Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 585-604 of 1344
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Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ... -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
(Brac University, 2022-01)The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ... -
Exploratory data analysis and success prediction of Google Play Store apps
(BRAC University, 2018-12)Mobile app distribution platform such as Google play store gets flooded with several thousands of new apps everyday with many more thousands of developers working independently or in a team to make them successful. With ... -
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 ... -
Exploring attacks in the NFT gaming industry: A study of risks and mitigation strategies
(Brac University, 2023-01-23)Exploring the decentralized concept of NFT games implemented on blockchain to demonstrate possession of specific game elements, has enabled the integration of blockchain features technology where the developer enables a ... -
Exploring cognitive load and emotional states for the visually impaired
(Brac University, 2019-04)Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ... -
Exploring deep features: deeper fully convolutional neural network for image segmentation
(BRAC University, 4/19/2017)Classification of images has been a widely regarded challenge for the past decade, but a new type of object recognition problem which deals with pixellevel segmentation is posing a more complex task for both computer vision ... -
Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
(Brac University, 2021-09)In recent years, quantum computing has outperformed classical computing in many aspects, including the advancement of approaches in Reinforcement Learning prob- lems. Particularly, it has the power to utilize the quantum ... -
Exploring the barriers to access feminine healthcare among marginalized women in Bangladesh and design implications
(Brac University, 2023-05)In today’s era of information and technology for promoting and maintaining both physical and mental health, high-quality healthcare services are crucial. Telecommu- nications service creates an opportunity to close the ... -
Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
(Brac University, 2023-01)The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it can be difficult to comprehend the factors that affect their ... -
Exploring the psychological factors of consumer purchase behavior in Bangladesh on the adoption of digital payment apps
(Brac University, 2024-01)Consumer purchase behavior and its relation with human psychology is a fascinating and important field of study. Understanding consumer behavior and factors that can drive their decision on adopting new products and ... -
Extracting information from social media platform for early detection of depression among individuals
(Brac University, 2023-05)In our world, 3.8% of the total population is suffering from depression and it is the fourth major cause of death in 15-29 year olds. It is estimated that more than 75% of people suffering from it in low and middle income ... -
Extractive text summarization using Fuzzy-c-means clustering
(BRAC University, 2018-12)Keeping track of the precise information from a large volume of text is an arduous task for human. Test summarization process has become one of the significant research areas for years owing to cope up with the astounding ... -
An eye-controlled system : an eye control system using OpenCV
(BRAC University, 4/12/2012)system is a system which can be controlled by just looking at the system's GUI (Graphical User Interface) which figures out the position of our Iris respect to eye using webcam via image processing. A robot expected to ... -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
(Brac University, 2021-01)Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ... -
Face detection
(BRAC University, 2008-01)Human face detection plays an important role in applications like face recognition, video surveillance, human computer interface, face image database management and many more. In modern multimedia systems, video and ... -
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ... -
Facial recognition using dynamic image processing
(BRAC University, 4/10/2017)In this paper, we are prompting to detect a particular object (human face) from multiple objects (crowd) where multiple objects are present. We will try to recognize that particular object by using two pattern recognition ... -
Facial recognition using empirical mode decomposition, Multi-linear principal component analysis and post-processing using expectation maximization algorithm
(BRAC University, 9/1/2014)The field of facial recognition is rapidly growing into a vital part of our everyday lives. The use of facial recognition systems has been extended primarily from security purposes to social networking sites, managing ... -
Factor analysis of ad liking and prediction of purchase intent through emotionomics
(Brac University, 2019-12)Marketing strategy is being a new challenge in this modern era. Along with the global market, people's choices are also changing so to grab the focus of buyers, organizations are making changes in their marketing policy ...