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    Toward Smart Ultrasound Image Augmentation to Advance Tumor Treatment Monitoring: Exploring the Potential of Diffusion Generative Model 

    Source: Journal of Medical Devices:;2024:;volume( 018 ):;issue: 003:;page 31006-1
    Author(s): Yangue, Emmanuel; Ranjan, Ashish; Feng, Yu; Liu, Chenang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Medical imaging is a crucial tool in clinics to monitor tumor treatment progress. In practice, many imaging tools (such as magnetic resonance imaging (MRI) and computed tomography (CT) scans) are in general costly and may ...
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    Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 006:;page 60903-1
    Author(s): Yangue, Emmanuel; Fullington, Durant; Smith, Owen; Tian, Wenmeng; Liu, Chenang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Despite the rapid adoption of deep learning models in additive manufacturing (AM), significant quality assurance challenges continue to persist. This is further emphasized by the limited availability of sample objects for ...
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    Morphological Dynamics-Based Anomaly Detection Towards In Situ Layer-Wise Certification for Directed Energy Deposition Processes 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 011:;page 111007
    Author(s): Bappy, Mahathir Mohammad;Liu, Chenang;Bian, Linkan;Tian, Wenmeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The process uncertainty induced quality issue remains the major challenge that hinders the wider adoption of additive manufacturing (AM) technology. The defects occurred significantly compromise structural integrity and ...
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    A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 004:;page 041007-1
    Author(s): Shi, Zhangyue; Kan, Chen; Tian, Wenmeng; Liu, Chenang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As an emerging technology, additive manufacturing (AM) is able to fabricate products with complex geometries using various materials. In particular, cyber-enabled AM systems have recently become widely applied in many ...
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    Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 007:;page 71004-1
    Author(s): Shi, Zhangyue; Oskolkov, Boris; Tian, Wenmeng; Kan, Chen; Liu, Chenang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The advancement of sensing technology enables efficient data collection from manufacturing systems for monitoring and control. Furthermore, with the rapid development of the Internet of Things (IoT) and information ...
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    Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 004:;page 41004-1
    Author(s): Oskolkov, Boris; Kan, Chen; Tian, Wenmeng; Law, Andrew Chung Chee; Liu, Chenang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cyber-enabled manufacturing systems are becoming increasingly data-rich, generating vast amounts of real-time sensor data for quality control and process optimization. However, this proliferation of data also exposes these ...
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    Coupled Heat Power Operation of Smart Buildings via Modular Pumped Hydro Storage 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 007:;page 70912-1
    Author(s): Chen, Yang; Abu-Heiba, Ahmad; Kassaee, Saiid; Liu, Chenang; Liu, Guodong; Starke, Michael; Smith, Brennan T.; Momen, Ayyoub M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the United States, building sector is responsible for around 40% of total energy consumption and contributes about 40% of carbon emissions since 2012. Within the past several years, various optimization models and control ...
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