Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Center of Smart Materials and Devices, Wuhan University of Technology, Wuhan 430070, China ...

Abstract: This project addresses the critical need for safeguarding patterns identified in datasets during their transmission to a destination. The process involves two key steps: first, employing ...

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...