Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 375-394 of 1583
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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 ... -
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 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 through advanced machine learning techniques
(BRAC University, 2024-10)Nowadays, digital and electronic transactions and electronic payments systems in modern days have become convenient but now it is a major challenge to face credit card fraud. Modern fraud patterns are so complex and ... -
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 ... -
Criminal activity detection from videos under low light condition using deep neural network
(BRAC University, 2024-10)Criminal activity detection from footage, especially in low-light circumstances, offers a considerable problem due to reduced visibility, noise, and detail loss. In this research, we present an approach for detecting ... -
Criminal activity detection using deep learning algorithms
(Brac University, 2021-01)Criminal activities using guns and knives occur very frequently. The quick and accurate detection of a criminal activity is paramount to securing a place where people usually gather every day. More and more security ... -
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 ... -
Crop monitoring system using image processing and environmental data
(BRAC University, 2018)We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ... -
Crop pest recognition using image processing
(BRAC University, 2024-10)One of the most vital aspects of a human’s existence is food. Each food contains several nutrients which help in growth and development of the human body. It also prevents our body from various diseases. Most of the food ... -
Crop prediction based on geographical and climatic data using machine learning and deep learning
(BRAC University, 2018-12)Agriculture is the basic source of food supply in all the countries of the world—whether underdeveloped, developing or developed. Besides providing food, this sector has contributions to almost every other sector of a ... -
Crop yield prediction using machine learning and deep learning
(BRAC University, 2023-01)Bangladesh is an agrarian country. Though, a substantial portion of our economy and workforce depends directly or indirectly on agriculture. However, due to climate change, floods, insufficient incentives, and less grist ...
