Machine Learning Projects
Interpretable Machine Learning for COVID 19 An Empirical Study on Severity Prediction Task
The black-box nature of machine learning models hinders the deployment of some high-accuracy medica..
Machine Learning Applied in SARS CoV 2 COVID 19 Screening using Clinical Analysis Parameters
COVID-19 was considered a pandemic by the World Health Organization. Since then, world governments ..
Optimizing Survival Analysis of XG Boost for Ties to Predict Disease Progression of Breast Cancer
Objective: Some excellent prognostic models based on survival analysis methods for breast cancer ha..
Overcoming Computational Errors in Sensing Platforms Through Embedded Machine Learning Kernels
Recent medical field technologies are mainly used in advanced systems and equipments. So we analysis..
Personalized Recommendation System based on Collaborative Filtering for IoT Scenarios
Recommendation technology is an important part of the Internet of Things (IoT) services, which can p..
Providing User Security Guarantees in Public Infrastructure Clouds
The infrastructure cloud (IaaS) service model offers improved resource flexibility and availabilit..
Rating Prediction of Google Play Store Apps with Application of Data Mining Techniques
Software development is based on implementation standards. In the case of selling and accepting sof..
Relational Learning Improves Prediction of Mortality in COVID 19 in the Intensive Care Unit
Traditional Machine Learning (ML) models have had limited success in predicting Coronoavirus-19 (CO..
Remaining Useful Life Assessment for Lithium ion Batteries using CNN LSTM DNN Hybrid Method
The prediction of a Lithium-ion battery’s lifetime is very important for ensuring safety and reliab..
SEDMDroid An enhanced stacking ensemble framework for Android malware detection
The popularity of the Android platform in smartphones and other Internet-of-Things devices has res..
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data
With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly discus..
Word Segmentation Method for Handwritten Documents based on Structured Learning
Segmentation of handwritten document images into text-lines and words is an essential task for optic..