Results 121 to 130 of about 6,836 (219)

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

Prediction of Bandgap and Key Feature Analysis of Lead-Free Double Perovskite Oxides Based on Deep Learning. [PDF]

Molecules
Wang B, Wang J.
europepmc   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

Fourier Kolmogorov-Arnold Network integrated into BioBERT-based model for Biomedical Named Entity Recognition. [PDF]

NPJ Digit Med
Yelin L, Yan W, Xiaojun X, Jihong Z, Lixin G, Mengshan L.   +5 more
europepmc   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Multimodal deep learning for cardiovascular disease detection using pulse wave and vocal signals: a prediction model development and validation study. [PDF]

BMC Med Inform Decis Mak
Lyu Y, Wu HM, Chen R, Hong J, Chen CF, Shi YJ, Wang YQ, Yan HX, Xu J.   +8 more
europepmc   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Prediction of ALK, EGFR and KRAS mutations in lung adenocarcinoma based on PET/CT radiomics by cluster and synthetic minority over-sampling technique. [PDF]

Medicine (Baltimore)
Tang C, Wang T, Liu Y, Chang P, Li Y, Xiong Y, Chen R, Chen Y, Wang R.   +8 more
europepmc   +1 more source

Examining the Directional Effects of Insomnia, Anxiety, and Depression Symptoms: Results From a Longitudinal Study Conducted During the COVID‐19 Pandemic

Journal of Clinical Psychology, EarlyView.
ABSTRACT Objectives While some research suggests that increases in anxiety symptoms drive changes in insomnia and depression symptoms, other studies support that these relations may be bidirectional. The present study therefore aimed to further examine how anxiety, insomnia and depression symptoms predict changes in these symptoms over time.
Jamie Walker, Ana J. Bridges, Alexandria Muench, Michael L. Perlis, Ivan Vargas   +4 more
wiley   +1 more source

A Multimodal Sensor-Based Self-Supervised Learning Framework for Low-Noise System State Prediction and Anomaly Detection. [PDF]

Sensors (Basel)
Guo K, Wang J, Lin J, Chen N, Chen H, Zhou Z, Li M.   +6 more
europepmc   +1 more source