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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

📅 Published: February 10, 2022 👤 Iqbal H. Sarker 📖 SN Computer Science 📊 1,075 citations
AI-Generated Summary

Abstract Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. We also emphasize and highlight the research issues within the scope of our study.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Thus, AI-based modeling is the key to build automated, intelligent, and smart systems according to today’s needs.
  • 2 To solve real-world issues, various types of AI such as analytical, functional, interactive, textual, and visual AI can be applied to enhance the intelligence and capabilities of an application.
  • 3 However, developing an effective AI model is a challenging task due to the dynamic nature and variation in real-world problems and data.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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