Titlebook: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems; Selected Papers from Jorge Marx Gómez,Anael Elikana Sam,Devo

字的誤用

MAUVE

壓倒性勝利

縮短

Improved Medical Imaging Transfer Learning through the Conflation of Domain Features, learning remains a challenge. With the release of many pre-trained models, there is a need to address target data adaptation in these pre-trained modes. This paper proposes the use of conflation of textural features, testing it on three medical imaging datasets and two pre-trained models, among the

hyperuricemia

Brain-Waves

Machine Learning-Based Forward Collision Avoidance System: A Case Study for the Kayoola EVS,ence of an imminent collision. In this research, an efficient reinforcement learning algorithm that actuates the car to move forward, steer left, right, and stop was designed for autonomous vehicles. Currently, forward collision avoidance systems are based on input commands from the sensors like Lid

Visual-Field

Visualizing Outlier Explanations for Mixed-Type Data,nterpretable such as deep learning or ensemble approaches. Of the existing studies, few consider how the obtained explanations can be visualized. Two studies exist that utilize two-dimensional scatterplots for visualizing outliers detected on numerical data. None of the existing studies explore how

conference

Projection

SHRIK

From Process Mining to Enterprise Mining, a great deal of effort and has an impact on all subsequent project phases. While already productive ERP systems in companies typically contain both business and technical information from all departments, many companies fail to collect this information in its entirety in an automated manner, to the