Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review
L Yi, W Wang, Y Diao, S Yi, Y Shang, D Ren… - TrAC Trends in …, 2024 - Elsevier
Food quality and safety (FQS) are crucial aspects of everyone's life and health. With the
rapidly advancing field of analytical sciences, there is a growing demand for intuitive …
rapidly advancing field of analytical sciences, there is a growing demand for intuitive …
Review of sEMG for robot control: Techniques and applications
T Song, Z Yan, S Guo, Y Li, X Li, F Xi - Applied Sciences, 2023 - mdpi.com
Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …
activation signals to control robots through novel human–machine interfaces (HMIs). This …
[HTML][HTML] Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks
High impedance faults caused by vegetation are difficult to detect when covered conductors
in medium voltage overhead power lines are used. Long-term contact of XLPE insulation …
in medium voltage overhead power lines are used. Long-term contact of XLPE insulation …
Investigating deep stock market forecasting with sentiment analysis
When forecasting financial time series, incorporating relevant sentiment analysis data into
the feature space is a common assumption to increase the capacities of the model. In …
the feature space is a common assumption to increase the capacities of the model. In …
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide,
raising the need to develop novel tools to provide rapid and cost-effective screening and …
raising the need to develop novel tools to provide rapid and cost-effective screening and …
Light field image quality assessment with auxiliary learning based on depthwise and anglewise separable convolutions
In multimedia broadcasting, no-reference image quality assessment (NR-IQA) is used to
indicate the user-perceived quality of experience (QoE) and to support intelligent data …
indicate the user-perceived quality of experience (QoE) and to support intelligent data …
A gated temporal-separable attention network for EEG-based depression recognition
Depression, a common mental illness worldwide, needs to be diagnosed and cured at an
early stage. To assist clinical diagnosis, an EEG-based deep learning frame, which is …
early stage. To assist clinical diagnosis, an EEG-based deep learning frame, which is …
Domain adaptation for time-series classification to mitigate covariate shift
The performance of a machine learning model degrades when it is applied to data from a
similar but different domain than the data it has initially been trained on. To mitigate this …
similar but different domain than the data it has initially been trained on. To mitigate this …
Wearable MMG-plus-one armband: Evaluation of normal force on mechanomyography (MMG) to enhance human-machine interfacing
In this paper, we introduce a new mode of mechanomyography (MMG) signal capture for
enhancing the performance of human-machine interfaces (HMIs) through modulation of …
enhancing the performance of human-machine interfaces (HMIs) through modulation of …
Multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV
S González, AKC Yi, WT Hsieh, WC Chen, CL Wang… - Information …, 2024 - Elsevier
Abstract Cardiovascular diseases, including Heart Failure (HF), remain a leading global
cause of mortality, often evading early detection. In this context, accessible and effective risk …
cause of mortality, often evading early detection. In this context, accessible and effective risk …