Results 41 to 50 of about 14,330 (285)
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
, 2020 Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
Luyan Tang (8677047) +4 more
core +1 more source
American Journal of Botany, EarlyView.Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang +3 more
wiley +1 more source
AnimalsThis study examines the landscape characteristics of high-suitability habitats for the Black-tailed Godwit (Limosa limosa) during the non-breeding season in inland and coastal wetlands of the middle and lower Yangtze River regions, and seeks to elucidate
Zeng Jiang, Mingqin Shao
doaj +1 more source
SPECIES DISTRIBUTION MODELLING OF TWO SPECIES ENDEMIC TO THE PHILIPPINES TO SHOW THE APPLICABILITY OF MAXENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Maxent is a machine learning model used for species distribution modelling (SDM) that is rising in popularity. As with any species distribution model, it needs to be validated for certain species before being used to generate insights and trusted ...
M. Z. G. Untalan +2 more
doaj +1 more source
Developing a macroecology for human‐altered ecosystems
Ecography, EarlyView.Although anthropogenically‐induced ecological disruptions are fundamentally important in defining ecosystem properties, they are largely overlooked by macroecological theory. Anthropogenic disruptions and their effects are generally not comparable to one another, nor to disturbances that are part of natural disturbance regimes.
Erica A. Newman +7 more
wiley +1 more source
Distribution modelling by MaxEnt: from black box to flexible toolbox
, 2016 The easier access to increasingly powerful computational approaches and tools in the field of distribution modelling, has contributed to a proliferation of data, applications, practitioners, guidelines, and novel theoretical understandings.
Mazzoni, Sabrina
core +1 more source
Ecography, EarlyView.Understanding how environmental variability structures essential fish habitat (EFH) is central to managing keystone populations in dynamic marine ecosystems. Using nearly three decades of standardized survey data (1994–2021) from the Adriatic Sea, we present the first basin‐scale, process‐based framework linking estimated habitat suitability and ...
Mahallelah Shauer +9 more
wiley +1 more source
Ecography, EarlyView.Spatial sampling bias in occurrence data can generate spurious environmental associations in models of species distributions and ecological niches, and can also undermine inferences based on permutation tests made using these models. Geographic randomization tests are often used to generate distributions of expected behavior under the null hypothesis ...
Dan L. Warren +4 more
wiley +1 more source