Understanding awareness of AI in the Malaysian construction industry is crucial as it highlights the readiness of industry players to adopt emerging technologies. This insight can guide strategies for education, training, and policy to enhance innovation and productivity in the sector.
Awareness of AI in the Malaysian construction industry is growing, but practical adoption often lags due to gaps in digital infrastructure, skill sets, and sector-specific training. From my own research on intelligent AI-driven systems for cyber-physical environments—such as in “Fuzzy-Optimized Machine Learning Model for Cyberattack Detection in IoT Networks”—I’ve observed that cross-domain frameworks integrating AI with operational resilience could be adapted for construction too. Promoting awareness must go hand-in-hand with pilot initiatives, localized education, and demonstrable ROI in automation, safety, and planning efficiency.
My Research Details on Fuzzy-Optimized Machine Learning Model for Cyberattack Detection in IoT Networks
Article FUZZY-OPTIMIZED LIGHTWEIGHT CYBER-ATTACK DETECTION FOR SECUR...
- Badges
- Science topic
- Similar topics
- Journal Impact Factor