Results 31 to 40 of about 152,557 (59)

A Named Entity Recognition Method Based on Knowledge Distillation and Efficient GlobalPointer for Chinese Medical Texts

IEEE Access
The task of named entity recognition has been widely used in medical text analysis, but there is still the problem of poor transfer ability in practical applications.
Zhengwei Zhai, Rongli Fan, Jie Huang, Neal N. Xiong, Lijuan Zhang, Jian Wan, Lei Zhang   +6 more
doaj   +1 more source

Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management. [PDF]

J Pers Med, 2021
Šutić M, Vukić A, Baranašić J, Försti A, Džubur F, Samaržija M, Jakopović M, Brčić L, Knežević J.   +8 more
europepmc   +1 more source

Universal Fourier Attack for Time Series

IEEE Open Journal of Signal Processing
A wide variety of adversarial attacks have been proposed and explored using image and audio data. These attacks are notoriously easy to generate digitally when the attacker can directly manipulate the input to a model, but are much more difficult to ...
Elizabeth Coda, Brad Clymer, Chance DeSmet, Yijing Watkins, Michael Girard   +4 more
doaj   +1 more source

Fault Diagnosis of Industrial Robot Based on Multi-Source Data Fusion and Channel Attention Convolutional Neural Networks

IEEE Access
Industrial robots are prone to failure due to harsh working environments, which affects movement accuracy. The fault diagnosis of industrial robots has become an indispensable part of robot collaborative maintenance in intelligent manufacturing.
Yiwen Zhang, Zihao Zang, Xinming Zhang, Linsen Song, Zhenglei Yu, Yitian Wang, Yan Gao, Lei Wang   +7 more
doaj   +1 more source

A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

IEEE Access
A hybrid controlling method for stability controllers is needed in the interconnected renewable power systems due to the working conditions being diverse from low to high levels of Renewable Energy Sources (RES).
Mohamad Almas Prakasa, Imam Robandi, Ryo Nishimura, Muhammad Ruswandi Djalal   +3 more
doaj   +1 more source

Mesh Segmentation for Individual Teeth Based on Two-Stream GCN With Self-Attention

IEEE Access
Dental triangular mesh is widely used in computer-aided oral medicine. Different from regular data such as digital images, the structure of triangular mesh is more complex, and traditional operations such as convolution cannot be directly applied ...
Shi-Jian Liu, Chao-Ming Kang, Feng-Hua Huang, Zheng Zou   +3 more
doaj   +1 more source

Causal Diffusion Models for Generalized Speech Enhancement

IEEE Open Journal of Signal Processing
In this work, we present a causal speech enhancement system that is designed to handle different types of corruptions. This paper is an extended version of our contribution to the “ICASSP 2023 Speech Signal Improvement Challenge”.
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann   +5 more
doaj   +1 more source

Towards Automated Seizure Detection With Wearable EEG – Grand Challenge

IEEE Open Journal of Signal Processing
The diagnosis of epilepsy can be confirmed in-hospital via video-electroencephalography (vEEG). Currently, long-term monitoring is limited to self-reporting seizure occurrences by the patients.
Miguel Bhagubai, Lauren Swinnen, Evy Cleeren, Wim Van Paesschen, Maarten De Vos, Christos Chatzichristos   +5 more
doaj   +1 more source

Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks

IEEE Open Journal of Signal Processing
The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory system may be monitored during continuous speech perception. Reliable auditory-EEG decoders could facilitate the objective diagnosis of hearing disorders, or
Mike D. Thornton, Danilo P. Mandic, Tobias J. Reichenbach   +2 more
doaj   +1 more source

Optimizing Recurrent Neural Network-Based pH Prediction System of Halochromic Film for Chronic Wound Monitoring

IEEE Access
Chronic wounds, known for their prolonged healing and the associated financial strain on patients, highlight the growing need for effective monitoring methods.
Daeuk Kim, Ronnie S. Concepcion, Joseph Rey H. Sta. Agueda, John S. Martin Mondragon   +3 more
doaj   +1 more source