Transformative Convergence: Exploring the Nexus of Engineering, Science and Technology in Intensive Care
Published on: 23rd May, 2024
In the last decade, convergence science has been described as the solution to problems by integrating biological sciences with the physical, mathematical and computational sciences. This concurrence opens the pitch to strengthen multidisciplinary, transdisciplinary and interdisciplinary work. This short review delves into the transformative integration of engineering, science and technology in the dynamic realm of intensive care. Unveiling recent advancements, the exploration spans the multifaceted contributions of these disciplines toward elevating patient care and optimizing healthcare systems.
Feature Processing Methods: Recent Advances and Future Trends
Published on: 3rd April, 2025
This paper reviews recent advances and future trends in feature processing methods within the field of artificial intelligence. With the rapid development of deep learning and big data technologies, feature processing has become essential for enhancing AI model performance. We begin by revisiting traditional feature processing methods, then focus on deep learning-based feature extraction techniques, automated feature engineering, and the application of feature processing in specific domains. The article also analyzes the current research challenges and outlines future development directions, offering structured insights for both researchers and practitioners across disciplines
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