Results 151 to 160 of about 274,981 (281)

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

Sleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source

Flexible neural representations of abstract structural knowledge in the human entorhinal cortex. [PDF]

Elife
Mark S, Schwartenbeck P, Hahamy A, Samborska V, Baram AB, Behrens TE.   +5 more
europepmc   +1 more source

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

Structural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella, Gianluca Ranzi, Francesco Romeo   +2 more
wiley   +1 more source

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex. [PDF]

Nat Neurosci
Wingert JC, Parida S, Norman-Haignere SV, David SV.   +3 more
europepmc   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Free Energy Calculation Method Based on Enhanced Sampling of Diverse Protein Conformations Predicted by Artificial Intelligence. [PDF]

J Phys Chem Lett
Aoki T, Harada R.
europepmc   +1 more source

Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]

PLoS One
Bhimineni VC, Senapati R.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Multivector model predictive control for multiphase induction machines with dead-time knowledge. [PDF]

Sci Rep
Carrillo-Rios J, Cordoba-Ramos M, Lara-Lopez R, Gonzalez-Prieto I, Duran MJ, Aciego JJ, Mora-Moreno P, Gonzalez-Prieto A.   +7 more
europepmc   +1 more source