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Now showing items 71-80 of 144
Biosignal time-series analysis
(
Elsevier
, 2022 , Book chapter)
In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...
DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ...
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ...
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
(
IEEE Computer Society
, 2021 , Article)
Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ...
A cost-effective 3d acquisition and visualization framework for cultural heritage
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ...
Disaster related social media content processing for sustainable cities
(
Elsevier
, 2021 , Article)
The current study offers a hybrid convolutional neural networks (CNN) model that filters relevant posts and categorises them into several humanitarian classifications using both character and word embedding of textual ...
Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
(
ISA - Instrumentation, Systems, and Automation Society
, 2023 , Article)
This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ...
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
There is a high demand for chatbots across a wide range of sectors. Human-like chatbots engage meaningfully in dialogues while interpreting and expressing emotions and being consistent through understanding the user's ...
Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...
The research on detection of crop diseases ranking based on transfer learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which ...