tao Zheng, Yuanjie Deng
exaly  

Maxent Models

2017
openaire   +1 more source

Maxent Models

2011
openaire   +1 more source

A SD-MaxEnt-CA model for simulating the landscape dynamic of natural ecosystem by considering socio-economic and natural impacts

Ecological Modelling, 2019
Jianbo Tan, Ainong Li, Guangbin Lei
exaly