Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 41-60 of 1492
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Tiny-ML based person identification in dynamic motion
(Brac University, 2024-05)TinyML, short for Tiny Machine Learning, focuses on small, low-power machine learning systems, with a significant emphasis on human identification. This capability is crucial in areas like access control, security, and ... -
Single and multi-view 2D image processing for enhanced 3D object reconstruction
(Brac University, 2024-05)This paper presents an efficient approach for 3D object reconstruction using Single and multi- view 2D image processing. In real-world scenarios, it also focuses on practical applications. Our approach is about the ... -
Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
(Brac University, 2024-05)The advancement of autonomous vehicles requires a fast and effective object detection and segmentation system handling a wide range of road environments. The goal of this research is to improve autonomous navigation by ... -
TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
(Brac University, 2024-05)In today’s digital world, voice emotion recognition is essential for applications like intelligent tutoring, audio mining, security, telecommunication, HCI, lie detection, and human-machine interactions in various settings. ... -
Dynamic authentication protocols for advanced security in federated metaverse systems
(Brac University, 2024-01)Metaverse is a dynamic virtual reality-based environment that is rapidly revolutionizing digital engagement. The Metaverse is propelled by the integration of technologies like blockchain, augmented reality, virtual ... -
Real-time DDoS detection in software-defined networks using machine learning
(Brac University, 2024-05)As the landscape of the digital world keeps changing and getting more advanced, so do the sophistication and complexities of cyber threats. Distributed Denial of Service (DDoS) attacks have become a major threat to network ... -
Enhancing Bangla video comprehension through multimodal feature integration and attention-based encoder-decoder captioning models for single-action videos
(Brac University, 2024-05)Video understanding and description have an important role to play in the field of computer vision and natural language processing. The capacity of automatically generating natural language descriptions for video content ... -
Internship on software development and network system
(Brac University, 2024-06)In the following Internship Report, I describe detail of my intended study and actual experience at Square Informatix Ltd. which is a start up technology company. Hence, by highlighting the key areas I have interned with ... -
Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
(Brac University, 2024-05)Bangladesh suffers from the cumulative effects of floods brought on by water flashing from nearby hills, the accumulation of the inflow of water from upstream catchments, and locally heavy rainfall made worse by drainage ... -
TikNep: content analysis of Nepali TikTok users using natural language processing
(Brac University, 2024-05)Nepal, with an approximate population of 29 million, has over 2.2 million active TikTok users, TikTok has gained attention as a platform for self-expression and social connection among diverse age groups. Users in Nepal ... -
Blockchain-based mental health solution system
(Brac University, 2024)In recent years blockchain technology has evolved from finance to industrial usage, wellness to health, commerce to service sector. The convergence of blockchain technology and e-mental healthcare presents an evolutionary ... -
Smart detection and classification of fungal disease in rice plants using image processing techniques
(Brac University, 2024-05)One of the most crucial staple crops, rice (Oryza Sativa), feeds a significant percentage of the world’s population. However, fungal infections, which may significantly reduce yields and affect global food security, ... -
Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba
(Brac University, 2024-05)A fetal ultrasound is a safe pregnancy test that provides an image of the baby’s heart, head, and spine while also analyzing various aspects of its anatomy. Maternal-fetal ultrasound imaging is critical during pregnancy, ... -
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
(Brac University, 2024-05)Plant diseases, particularly those affecting crop plants, pose a significant danger to world food security by compromising the quality and yield of agricultural produce. Mango leaf disease is one such example. Mango leaf ... -
A quantum Z-transform
(Brac University, 2019-12)We investigate a quantum analog of the classical Z-transform with the aim of making it implementable on quantum computers, potentially offering a speedup over the classical method. Unlike the discrete Fourier transform, ... -
Identifying code-mixed and code-switched hateful remarks on social media using NLP
(Brac University, 2024-05)Online bullying has prevailed for years in the vast cesspool that is commonly known as the online social media. Increasing use of social media and online communication has led to a rise in cyberbullying– which is often ... -
Exploring machine learning techniques for symptom-based detection of livestock diseases
(Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
(Brac University, 2024-05)In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ... -
Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ... -
Trash detection in an aquatic environment
(Brac University, 2024-01)Trash in the water bodies is alarming for the world nowadays. As it is a limited source, pollution caused by the trash is threatening for the environment, wild-life and long term effect for the human health and economy. ...
