Results 121 to 130 of about 2,620,970 (281)

From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases

Ecography, EarlyView.
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley   +1 more source

A MAXIMUM PRINCIPLE FOR STOCHASTIC DIFFERENTIAL GAMES WITH PARTIAL INFORMATION [PDF]

, 2007
In this paper we first deal with the problem of optimal control for zero-sum stochastic differential games. We give a necessary and sufficient maximum principle for that problem with partial information.
Øksendal, Bernt, Ta, An Thi Kieu
core  

Disentangling the interactive effects of anthropogenic disturbances on biodiversity

Ecography, EarlyView.
Anthropogenic activity threatens biodiversity through climate change, habitat fragmentation, and increasing frequency and scale of disturbance. Various theoretical studies have sought to shed light on how these factors could promote or hinder the coexistence of species. However, our understanding of the relative importance of, and interactions between,
Isaac Planas‐Sitjà, Ryosuke Iritani, Adam L. Cronin   +2 more
wiley   +1 more source

A Nucleolus for Stochastic Cooperative Games [PDF]

This paper extends the definition of the nucleolus to stochastic cooperative games, that is, to cooperative games with random payoffs to the coalitions.
Suijs, J.P.M.
core  

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Explainable and Uncertainty‐Aware Neural Modeling of Industrial CO2 Emissions With Economic, Energy, and Institutional Interaction Dynamics

Energy Science &Engineering, EarlyView.
A global panel of 5138 country–year observations from 165 countries (1990–2024) integrates industrial CO2 emissions, economic structure, renewable‐energy use, and institutional indicators. A dual‐input neural network combines engineered numeric features with learned country embeddings to forecast industrial CO2 emissions under rolling‐origin temporal ...
Syed Azeem Inam, Saddam Umer, Hashir Shaikh, Amal K. Alkhalifa   +3 more
wiley   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

The Impact of Economic Growth on Insurance (Growth)

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the impact of economic growth on insurance (growth), focusing on the outflow side of the insurance activity, as captured by benefits (including commissions and expenses). The findings provide evidence that economic growth does exert a positive, statistically significant impact on the benefit side of insurance (growth ...
Nicholas Apergis, Thomas Poufinas, Panagiotis Kimpouropoulos   +2 more
wiley   +1 more source

Artificial intelligence‐driven bioinformatics: From analytical pipelines to model‐centered biological discovery

iMetaOmics, EarlyView.
AI‐driven bioinformatics is best viewed as an emerging model‐centered discovery framework in which learned representations increasingly support prediction, intervention design, and workflow orchestration, while classical pipelines remain essential for validation and reproducibility.
Songming Chen, Wei Zhang, Luohuan Dai, Zujian Xiong, Sicen Lai, Haitao Xu, Jia Gu, Kang Peng, Nian Jiang, Hongwei Liu, Xuejun Li   +10 more
wiley   +1 more source