Sepsis, a life-threatening and costly condition, necessitates early detection for effective management. However, diagnostic and therapeutic delays are common. Furthermore, sepsis complexity and ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
In today’s information-driven society, there’s an ever-increasing preference to measure phenomena such as temperature, pressure, light, force, voltage and current. These measurements can be used in a ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
Q: What does the system do? A: It uses AI and non-invasive brain stimulation to enhance attention during mentally demanding tasks. Q: How is it personalised? A: The AI tailors stimulation intensity ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study introduces PROFIS, a new generative model capable of the design of ...
Department of Computer Engineering, Netaji Subhas University of Technology, New Delhi, India Hyperparameters are pivotal for machine learning models. The success of efficient calibration, often ...
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