research
∙
06/01/2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Quantum machine learning (QML) is an emerging field of research that lev...
share
research
∙
06/01/2023
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
One of the most significant challenges in the field of software code aud...
research
∙
07/07/2022
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques
People's personal hygiene habits speak volumes about the condition of ta...
research
∙
04/28/2022
Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset
Delirium occurs in about 80 associated with a longer hospital stay, incr...
research
∙
04/28/2022
Pragmatic Clinical Trials in the Rubric of Structural Causal Models
Explanatory studies, such as randomized controlled trials, are targeted ...
research
∙
04/28/2022
CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors
Structural causal models (SCMs) provide a principled approach to identif...
research
∙
04/04/2022
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools
Quantum Computing (QC) refers to an emerging paradigm that inherits and ...
research
∙
04/04/2022
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Quantum Computing (QC) has gained immense popularity as a potential solu...
research
∙
10/28/2020
mTOCS: Mobile Teleophthalmology in Community Settings to improve Eye-health in Diabetic Population
Diabetic eye diseases, particularly Diabetic Retinopathy,is the leading ...
research
∙
06/22/2020