Browsing by Author "Rahman, Rafeed"
Now showing items 1-20 of 62
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An AI and NLP approach for detecting grooming behavior
(BRAC University, 2024)"Grooming children on social media is a dangerous side effect of modern internet era. AI models, specially NLP have the potential to play a critical role in detecting grooming behavior. Even though, there have been studies ... -
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
Analyzing the security differential privacy provides and the trade-off between performance and privacy in medical image classification
(Brac University, 2024-05)One of machine learning’s main purposes is to draw out functional and practical information from a set of data while perpetuating the entire privacy by protecting all information. While it might seem a bit hard to maintain, ... -
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 ... -
An approach to detect smartphone addiction through activity recognition and app usage behaviour
(Brac University, 2023-05)The widespread use of smartphones has raised concerns about problematic smartphone use or addiction, which has become a significant issue in today’s society. Despite the recognition of this research area, detecting smartphone ... -
Attention-deficit/hyperactivity disorder detection leveraging an ensemble of encoder-decoder transformer and XGBoost models
(BRAC University, 2024-10)"Early detection of neurodevelopmental disorders such as Attention-Deficit/ Hyperactivity Disorder(ADHD), can lead to improved outcomes and prompt intervention. Traditional detection methods have been facing challenges due ... -
Automated reference validation for scholarly publications using NLP
(Brac University, 2024-01)Accurate references in scholarly publications are a crucial aspect of scientific writing. The manual validation of references can be a time-consuming and error-prone process. This research introduces an updated version ... -
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ... -
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)The brain is the command center of our nervous system, which enables thoughts, memories, movements, and emotions. In other words, it is the most important organ in the human body. The human brain is very vulnerable to ... -
Brain tumor sectionalization through semantic segmentation approach
(Brac University, 2024-10)Accurate brain tumor detection and segmentation from magnetic resonance imaging (MRI) scans are vital for effective diagnosis, treatment planning, and patient monitoring. However, manual segmentation is time-consuming ... -
Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
(Brac University, 2023-01)As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ... -
CattleSavior: towards implementing an advanced external disease detection system through deep learning
(Brac University, 2023-08)"Lumpy Skin Disease (LSD), Foot and mouth (FMD), and Infectious Bovine Keratoconjunctivitis (IBK) are some of the most common external diseases of cattle in Bangladesh. Besides, these diseases are highly contagious. Thus, ... -
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 comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ... -
A comparative study of machine learning and geospatial techniques for analyzing Dengue diffusion patterns and identifying hotspots in Bangladesh
(BRAC University, 2025-01)Dengue fever is still a major public health challenge in tropical and subtropical coun- tries, especially in Bangladesh where epidemic has been a big threat to public health. In this paper, we have developed an integrative ... -
A comprehensive hybrid framework for Parkinson’s disease detection: integrating handcraft features along with deep learning-based feature extraction with variational autoencoder and traditional machine learning techniques for classification
(BRAC University, 2024-10)Neurodegenerative disorders, such as Parkinson’s disease, present a significant medical challenge, necessitating innovative approaches for detection. This thesis introduces a comprehensive hybrid framework that combines ... -
Construction of 3D environment from 2D RGB images and depth information
(Brac University, 2023-05)Modern operations have introduced a new class of highly functional applications, redefining what can be built in a given amount of time. 3D modeling is required to resolve several shortcomings in outdated processes and ... -
A deep learning approach for automated classification of Corneal Ulcers
(Brac University, 2023-09-25)Eye Corneal Ulcer(ECU) has been demonstrated to be the second most common cause of treatable blindness worldwide, after cataracts. It is an extremely prevalent ophthalmic ailment and can cause severe visual impairment ... -
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
(Brac University, 2023-01)For the technological shift, advancing epoch towards cryptocurrency intensified the impactful method. Metaverse can originate the base operation into a diversified level. The extension of digital marketing contributes ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ...
