Browsing School of Data and Sciences (SDS) by Title
Now showing items 480-499 of 2154
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A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)In today's world, technological advancements have entangled our nancial, social and many more other aspects of lives to the internet or some network. Moreover, with the development of IoT technologies, it has spread ... -
Cooperative game theory based load balancing in long term evolution network
(BRAC University, 2015-12)Long term evolution (LTE) network, incompatible with 2G and 3G networks is the most promising technology for wireless communication with higher speed and capacity. Selforganized load balancing is an important research ... -
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early disease identification reduces crop loss. Manual leaf diagnostic imaging takes time and is prone to mistakes. This thesis proposes a ... -
Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
(Brac University, 2021-01)Nationwide lockdowns implemented in consequence of the devastating COVID-19 pandemic, caused noticeable improvements in air quality throughout the world. This paper implements a multivariate long-short term memory network ... -
Correlation between the prevalence of plasmids and AMR genes in the environmental isolates of different bacterial species
(2023-07)Bacterial gene transfer is responsible for spread of antibiotic resistance in bacteria and evolution of bacteria which can be a threat of virulence as well play role in maintenance. Horizontal gene transfer (HGT) is the ... -
Correlation of cancer types with stages and symptoms: analysis-based descriptive cross-sectional study
(Brac University, 2023-05)Background and aim: One of the leading causes of morbidity and mortality worldwide is Cancer which accounted for nearly 10 million deaths in recent years. Cancer arises from the transformation of normal cells into tumor ... -
Correlation of mutations with the minimum inhibitory concentrations of isoniazid drug among isoniazid-resistant Mycobacterium tuberculosis isolates in Bangladesh
(Brac University, 2023-08)Tuberculosis is still one of the major causes of mortality in the globe. Isoniazid (INH), a first-line medication used to treat tuberculosis is becoming increasingly resistant. With the rise of INH resistance we need more ... -
Cosmic super string detection using dilated convolutional neural network with focal loss
(BRAC University, 2018)Cosmic string are objects of great importance and investigation for cosmic string has been done from last 20 years. There are a lot of models to detect cosmic string.But a very few are to detect the location of cosmic ... -
A counseling system to predict the study path for freshmen
(BRAC University, 2019-04)Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ... -
Covert data transmission using secret-sharing and network steganography
(Brac University, 2024-01)The present has made us more dependent on technology than ever before. As technology develops and new fields emerge, it has become more complicated to maintain a safe, secure, and covert environment for transmitting ... -
Covid 19 pandemic is a prominent Global Crisis: Review of the Literature
(Brac University, 2021-02)The continuous scene of Covid infection 19 (COVID-19) has forced a genuine danger to worldwide wellbeing and the world economy. The illness has quickly procured a pandemic status influencing practically totally populated ... -
Covid-19 disease effects on pregnancy: a review
(Brac University, 2023-03)The objective of this review was to identify the most significant characteristics and outcomes of the pregnant individual infected with COVID-19 and to provide an overview during the perinatal period. Pregnant women are ... -
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 ... -
COVID-19 related fake news detection model
(Brac University, 2021-01)In this era of developed information and technology, any sort of information runs faster than air. The reliability of the information can be tricky at times. Some news publishing sources can publish news that are actually ... -
Creating a new Cryptographic algorithm using Collatz Conjecture
(Brac University, 2022-09)Owing to the increasing need for the security of information and data access, due to the steep increase in the rate at which there are more methods of breaking the existing algorithms, which primarily rely on a prime ... -
A credible, automated e-voting system in the context of Bangladesh
(BRAC University, 2018)Elections are believed to be the best possible way to live in democratic era and voting is one of the electoral processes that ensures the alignment of democracy in our society. In this thesis, we propose an electronic ... -
Credit card fraud detection using machine learning techniques
(Brac University, 2021-09)The extensive use of the internet is perpetually drifting businesses to incorporate their administrations in the online environment. As a result of the development of e-commerce websites, people and monetary corporations ... -
Crime mapping through digital data analysis from intermediate repository by crowd sourcing
(BRAC University, 2016-12)Crowed-sourcing operationalizes swarm insight, and it is an instrument for utilizing the aggregate knowledge of online clients toward beneficial finishes. Crime map is an instrument that visualizes crime information based ... -
Crime scene prediction by detecting threatening objects using convolutional neural network
(BRAC University, 4/13/2017)Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ... -
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)Retinal disease diagnosis by machine learning can be achieved using Deep Neural Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the potential to explain the black box of those neural network ...