Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 661-680 of 1497
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ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
(Brac University, 2021-09)Due to the rapid development of the advanced world of technology, there is a high increase in devices such as smartphones and tablets, which increase the number of applications used. Though an application has to pass the ... -
X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)Diagnosis with X-Rays and other forms of medical images has soared to new heights as an alternative visual Covid infection detector. Radiographic images, primarily CT scans and X-Rays images play massive roles in assisting ... -
An Analysis on Bengali handwritten conjunct character recognition and prediction
(Brac University, 2021-01)In the very active field of handwriting recognition, a lot of research can be found in the detection of the handwriting of various languages, especially English. However, for languages like Bengali, while they hold some ... -
Community search from multi-attributed large social graph
(Brac University, 2021-01)With the constant evolvement of social network structure, complex data, as well as graph structure, has been growing with increasing importance to model the interconnection of various entities. Community spot is a method ... -
Physiological sensor based affective state recognition
(Brac University, 2021-01)With rapid advancements of Medical IoT sensors in recent years, using them to recognize an individual’s affective state has become more easily attainable. If an individual’s physiological signals are recorded while they ... -
Malware detection in blockchain using CNN
(Brac University, 2021-01)The inherent decentralized nature and peer-to-peer system of the blockchain’s popularity has been on the rise in recent times and is being adopted in various innovative applications. This technology claims to be one of ... -
Utilization of machine learning classifiers to predict different forms of mental illness: schizophrenia, PTSD, bipolar disorder and depression
(Brac University, 2021-06)The most alarming, yet abstained issue of our so-called ‘Generation Z’ is mental health. While there are seminars, psychotherapy and awareness procedures initi ated to tackle this issue in many developed countries, it is ... -
Monitoring driver awareness through eye tracking
(Brac University, 2021-01)Driving is a task that requires a high level of focus for the security of not just the person driving but also other drivers and passengers out on the road. Hence, it is a difficult task, as a human being might not be able ... -
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 ... -
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, ...
