A Network of Broadcast Television Based on Industry-Specific Cyber-Physical Healthcare Systems
A primary goal of the biomedical sector is the detection of diseases, the creation of effective therapies, and the prevention of sickness. Markets for biological healthcare products and procedures, as well as human medicine, are serviced by the pharmaceutical industry. A cyber-physical system combines the best of both worlds: traditional medicine with cutting-edge information technology and extensive network connectivity. More effective teamwork might result from raising people's IQs. The requirement for enhanced sensing capabilities is a key factor propelling the possible broad adoption of wireless sensor networks in cyber-physical system applications. In principle, every TV in the area of a broadcast transmitter may theoretically get free TV shows through a BTN. One major problem is that it places more emphasis on responding to problems after they have occurred rather than preventing them. This essay explores the possibility of BI-CPS being utilized in the development of novel pharmaceuticals. New, more humane therapies and vaccinations are the final result of a long and winding road that starts in the lab: biomedical innovation. A potential source of conflict of interest is the financial relationship between biotech corporations and groups that set standards for clinical practice. To improve the health of individuals and communities, researchers in the biomedical sciences combine empirical and theoretical findings to create new understandings, therapies, and resources. This study covers all the bases when it comes to building the model, from getting it started to adding data, scaling it, querying it, and finally checking it. The results of the efficiency and security tests are identical: the system is completely safe to use. Results for performance (97.6%), efficiency (89.3%), prediction (87.2%), attack detection (94.3%), and outstanding security (90.3%), among other metrics, are all surpassed by BI-CPS.
Authors
- Nashwan Adnan Othman (ORCID: https://orcid.org/0000-0002-1487-912X)
- Jamal K. Abbas (ORCID: https://orcid.org/0000-0002-5102-9538)
- Alaa Hamid Mohammed (ORCID: https://orcid.org/0000-0001-5197-492X)
- Mariam J. Manee
- Jawad Radhi Rustum Al-Assal
Institutions
- University of Kirkuk (IQ)
- Al-Nisour University College (IQ)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/iccies63851.2025.11032386
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00