Submission Deadline: 30 April 2025 View: 51 Submit to Special Issue
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of artificial intelligence (AI) in various industries, emphasizing its role in addressing complex engineering real-world problems. As we navigate an era where data and technology shape decision-making, this issue highlights the practical applications of AI that enhance efficiency, resource management, and sustainable development across different engineering sectors.
The application of AI is not just about technological enhancement but also about a shift in our approach to problem-solving and decision-making. Integrating AI with technologies like machine learning, natural language processing, computer vision, robotics, big data, and the internet of things, organizations are fostering innovation, adding value, and gaining a competitive edge.
This issue provides a platform for presenting leading-edge research, case studies, and real-world AI implementations for engineering problems. Featured topics include, but not limited to:
• Biomedical and Healthcare Engineering: AI in medical diagnostics, patient care, biomedical engineering, and healthcare management systems.
• Manufacturing Engineering: Enhancements through AI in automation, predictive maintenance, quality control, and supply chain management.
• Transportation Engineering: Innovations in autonomous vehicles, traffic systems, logistics, and maintenance forecasting.
• Civil and Structural Engineering: Applications of AI in structural analysis, design, maintenance, and smart infrastructure.
• Environmental Science: AI applications in climate modeling, resource management, environmental monitoring, and sustainability efforts.
• Energy Engineering: Optimization of renewable energy systems, smart grids, energy management, and efficiency improvements using AI technologies.
In essence, this special issue aims to deepen the understanding of AI’s capabilities to solve intricate challenges, thereby fostering progress, innovation, and beneficial outcomes in today’s sophisticated world.
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