Results 101 to 110 of about 15,562 (261)

EEG-Based Supported Diagnosis of ADHD Using Subject-Specific HMMs and Stationary RKHS Embeddings

Sensors
Electroencephalography (EEG) provides a non-invasive means of supporting Attention-Deficit/Hyperactivity Disorder (ADHD) assessment. Nonetheless, existing pipelines often rely on handcrafted descriptors, segment-wise decisions, or deep architectures with
Leonardo Lopez-Ortiz, Cristhian K. Valencia-Marin, Julián Gil-González, Paula M. Herrera-Gómez, David Cárdenas-Peña   +4 more
doaj   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

Robo‐Saber: Generating and Simulating Virtual Reality Players

Computer Graphics Forum, EarlyView.
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +1 more source

Measurement, dynamic evolution and pollution emission effects of the coupling of green finance and digital technology-evidence from China

Frontiers in Environmental Science
This study uses the game theory combination weighting method to measure the level of coordinated development of green finance and digital technology coupling in China.
Ke Liu, Ran Du, Bo Xu, Jiaxin He, Zhaoping Wang   +4 more
doaj   +1 more source

Edge‐preserving noise for diffusion models

Computer Graphics Forum, EarlyView.
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh   +3 more
wiley   +1 more source

SPDE-ETAS: Fast and accurate Bayesian inference for the spatio-temporal epidemic type aftershock sequence (ETAS) model

Seismica
The Epidemic-Type Aftershock Sequence model is a well-established point process framework for characterizing earthquake occurrences. Traditionally, ETAS parameters are estimated using maximum likelihood methods, where the background rate is smoothed by ...
Sofiane Taki-Eddine Rahmani, Gert Zöller, Sebastian Hainzl, Behnam Maleki Asayesh   +3 more
doaj   +1 more source

Survey on Compositional 3D Indoor Scene Generation

Computer Graphics Forum, EarlyView.
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam, H. I. D. Pun, A. T. Wang, X. Sun, Q. Wu, H. Lee, A. X. Chang, M. Savva   +7 more
wiley   +1 more source

Contrasting Food Web Dynamics Across Oceanographic Boundaries in Subarctic Pelagic Ecosystems

Fisheries Oceanography, EarlyView.
ABSTRACT Understanding the structure of pelagic food webs across multiple trophic levels is critical for elucidating species interactions, energy flow, and anthropogenic impacts on production. This study presents a comprehensive analysis of the eastern North Pacific pelagic food webs, focusing on the Gulf of Alaska (GoA) during late winter of 2019.
Genyffer C. Troina, Evgeny A. Pakhomov, Laurie Weitkamp, Brian P. V. Hunt   +3 more
wiley   +1 more source

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel

eLife
Predicting an individual’s cognitive traits or clinical condition using brain signals is a central goal in modern neuroscience. This is commonly done using either structural aspects, such as structural connectivity or cortical thickness, or aggregated ...
Christine Ahrends, Mark W Woolrich, Diego Vidaurre   +2 more
doaj   +1 more source

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

International Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source