Browsing School of Data and Sciences (SDS) by Title
Now showing items 320-339 of 2104
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Characterization of Hepatitis B surface Antigen gene containing recombinant Pichia pastoris
(Brac University, 2019-10)Hepatitis B is a potentially life-threatening liver infection caused by the Hepatitis B virus. It is a major health problem worldwide. So, the development of safe and effective vaccines against this disease can be a huge ... -
Characterization of phytoconstituents, in vitro antioxidant activity and pharmacological investigation of the root extract of typhonium trilobatum
(BRAC University, 2015-08-25)In the present study, the phytochemical screening, in vitro antioxidant activity, thrombolytic activity, membrane stabilizing activity, acute toxicity and anti-depressant activity were evaluated using Forced Swimming Test ... -
Characterization of pseudomonas aeruginosa from hospital sewage water and nearby community water based on their multi-drug-resistant gene
(Brac University, 2023-06)Introduction: Hospital wastewater is one of the most prominent sources of antibiotic-resistant pathogenic bacteria. This study aims to find multi-drug-resistant Pseudomonas aeruginosa from the hospital and nearby community ... -
Characterization of the major risk factors Cardiovascular diseases and analysis of hypertension as a complication among the relatively newly diagnosed patients all over Bangladesh: a reflective study
(BRAC University, 2018-12)Heart related illness is a worldwide issue as of late. A large number of individuals everywhere throughout the world are experiencing some type of this sort of medical problem. The example of cardiovascular illness may ... -
Characterizing the Co-Existence of Metallo-β-lactamase and Extended Spectrum Beta-Lactamase genes in Klebsiella pneumoniae isolates in community wastewater samples of Dhaka, Bangladesh.
(Brac University, 2022-09)Background: The co-existence of MBL and ESBL in Gram-negative bacteria poses greater risk in public health and limit the range of treatment choices, even with β-lactams which is the most widely used class of antibiotics. ... -
Chikungunya virus outbreak in Dhaka, Bangladesh in 2017 - a seroprevalence study
(BRAC Univeristy, 2018-01)Chikungunya is a viral disease transmitted by mainly Aedes aegypti and Aedes albopictus mosquitoes. In 2017, Chikungunya virus was introduced into the Dhaka city of Bangladesh and triggered a massive outbreak which affected ... -
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent ... -
Chondrobot-2: A simple and efficient semi-autonomous tele-robotic lunar excavator
(© 2012 IEEE, 2012)A simple, light-weight and efficient excavation system to excavate and collect lunar regolith has been developed at BRAC university. The excavation system has a dimension of 1.21m × 0.66m × 0.74m with a total weight of 65 ... -
Choosing two technologies that best suite for making voter ID card
(BRAC University, 2008-05)Voting is an important national issue for every country and the whole voting process should be flawless and secured. To ensure free and fair election, Bangladesh needs a voting system where people can vote without any ... -
Chronic kidney disease detection using ensemble classi ers and feature set reduction
(BRAC University, 2019)Chronic kidney disease (CKD) is the gradual loss of kidney function over a duration of months or years. One in ten people are affected by it at some stage. Some ethnicities such as African Americans and South Asians are ... -
Citrus leaf disease detection by image processing
(Brac University, 2024-01)Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes to recovering from illness, early detection and accurate diagnosis are very necessary. In the last several decades, there have been ... -
A class of relativistic anisotropic charged stellar models in isotropic coordinates
(© 2014, Springer Science+Business Media Dordrecht., 2014)In this present paper, we present a class of static, spherically symmetric charged anisotropic fluid models of super dense stars in isotropic coordinates by considering a particular type of metric potential, a specific ... -
A class of super dense stars models using charged analogues of Hajj-Boutros type relativistic fluid solutions
(© 2014, Springer Science+Business Media New York, 2014-10)We present a spherically symmetric solution of the general relativistic field equations in isotropic coordinates for perfect charged fluid, compatible with a super dense star modeling. The solution is well behaved for all ... -
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ... -
Classi fication of motor imagery tasks based on BCI paradigm
(Brac University, 2019-09)Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ... -
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 classification and prediction based approach for real-time ETP outlet monitoring through E-IoT and remote sensing using machine learning and deep learning
(Brac University, 2021-01)Water is a vital element in our environment but day by day water pollution is increasing in an alarming rate in our country. In Bangladesh’s perspective, industries such as textile and ready-made garments (RMG) contribute ... -
Classification of arsenic contamination in water using Machine learning
(BRAC University, 1/14/2014)Arsenic is a semi-metal element in the periodic table that is odorless and tasteless. It enters drinking water supplies from natural deposits in the earth or from agriculture and industrial practices. In South Asian ... -
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 ... -
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)In agriculture, soil is one of the most potential output sources. That is why, if we can foresee the soil’s nature and how it will turn in the future as well as it’s other qualities, we may achieve adequate monitoring ...