Micro-Doppler based Target Classification
Description: The world today has bought on a need to pay increased attention to safety and security issues, for example, search and rescue operations, surveillance, and protection of critical infrastructure. These tasks are often labour intensive and potentially dangerous. This provides an incentive to create systems that aid operators to gain situ...
cyberbullying detection on social media texts
Cyberbullying is when someone is bullied using technology as an intermediary. Despite the fact that it has been a problem for many years, the impact on young people has just recently become more widely recognized. Bullies thrive on social media platforms, and teens and children who use them are vulnerable to attacks. A copious amount of usergener...
Identification of algorithm from the given dataset using AI/ML Techniques
Background: There are large number of cryptographic algorithms available for ensuring data confidentiality and integrity in secure communication. Identification of the algorithm is a research activity that leads to better understanding of the weakness in its implementation, in order to make the algorithm more robust and secure. Description: The a...
Detection and classification of brain tumor using hybrid deep learning models
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for obtaining high-contrast grayscale brain images, primarily for tumor diagnosis. The application of Convolutional Neural Networks (CNNs) in deep learning has revolutioniz...
Brain Tumor Detection and Classification Using Artificial Intelligence
Health is very important for human life. In particular, the health of the brain, which is the executive of the vital resource, is very important. Diagnosis for human health is provided by magnetic resonance imaging (MRI) devices, which help health decision makers in critical organs such as brain health. Images from these devices are a source of...
Public news fake identification using asp.net
Fake news, deceptive information, and conspiracy theories are part of our everyday life. It is really hard to distinguish between false and valid information. As contemporary people receive the majority of information from electronic publications, in many cases fake information can seriously harm people’s health or economic status. This article...
Minimize Social Network Rumors Based on Rumor Path Tree
Social networks have become a powerful information spreading platform. How to limit rumor spread on social networks is a challenging problem. In this article, we combine information spreading mechanisms to simulate real-world social network user behavior. Based on this, we estimate the risk degree of each node during the hazard period and analy...
Machine Learning Based Healthcare System for Investigating the Association Between Depression and Quality of Life
The present study aims to elucidate the main variables that increase the level of depression at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the tr...
