School of Data and Sciences (SDS)
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Multidrug Resistant Salmonella Spp. and Staphylococcus Spp. Isolated from milk in Dhaka City
(Brac University, 2021-03)The foodborne pathogen Salmonella spp. and Staphylococcus spp. are responsible for a food borne disease affecting both humans and animals. To evaluate the presence of these nuisance bacteria, a total of 61 samples ... -
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ... -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
(Brac University, 2022-01)The Internet of Things (IoT) is a term that refers to billions of actual gadgets all over the universe that are connected to the network, participating in all social events, and sharing data. It is the most recent ... -
Automatic attendance system using facial recognition
(Brac University, 2022-01)Artificial Intelligence has brought revolutionary change all around the world prov ing its effectiveness almost in every aspect. AI is not only a science-fiction dream anymore, but also a constant part of our everyday ... -
Internship as a young professional under the application team of Business Automation Ltd.
(Brac University, 2022-01) -
Isolation of β-Lactam & Colistin Resistant Bacteria and associated β-Lactamase & CLR Gene from animal originated food
(Brac University, 2022-01)After the COVID-19 outbreak, the emergence of antimicrobial resistance among bacterial pathogens is another concern for public health. This study was designed to investigate the presence of multi-drug resistant β-lactamase ... -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
(Brac University, 2021-01)Cryptocurrency has been a fascinating topic of many over the past few years, as many people are starting to trade these currencies for big cash-outs. It is a decentralized digital currency. It is a cryptocurrency that ... -
Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
(Brac University, 2022-03)Since 1970, researchers have been attempting to recognize and comprehend spontaneous speech. For an automatic voice recognition system, many techniques were employed. People always choose English for voice recognition ... -
Stock Market Price movement prediction using RNN and Point-weight Sentiment
(Brac University, 2022-01)Predicting the price of stocks has always been an exciting and challenging field for academics and investors for a long time as it helps to gain high-profit margins for investment companies, investors, and emerging ... -
Prevalence of Salmonella spp. in Vegetables: A Review Paper
(Brac University, 2022-03)A number of studies have found a link between salmonellosis outbreaks and the eating of raw vegetables. This study is a literature evaluation on the prevalence of Salmonella spp. in fresh vegetables that was conducted ... -
Performance enhancement of 5G Network using NB-IoT with LTE-M and Novel RASS Algorithm
(Brac University, 2022-01)With the fast growth of heterogeneous technology, today’s world is influenced by the Internet of Things (IoT) in immense ways. IoT networks connect resource constrained devices to provide automatic services which require ... -
A review on Mucormycosis in view of COVID-19, Diabetes and the role of Iron
(Brac University, 2021-10)COVID-19 has made people all over the world susceptible to other diseases caused by various microorganisms. One of them is caused by a fungus called mucormycosis or black fungus. Together with diabetes and COVID-19, it ... -
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional data, particularly in the field of computer vision. As ... -
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ... -
An Efficient deep learning approach to detect Brain Tumor using MRI images
(Brac University, 2021-10)A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ... -
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ... -
Simulating the transformation of plane triangulation using edge flip algorithms
(Brac University, 2021)In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ... -
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
A comparative study of object detection models for Real Time Application in Surveillance Systems
(Brac University, 2022-01)In this paper, we attempted to give an overview based on thorough research and test ing of the latest object detection methods with an aim to help developers to build a Real Time Responsive CCTV Camera Model. As we welcome ... -
Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
(Brac University, 2022-01)2D computer vision and activities related to medical image analysis are remarkably guided with the help of Convolutional Neural networks (CNNs) in recent years. Since a chief portion in the available clinical imaging ...
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