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Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
BMJ Open10d

Prediction of treatment outcome in patients receiving internet-delivered cognitive behavioural therapy for depressive and anxiety symptoms: a machine learning analysis of data ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

AI turns simple plant images into early drought warnings, giving crops a voice in the fight against water stress

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...
IEEE1mon

Credit Card Fraud Detection Using KNC, SVC, and Decision Tree Machine Learning Algorithms

Abstract: Credit cards are replacing cash in shopping. With the increase in popularity of plastic money like credit cards, hackers are misusing this as an opportunity to commit fraud. In this research ...
GitHub2mon

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
Frontiers3mon

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers6mon

Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis

1 Department of Medical Rehabilitation Sciences, King Khalid University, Abha, Saudi Arabia 2 Marketing and Retail Studies, The Business School, Centennial College, Toronto, ON, Canada Background: ...
Scientific Research Publishing6mon

Application of Machine Learning Methods in Parameter Prediction of Deep Lacustrine Oil Shale Reservoirs—Taking the Triassic Chang 7 in the Longdong Area as an Example ()

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China. 2 Key Laboratory of Petroleum Geology and Reservoir, Xi’an Shiyou University, Xi’an, China. In the course of oil and ...
istockphoto7mon

Decision Tree Infographic stock illustrations

Browse 680+ decision tree infographic stock illustrations and vector graphics available royalty-free, or search for choice infographic to find more great stock images and vector art. Business decision ...
Scientific Research Publishing9mon

Quinlan, J.R. (1986) Induction of Decision Tree. Machine Learning, 1, 81-106.

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...