Department of Computer Science and Engineering (CSE): Recent submissions
Now showing items 61-80 of 1629
-
ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
(Brac University, 2024-05)Accessing image data in the domain of medical image analysis is challenging owing to concerns regarding privacy. Federated Learning is the approach used to get rid of this challenge. With millions of learning parameters, ... -
An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
(Brac University, 2024-05)Unsupervised clustering plays a crucial role in various real-life applications. It works by grouping similar data points together based on certain features or characteristics, without the use of predefined labels. 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 ... -
A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
(Brac University, 2024-06)Within medical image analysis, appropriately classifying the extent of knee osteoarthritis is a significant obstacle, made more difficult by the scarcity of annotated data and strict privacy rules. Conventional approaches ... -
Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
(Brac University, 2024-05)In a rapidly developing linguistic technology, the key role of phoneme recognition consists of understanding language and language learning. The research will be framed where a recognition system is developed for the ... -
Analyzing security threats and mitigation techniques for fog computing in IoT-enabled smart cities
(Brac University, 2024-06)In the midst of rising urbanization and advancements in technology, Smart Cities have developed as a crucial response to the complexities associated with urban liv ing. A significant contribution to the development of ... -
Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
(Brac University, 2024-06)Automatic sentiment recognition from speech data is crucial for various applications. As AI has grown in popularity, the application of the importance of speech sentiment analysis is increasing along with the amount of ... -
PlantGuard: intelligent plant disease detection
(Brac University, 2024-05)Every year, there is significant crop loss in developing countries due to delays in identifying plant diseases. Prompt and accurate identification of these diseases, with less reliance on field experts, could greatly ... -
Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
(Brac University, 2024-06)The research provides a deep exploration of cryptocurrency price dynamics by blending technical analysis, sentiment analysis, and backtesting, aiming to reveal the hidden patterns, drivers, and irregularities in their ... -
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
(Brac University, 2024-06)There is a pressing need to revise the current diagnostic framework for renal abnor mality due to the projected increase in its global prevalence as about 10% of people worldwide are suffering from renal diseases. ... -
Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
(Brac University, 2024-06)Machine Reading Comprehension (MRC) is an artificial intelligence task that ex amines a given passage or text and answers queries regarding it. The objective is to make an intelligent support system that has the ability ... -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
(Brac University, 2024-05)The early and accurate diagnosis of brain tumors is a critical challenge in medi cal imaging, significantly impacting treatment outcomes and patient survival rates. Despite the advancements in imaging technologies, the ... -
Unsupervised semantic segmentation for localization of wetland area fluctuations
(Brac University, 2024-05)This research delves deeply into the intricate dynamics of wetlands in Bangladesh, with a particular focus on the haors, utilizing continuous monitoring to grasp the nuanced temporal changes that occur. It introduces ... -
Customizing solutions: an internship journey in ABAP SAP development and custom reporting at Eitekh ERP LTD
(Brac University, 2024-06)This internship defense report describes a transforming journey of professional growth and development in the field of SAP ERP consulting. I received invaluable insights, refined essential skills, and made substantial ... -
GNN model for classification of SARS-CoV-2 severity in molecules
(Brac University, 2024-05)In a time when healthcare issues and diseases get more complex every day, it becomes evident that efficient and precise disease detection and classification are invaluable. Through the quick development of machine ... -
Pothole detection using lightweight network models
(Brac University, 2024-01)Potholes are defective cavities found on road surfaces. Potholes can lead to serious accidents and vehicle damage if not properly detected. Thus, we are proposing the use of neural network models for pothole classification. ... -
Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
(Brac University, 2024-06)Indeed it became crucial to develop an AI-driven system for detecting Renal illnesses spontaneously due to a healthcare issue of Renal failure. The global shortage of nephrologists is the core reason for this. This ... -
Predicting crime using deep learning
(Brac University, 2017-12-24)Criminal activities are available in every region of the world influencing social life and financial improvement. As such, it is a major concern of numerous legislatures who are utilizing distinctive advanced innovation ... -
A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
(Brac University, 2022-01)We present a color vision system that utilizes deep neural net- works to normalize pictures using the autoencoder algorithm. Image processing, encoding, and decoding are the three essen- tial processes in the proposed ... -
Masked face identification using face recognition
(Brac University, 2022-05)This work intends to express one of the several well-known biometric authentications entitled Masked Face Identification models by applying current Face Recognition algorithms and public masked face raw data that predict ...
