Results 41 to 50 of about 4,450 (237)

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Geodesic Homotopies

, 2004
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Anthony Yezzi, MENNUCCI, Andrea Carlo Giuseppe   +1 more
openaire   +2 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri, Pia De Stefano, Laurent Spinelli, Renaud Marquis, Stanislas Lagarde, Shahan Momjian, Margitta Seeck, Serge Vulliemoz   +7 more
wiley   +1 more source

Path integrated geodesics and distances

European Physical Journal C: Particles and Fields
In this paper, the quantum corrections to the kinematics of geometry, specifically geodesics, are presented. This is done by employing the path integral over the geodesics.
Nima Khosravi
doaj   +1 more source

Scalp fast oscillations detected by high‐density EEG as a noninvasive predictor of surgical outcome in temporal lobe epilepsy with hippocampal sclerosis

Epilepsia Open, EarlyView.
Abstract Objective To evaluate whether scalp oscillatory patterns—particularly scalp fast oscillations (SFOs) (>30 Hz) detected using 256‐channel high‐density EEG (HD‐EEG)—are associated with and can predict surgical outcomes in patients with drug‐resistant temporal lobe epilepsy with hippocampal sclerosis (TLE‐HS) undergoing anterior temporal ...
Pongsakorn Kongsakorn, Suda Jirasakuldej, Peerasit Treesuthacheep, Totsapol Surawattanawong, Chusak Limotai   +4 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Connecting and Closed Geodesics of a Kropina Metric

Advanced Nonlinear Studies, 2021
We prove some results about existence of connecting and closed geodesics in a manifold endowed with a Kropina metric. These have applications to both null geodesics of spacetimes endowed with a null Killing vector field and Zermelo’s navigation problem ...
Caponio Erasmo, Giannoni Fabio, Masiello Antonio, Suhr Stefan   +3 more
doaj   +1 more source

Infant frontal alpha asymmetry predicts social attention and transdiagnostic risk for emotional reactivity

JCPP Advances, EarlyView.
Abstract Background Differences in Frontal Alpha Asymmetry (FAA), derived from the electroencephalogram (EEG), have been associated with approach‐withdrawal behavior, although inconsistently. The current study examined how early patterns of FAA during the first 2 years of life relate to various socioemotional characteristics (at 2 years) and ultimately
Viviane Valdes, Niccola Lutri, Haerin Chung, Charles A. Nelson   +3 more
wiley   +1 more source