Results 131 to 140 of about 3,304,290 (287)

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

A stochastic differential game between two hybrid pension fund managers under a jump-diffusion liability process

Frontiers in Applied Mathematics and Statistics
BackgroundHybrid defined contribution (DC) pension funds, combining fixed contributions with stochastic liability dynamics, face competitive pressures when members reallocate contributions to higher-performing funds.MethodsWe model two competing hybrid ...
Oteng Keganneng, Eriyoti Chikodza, Othusitse Basimanebotlhe   +2 more
doaj   +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

Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach. [PDF]

Wirel Pers Commun, 2016
Hu J, Qian Q, Fang A, Wu S, Xie Y.
europepmc   +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

Performance Measures, Discretionary Accruals, and CEO Cash Compensation

Journal of Corporate Accounting &Finance, EarlyView.
ABSTRACT This paper examines the relative weights assigned to three performance measures—stock returns, accounting earnings, and operating cash flows—in determining executive cash compensation. We find that returns receive the highest weight, followed by earnings, while cash flows carry the least weight.
Ya Dai, Harrison Liu, Jennifer Yin
wiley   +1 more source

A Framework for Subgroup Dynamics Through the System Dynamics Lens: An Integrative Review of the Attribute and the Network Views

Journal of Organizational Behavior, EarlyView.
ABSTRACT Subgroups are dynamic entities evolving constantly in response to changing contexts and time. Although scholars from both the attribute and the network views have acknowledged that subgroups are inherently complex and fluid, research in these traditions has remained bifurcated, with limited efforts to integrate the two perspectives to more ...
Jinhee Moon, Chunghyun Oh, Chou‐Yu Tsai, Semin Park   +3 more
wiley   +1 more source

Looking at Soil as It Is: Evolution of Microscopic Soil Characterization From Kubiëna to Artificial Intelligence

Journal of Plant Nutrition and Soil Science, EarlyView.
We provide a historic overview of microscopic soil structure characterization from its founding father, Walter Kubiëna, to several technical revolutions like automation, digitalization, and artificial intelligence. In addition to technical advancements, we explore how concepts and research questions have evolved in time.
Steffen Schlüter, Maik Geers‐Lucas, Peter Kühn, Hans‐Jörg Vogel   +3 more
wiley   +1 more source