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Articles by Asif Ullah
TransTCNet: Transformer-Based Temporal-Contextual Network for Low-Latency Typing Interfaces on Edge Devices
You are already at the latest version A distinct typing interface using surface electromyography (sEMG) can facilitate silent, hands-free typing by interpreting muscle activity in relation to specific keystrokes. Character-level recognition poses challenges compared to the recognition of unseemly gestures, due to insensitivity to slight temporal variations and the fusion of muscle dynamics.
Matignon-Based Stability and Weight Synchronization of a Fractional Time Delay Neural Network Model
Submitted: 21 September 2025 You are already at the latest version Subscription Notify me about updates to this article or when a peer-reviewed version is published. This version is not peer-reviewed. Submitted: 21 September 2025 You are already at the latest version Artificial neural networks (ANNs) are powerful models inspired by the structure and function of the human brain. They are widely used for tasks such as classification, prediction, and model recognition.
Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Innovative and Sustainable Advances in Polymer Composites for Additive Manufacturing: Processing, Microstructure, and Mechanical Properties
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Development and Application of Digital Twin Control in Flexible Manufacturing Systems
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Surface Electromyography-Based Recognition of Electronic Taste Sensations
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Predicting stroke and mortality in mitral stenosis with atrial flutter: A machine learning approach
2.3 Variable network analysis There is an interesting correlation between patterns of variable clustering and disease variables explored during network visualization. The variable network represents a variable through points, and a path between points characterizes a connection with the two variables that it connects. The transparency and width of the path represent the influence of that correlation (less transparent + wider = stronger influence).
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