Skip to main content

6 Result(s)

within W. F. Tang Remove this filter

and

  1. No Access

    Chapter and Conference Paper

    From Industry 4.0 to Industry 5.0: Challenges and Opportunities in the Testing Inspection and Certification (TIC) Industry

    The twenty-first century is changing faster than ever in the human history. While it has taken over 20 years transferring the industry from automated manufacturing (i.e., Industry 3.0) to Industry 4.0, the new...

    C. H. Li, H. Y. Yuen, T. T. Lee, C. Ng, S. L. Mak… in Intelligent Sustainable Systems (2024)

  2. No Access

    Chapter and Conference Paper

    Sample Optimization of Fast Authentication of Concentrated Chinese Medicine Granules Using FTIR-ATR with Chemometrics

    Concentrated Chinese medicine granules (CCMG) are the granular form of Chinese medicine that can be conveniently taken orally and have proven efficacy. In recent years, the quality of CCMG has raised public co...

    S. H. Fung, E. S. W. Wong, C. Y. O, S. M. N. Chan… in Intelligent Sustainable Systems (2024)

  3. No Access

    Chapter and Conference Paper

    Enhancing Data Exchange Trust in the Jewelry Industry with Blockchain Technology

    Blockchain is gaining prominence on the market, and virtually, every industry appears eager to utilize this technology for its benefits. It is essential to recognize that the initial stage of any opportunity i...

    W. F. Tang, C. H. Li, S. L. Mak, E. S. W. Wong in Intelligent Sustainable Systems (2024)

  4. No Access

    Chapter and Conference Paper

    How to Embed AI Applications of Building Management System in Campus Management

    Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machi...

    C. H. Li, H. Y. Yuen, T. T. Lee, W. F. Tang, C. C. Lee… in Intelligent Sustainable Systems (2024)

  5. No Access

    Chapter and Conference Paper

    Smart Buildings: Comparison of Various Deep Learning Models to Forecast Energy Consumption

    Smart buildings are increasing around the world as they offer a range of benefits including energy efficiency, cost savings, and improved occupant comfort. Equipped with the different innovation technologies l...

    C. H. Li, K. Y. Tam, T. T. Lee, S. L. Mak, S. K. Lam… in Intelligent Sustainable Systems (2024)

  6. No Access

    Chapter and Conference Paper

    The Development of Internet of Things (IoT) Preventive and Predictive Maintenance Solutions for Building Management

    The current economic and competitive realities in the business sector need the development of solutions that may assist organizations in drastically lowering their operating costs. Even if energy prices are hi...

    W. F. Tang, C. H. Li, S. L. Mak, C. C. Lee, Stephen Lam in Intelligent Sustainable Systems (2024)