Field dossier · from the corpus
Support vector machine
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
A comparative analysis of gradient boosting algorithms
A comprehensive survey on support vector machine classification: Applications, challenges and trends
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
Artificial intelligence for fault diagnosis of rotating machinery: A review
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
Machine Learning and Data Mining Methods in Diabetes Research
Recent work · 2024 onward
Machine learning descriptors in materials chemistry used in multiple experimentally validated studies: Oliynyk elemental property dataset
Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design
Enhancing Prediction Accuracy of Machine Learning Models for Materials Informatics Problems in Alloy Design: A Case Study on Dual-Phase Steel
Enhancing tribological system performance through intelligent data analysis and predictive modeling: A review