Browsing by Subject "XAI"
Now showing items 1-14 of 14
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An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ... -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)Cancer is a complex and highly invasive disease that forms due to the abnormal growth of cells in any part of the body. A majority of cancers are unraveled and treated by incorporating advanced technology. However, ovarian ... -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ... -
Decipherable classification of glaucoma using deep neural network leveraging XAI
(Brac University, 2022-01-18)Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic ... -
Demystifying machine learning models for IOT attack detection with explainable AI
(Brac University, 2021-09)Internet of things (IoT) dramatically is changing our lives with its newly invented devices and applications which leads to various emerging cybersecurity challenges or threats. The rapid growth of IoT arouses security ... -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
(Brac University, 2024-01)Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ... -
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)Skin Cancer is a cancer form that has become very prevalent in recent times and, if left untreated, has the potential to cause premature death. That is why early diagnosis and treatment are important to cure this disease. ... -
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ... -
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ... -
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ... -
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 ... -
Plant leaf disease identification
(Brac University, 2023-01)Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ... -
A transformer based approach to detect the sentiment of drivers in ride sharing platforms
(Brac University, 2024-04)Globally, ride-sharing is very popular, especially in developed countries. The scheme has been launched in many developing countries, and Bangladesh is no exception. The ongoing transportation problem and traffic jams ...
