Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 441-460 of 1496
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Automation of thesis management
(Brac University, 2022-05)At present, the idea of managing thesis or project work, or any work of that sort for a student and keeping track of all the due works with a rapidly paced deadline is often gruesome. For instructors and supervisors, ... -
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
(Brac University, 2022-05)One of the most devastating cancers in the world is lung cancer. It is estimated that nearly a third of the world’s cancer fatalities are due to lung cancer. Diagnosis and treatment of primary and metastatic cancers ... -
Krishoker-Hut: a novel approach to empower rural agricultural trade through technology
(Brac University, 2022-05)Agriculture is often considered as the key driver of economic growth in Bangladesh. However, many farmers residing in the rural areas barely even live hand-to-mouth. It is well established that farmers are ill paid given ... -
Analyzing optimization landscape of recent policy optimization methods in deep RL
(Brac University, 2022-05)In this work we will analyze control variates and baselines in policy optimization methods in deep reinforcement learning (RL). Recently there has been a lot of progress in policy gradient methods in deep RL, where ... -
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)Cancer is known to be one of the most lethal diseases among all the diseases in the world. It is clinically known as ’Malignant Neoplasm which is a vast group of diseases that encompasses unmonitored cell expansion. It ... -
Rendering interactive 3D scene as a web-page using Three.js, WebGL, and Blender
(Brac University, 2022-05)Building websites are the most sought skill in the tech world today. It has a low barrier of entry and is relatively easier to learn. Therefore, there is an abundance of web developers in our current market. Unfortunately, ... -
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)The next level of revolution toward a better world could involve combining human security with machine intelligence. In recent years, stalking in public areas has become a pervasive issue, and women are disproportionately ... -
In quest of an improved algorithm for transforming plane triangulations by simultaneous flips
(Brac University, 2022-05)In this thesis we have studied the problem of transforming one plane triangulation into another by simultaneous flips of diagonals. A triangulation is a simple planar graph consisting of only 3-cycle (triangles) faces ... -
Weather forecasting using Deep Learning
(Brac University, 2022-09)Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources to solve mathematical equations that are based on climatic circumstances. As a result, during the past ten years, ... -
Enrichment of indigenous pre-primary education of Bangladesh through HCI
(Brac University, 2022-05)There are some indigenous peoples currently residing in Bangladesh. Most of them are in the hilly area in the southeast part of the country. These areas of Bangladesh are tough to reach. Even though modern technology ... -
Early detection of cervical cancer using deep neural networks
(Brac University, 2022-05)Cervical cancer is a disease that is mostly preventable, but it is one of the major causes of cancer fatality in women worldwide. Several studies say that annually 2,60,000 women die because of cervical cancer. Chronic ... -
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)The objective of this study was to develop a technique for calculating the ages of people’s brains by analyzing EEG data signals and using machine learning algorithms on a Raspberry Pi. We employed many machine learning ... -
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing to privacy concerns. Therefore, data collection ... -
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)As one of the fastest and most prominent deep learning technologies being fiddled with today, sentiment analysis is capable of revealing an individual’s true emotions by analyzing their facial speech, text, facial ... -
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
(Brac University, 2022-09)Moiré artifacts is a special type of noise which is rarely considered in deep learning based image processing tasks. But with the increasing number of digital screens like TV, laptop, desktop screens etc. it is becoming ... -
Ecommerce Web Application
(Brac University, 2022-09)ECommerce is the term used to describe the selling of products and services online. It’s one of the most dynamic industries in the world, and it’s growing faster than ever in the past few years. In 2016, ecommerce sales ... -
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)Fundus images are commonly used by medical experts like ophthalmologists, which are very helpful in detecting various retinal disorders. They used this to diagnose the different types of eye diseases like Cataracts, ... -
Sentiment analysis on E-commerce based product reviews using machine learning algorithms
(Brac University, 2022-05)Opinions from others can be important when a choice is necessary, mainly when valuable resources such as time and wealth are involved. People often depend on their peers’ past experiences. The analysis of sentiments or ... -
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)Demand forecasting is mainly a process whereby analyzing historical sales data, strategic and operational strategies are devised in order to estimate customer demand. One of the most fundamental aspects of supply chain ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ...
