Browsing by Subject "ANN"
Now showing items 1-7 of 7
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Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of them don’t have the foggiest idea how to utilize, where ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
EEG signals analysis for motor imagery brain computer interface
(Brac University, 2019-08)A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ... -
Forecasting electricity demand of Bangladesh and its relation with physical and natural variables using group method of data handling model
(Brac University, 2021-01)The purpose of this work is to forecast the electricity demand of Bangladesh using the Group Method of Data Handling (GMDH). Electricity is one of the key variables in ensuring economic growth and a higher standard of ... -
Machine learning In breast cancer prognosis and prediction
(Brac University, 2022-05-19)In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ... -
PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
(Brac University, 2023-01)As the world is moving more and more towards a digital era, a great majority of data is transferred through a famous format known as PDF. One of its biggest obstacles is still the age-old problem: malware. Even though ... -
A performance comparison between machine learning models on zero-day attack detection
(Brac University, 2021-01)Traditional IDS has been shielding against cyber threats for many years but it falls short on detecting zero-day attacks. These are the attacks that are unique with unknown attack patterns and mutating attack signatures ...
