Python
Machine Learning
Machine Learning Based Heart Disease Prediction System
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data using GPT
Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms
Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application
Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path
Obfuscated Privacy Malware Classification Using Machine Learning and Deep Learning Techniques
Python, Cybersecurity, Deep Learning, Machine Learning, Artificial Intelligence, Cyber Security, Deep Learning, Machine Learning
Aim
The aim of this research is to develop an intelligent system capable of detecting and classifying obfuscated privacy malware into various categories and families. This system leverages machine learning and deep learning models trained on the CIC-MalMem-2022 dataset to improve accuracy and address the challenges posed by data imbalance and complex malware behaviour.
Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning
Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques
Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)
