Results 101 to 110 of about 6,479 (185)

The Geography of Mediterranean Benthic Communities Under Climate Change

Global Change Biology, Volume 32, Issue 2, February 2026.
We employed Species Distribution Models with environmental variables from state of the art physical and biogeochemical marine models and a large database of species records to project the current and future distributions of ~350 benthic species in the Mediterranean Sea.
Damiano Baldan, Yohann Chauvier‐Mendes, Diego Panzeri, Gianpiero Cossarini, Cosimo Solidoro, Vinko Bandelj   +5 more
wiley   +1 more source

When Good Fit Goes Bad: Identifying and Minimising Overfitting in Ecological Niche Models

Journal of Biogeography, Volume 53, Issue 2, February 2026.
ABSTRACT Aim To synthesise current understanding of overfitting as a pervasive and often underdiagnosed problem in correlative ecological niche models (ENMs), and to assess its consequences for model interpretation, generalisation and transferability under contemporary data and methodological practices. Location Worldwide.
Diana Sousa‐Guedes, A. Márcia Barbosa, Salvador Arenas‐Castro, João C. Campos, Neftalí Sillero   +4 more
wiley   +1 more source

Safe Listening Beliefs, Attitudes, and Practices Among Gamers and Esports Participants: International Web-Based Survey. [PDF]

JMIR Form Res
Diviani N, Chadha S, Mulas P, Rubinelli S.   +3 more
europepmc   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Using fuzzy logic and mathematical models to predict the financial efficiency of industrial enterprises. [PDF]

PLoS One
Dong Y.
europepmc   +1 more source

Modeling Uncertainty With Engression: A Deep Generative Time‐Series Approach

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Deep learning enables precise environmental predictions across spatial and temporal scales. However, reliable uncertainty estimation with generative capabilities remains crucial for actionable forecasting and simulation, yet robust quantification methods remain challenging.
Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson   +6 more
wiley   +1 more source

Assessing Occupational Work-Related Stress and Anxiety of Healthcare Staff During COVID-19 Using Fuzzy Natural Language-Based Association Rule Mining. [PDF]

Healthcare (Basel)
Alkabaa AS, Taylan O, Alqabbaa HS, Guloglu B.   +3 more
europepmc   +1 more source

OAC Explorer: Interactive exploration and comparison of multivariate socioeconomic population characteristics [PDF]

, 2010
Dykes, J., Radburn, R., Slingsby, A., Wood, J.   +3 more
core  

Grade Discrimination of Dried Seaweed by Fuzzy Image Measured Data and Multivariate Analysis

Journal of Japan Society for Fuzzy Theory and Systems, 1994
Xia MAO, Itsuya MUTA, Tsutomu HOSHINO
openaire   +1 more source

ENSO‐CausalNet: Integrating Causal Inference Into Deep Learning for Robust ENSO Prediction

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Climate mode interactions are inherently causal. While deep learning excels at climate prediction, particularly for El Niño‐Southern Oscillation (ENSO), its interpretability remains limited to validating known correlations. Here we propose a paradigm integrating causal inference into data‐driven modeling to enable predictions based on genuine ...
Yuehan Cui, Bin Mu, Shijin Yuan, Bo Qin
wiley   +1 more source