GitHub

Ransomware Detection Using Static Machine Learning Features

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
IEEE

Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM ...

Abstract: Early detection of diseases allows for timely interventions that can reduce the risk of severe health complications; using Machine Learning (ML) tools to support medical specialists aids in ...
IEEE

Comparative Study of Table Tennis Forehand Strokes Classification Using Deep Learning and SVM

Abstract: Object sensors are widely used for motion capture, particularly in sport motion analysis for classification of strokes. In this paper, a comparative study was performed to examine the ...
C&EN

Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
Scientific Research Publishing

Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest ...

1 Department of Computer Science, Chennai Mathematical Institute, Chennai, India. 2 Department of Mathematics & Computer Science, Chennai Mathematical Institute, Chennai, India. 3 Department of Data ...
C&EN

Modeling the Solubility of Sulfur in Sour Gas Mixtures Using Improved Support Vector ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Scientific Research Publishing

Path Loss Modeling: A Machine Learning Based Approach Using Support Vector Regression and ...

1 College of Engineering, Anderson University, Anderson, SC, USA. 2 Department of Management Information Systems, Girne American University, Girne, Cyprus. 3 Computer Science Department, Florida A&M ...