School of Data and Sciences (SDS): Recent submissions
Now showing items 1001-1020 of 2378
-
FoodieCal: a convolutional neural network based food detection and calorie estimation system
(Brac University, 2021-01)According to recent studies across the world, we can see that a healthy diet is the key to having a sound health and body. People nowadays are more concerned with their diets than ever before. With the advancement of ... -
UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
(Brac University, 2020-12)In recent times, Multi-access edge computing (MEC) has been introduced to assist cloud servers by bringing the computation closer to the edge. This is a well-known replacement to deal with the strict latency faced by ... -
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ... -
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ... -
Importance of antigen detection for the screening of COVID-19
(Brac University, 2020-10)Since the beginning of the COVID-19 pandemic, laboratories have been using nucleic acid amplification tests, such as real time reverse transcription polymerase chain reaction (rRT-PCR) assays, to detect SARS-CoV-2, the ... -
Quantum information theory and the black hole information paradox
(Brac University, 2020-10)This thesis discusses the information-theoretic concepts of Black Holes. Its primary focus is describing black hole dynamics with unitary operators within the perspective of quantum information theory and AdS/CFT arguments ... -
Dynamic spam detection system and most relevant features identification using random weight network
(Brac University, 2021-01)Nowadays e-mail is being used by millions of people as an effective form of formal or informal communication over the Internet and with this high-speed form of communication there comes a more effective form of threat known ... -
A deep learning approach to integrate human-level understanding in a Chatbot
(2021-01)AI-powered computers like chatbots have taken over the market today to reduce human workload. Unlike humans, chatbots reply immediately, are available 24/7 and can assist several people at the same time. Due to the ... -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
(Brac University, 2021-01)Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ... -
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 ... -
Brain tumor detection through image processing
(Brac University, 2021-01)Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ... -
LRFMV: an efficient customer segmentation model for superstores
(Brac University, 2021-06)In superstore business, the recency, frequency, and monetary (RFM) based on cus tomers’ purchase results is preferred to categorize valuable customers in order to increase profit margins. This paper develops an enhanced ... -
Conversion of Bengali speech to text using long short-term memory(LSTM)
(Brac University, 2021-01)Speech to text conversion is a remarkable topic in the field of Artificial Intelligence which is undoubtedly a significant medium of expressing human feelings and thoughts. However, if we compare it with text to speech, ... -
Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
(Brac University, 2021-06)With COVID-19 still running rampant across the world, accurate diagnosis of pa tients and proper management of medical resources is paramount in order to deliver proper care to those that need it most. In order to do this, ... -
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 ... -
Analysis of the impact of online education using EEG signals and machine learning algorithms
(Brac University, 2021-01)Online learning has allowed students from different walks of life to access a vast amount of information, allowing them to gain new skills. However, only having access to that information does not mean that the students ... -
A Comparative study on Bengali handwritten character recognition and prediction using CNN
(Brac University, 2021-01)The transcription Bengali text to digital text is neither very efficient nor accurate. This proves to be a problem because most official work in Bangladesh is traditionally done in Bengali, on pen and paper hardcopy documents, ... -
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
(Brac University, 2021-01)The rate of population growth of southern Asia is rising dramatically. As a part of this area, Bangladesh is no different. Moreover, the cultivable lands are declining at a huge rate. So to maintain the balance between ... -
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ... -
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)In this thesis we have examined the accuracy of various classifiers to predict heart disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...
