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Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
This track focuses on the latest developments in machine learning algorithms and their applications across various engineering domains. Researchers are invited to present innovative approaches that enhance the efficiency and effectiveness of machine learning techniques.
This session explores the integration of artificial intelligence in automatic control systems and their impact on engineering processes. Papers discussing novel AI-driven control strategies and their practical implementations are highly encouraged.
This track examines the intersection of bioinformatics and artificial intelligence, highlighting how AI tools can enhance biological data analysis. Contributions that showcase AI applications in genomics, proteomics, and personalized medicine are welcome.
This session delves into the role of natural language processing in engineering contexts, focusing on applications such as technical documentation and user interaction systems. Researchers are invited to share insights on NLP techniques that improve communication and usability.
This track is dedicated to advancements in computer vision and image processing technologies, emphasizing their engineering applications. Submissions should highlight novel algorithms, techniques, and case studies that demonstrate real-world impact.
This session focuses on data mining methodologies and their applications in extracting valuable insights from engineering datasets. Papers that present innovative data mining frameworks and their practical implications are encouraged.
This track explores the utilization of fuzzy logic and heuristic methods in artificial intelligence applications within engineering. Contributions that demonstrate the effectiveness of these approaches in solving complex engineering problems are welcome.
This session investigates computational theories of learning and their relevance to the development of intelligent systems. Researchers are invited to discuss theoretical advancements and their practical applications in engineering contexts.
This track focuses on hybrid intelligent systems that combine multiple AI techniques to solve engineering challenges. Papers should highlight innovative designs and applications that leverage the strengths of various AI methodologies.
This session examines the principles of knowledge representation and reasoning in artificial intelligence, particularly in engineering applications. Contributions that address the challenges of knowledge management and reasoning in complex systems are encouraged.
This track explores the integration of artificial intelligence within mechatronic systems, focusing on enhancing automation and control. Researchers are invited to present innovative applications that demonstrate the synergy between AI and mechatronics.