Results 71 to 80 of about 40,915 (303)

Evaluation of multi-hazard map produced using MaxEnt machine learning technique

open access: yesScientific Reports, 2021
Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems.
N. Javidan   +5 more
semanticscholar   +1 more source

Back to the Future: Economic Self-Organisation and Maximum Entropy Prediction [PDF]

open access: yes, 2014
This paper shows that signal restoration methodology is appropriate for predicting the equilibrium state of certain economic systems. A formal justification for this is provided by proving the existence of finite improvement paths in object allocation
Barde, Sylvain
core   +1 more source

MAXENT and the Tsallis Parameter

open access: yes, 2014
The nonextensive entropic measure proposed by Tsallis introduces a parameter, q, which is not defined but rather must be determined. The value of q is typically determined from a piece of data and then fixed over the range of interest. On the other hand, from a phenomenological viewpoint, there are instances in which q cannot be treated as a constant ...
Conroy, J. M., Miller, H. G.
openaire   +2 more sources

Chinese High Resolution Satellite Data and GIS-Based Assessment of Landslide Susceptibility along Highway G30 in Guozigou Valley Using Logistic Regression and MaxEnt Model

open access: yesRemote Sensing, 2022
Landslide disasters frequently occur along the highway G30 in the Guozigou Valley, the corridor of energy, material, economic and cultural exchange, etc., between Yili and other cities of China and Central Asia. However, little attention has been paid to
Y. Liu   +4 more
semanticscholar   +1 more source

A zoogeographic model for the evolution of diversity and endemism in Madagascar

open access: yesEcography, EarlyView.
The delineation of zoogeographic regions is essential for understanding the evolution of biodiversity. Madagascar, characterized by high levels of endemism and habitat diversity, presents unique challenges and opportunities for such studies. Traditional global zoogeographic classifications, largely based on vertebrates, may overlook finer‐scale ...
Gabriela P. Camacho   +3 more
wiley   +1 more source

Predicting the Invasion Potential of the Lily Leaf Beetle, Lilioceris lilii Scopoli (Coleoptera: Chrysomelidae), in North America

open access: yesInsects, 2020
Invasive species are among the leading threats to global ecosystems due to impacts on native flora and fauna through competition and predation. The lily leaf beetle, Lilioceris lilii Scopoli (Coleoptera: Chrysomelidae), is an invasive pest of lilies ...
Maggie Freeman   +3 more
doaj   +1 more source

Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability

open access: yesLand, 2022
Given the impact that climate change is projected to have on agriculture, it is essential to understand the mechanisms and conditions that drive agricultural land suitability.
Abigail Fitzgibbon   +2 more
semanticscholar   +1 more source

Reviewing and benchmarking ecological modelling practices in the context of land use

open access: yesEcography, EarlyView.
Despite habitat loss and degradation are the primary drivers of biodiversity loss, different conclusions have been drawn about the importance of land‐use or land‐cover (LULC) change for biodiversity. Differences may be due to the difficulty of framing a coherent model design to assess LULC effects.
Elie Gaget   +6 more
wiley   +1 more source

Diversity and distribution of orchids of Goa, Western Ghats, India

open access: yesJournal of Threatened Taxa, 2019
The Botanical Survey of India launched a pilot project during 2015–2017 on exploration of orchids of Goa State covering all the protected areas.  A total of 68 orchid species belonging to 28 genera were documented of which 42 are epiphytic and 26 are ...
Jeewan Singh Jalal
doaj   +1 more source

Task Transfer by Preference-Based Cost Learning

open access: yes, 2019
The goal of task transfer in reinforcement learning is migrating the action policy of an agent to the target task from the source task. Given their successes on robotic action planning, current methods mostly rely on two requirements: exactly-relevant ...
Huang, Wenbing   +4 more
core   +1 more source

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