Results 91 to 100 of about 740 (263)

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

A systematic review evaluating the performance of eDNA methods relative to conventional methods for biodiversity monitoring

Ecography, EarlyView.
The rapid adoption of environmental DNA (eDNA) methods has drastically changed biodiversity monitoring efforts. It is often claimed that eDNA methods are more sensitive and efficient than conventional biodiversity monitoring methods, but it is often unclear what metrics support this claim.
Nicholas J. Iacaruso, Olivia P. Reves, Sara J. Merkelz, Cassidy L. Waldrep, Mark A. Davis   +4 more
wiley   +1 more source

Lower Bounds for the Integrated and Minimax Risks in Intrinsic Statistical Estimation: A Geometric Approach

Mathematics
In parametric statistics, it is well established that the canonical measures of estimator performance—such as bias, variance, and mean squared error—are inherently dependent on the parameterization of the model.
José Manuel Corcuera, José María Oller   +1 more
doaj   +1 more source

Do Institutions Make Street‐Level Bureaucrats Prosocial? Agent‐Based Evidence Shows That New Public Management Does Not

European Policy Analysis, EarlyView.
ABSTRACT Does street‐level bureaucrats' (SLBs) willingness to sacrifice their own self‐interests to meet the needs of their clients vary depending on their contexts? To date, it has been very challenging to empirically examine how SLBs who have different orientations toward social values might act in different institutional and administrative contexts.
Nissim Cohen, Teddy Lazebnik
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

The Impact of Resource Endowment and Digital Transformation on the Efficiency of Energy Transition

Energy Science &Engineering, EarlyView.
Resource endowment has a significant positive direct effect and a stronger spatial spillover effect on ETE, while digital transformation can improve local efficiency but has some negative spillover effects on neighboring regions. ABSTRACT In contemporary society, improving energy transition efficiency (ETE) has become a necessary measure to ensure the ...
Junding Yang, Yanfeng Guan, Rong Wang, Tong Zhao, Guilan Huang, Ming Ding   +5 more
wiley   +1 more source

Painleve-Kuratowski Convergences for the Solution Sets of Set-Valued Weak Vector Variational Inequalities

Journal of Inequalities and Applications, 2008
Painleve-Kuratowski convergence of the solution sets is investigated for the perturbed set-valued weak vector variational inequalities with a sequence of mappings converging continuously.
Teo KL, Fang ZM, Li SJ
doaj  

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Solid Biofuel Usage and Households' Behavior Toward Energy Choice in Northwest Ethiopia

Energy Science &Engineering, EarlyView.
This study analyzed household energy choice behavior in northwest Ethiopia using an integrated energy stacking and decision‐making framework. Evidence shows dominant reliance on solid biomass and a fuel‐stacking pattern, while urban residences, higher income, and education increase clean energy adoption, highlighting the need for pro‐poor, context ...
Habtamu Setargachew Molla, Zemen Ayalew Ayele, Essa Chanie Mussa, Marelign Adugna Mesele   +3 more
wiley   +1 more source