Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 1001-1020 of 1344
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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 ... -
PID controller of servo system in real time linux Environment
(BRAC University, 2008-04)This work presents an implementation of a digital PID (Proportional + Integral + Derivative) controller algorithm in real-Time Linux environment. PID controllers are well known and have a wide range of applications in ... -
Pin number detection from mobile phone scratch card using OCR on android platform and build an application for balance recharge
(BRAC University, 2014-04)This thesis aims to detect mobile recharge card pin number portion by doing image processing. It works with Tesseract Engine and tess-two library for OCR operation. After detection, it extracts the OCRed text which is the ... -
Plagiarism detection using semantic analysis
(BRAC University, 2010-04)Plagiarism in the sense of “theft of intellectual property” has been around for as long as humans have produced work of art and research. However, easy access to the Web, large databases, and telecommunication in general, ... -
Plant disease detection using convolutional neural network
(Brac University, 2020-04)Rice is a staple crop of Bangladesh and many metric tons of it are being destroyed every year due to diseases. If the diseases can be efficiently and accurately classified ed and recognized at early stage, the farmers ... -
Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
(Brac University, 2022-05)The importance of a tree’s involvement in human life and the environment cannot be overstated. Plants, like humans and animals, are susceptible to disease. Many vegetation diseases might impair a plant’s healthy development. ... -
Plant leaf disease identification
(Brac University, 2023-01)Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ... -
Plexus oriented electricity bill surveillance system
(BRAC University, 4/21/2016)Neoteric Bangladesh has indeed come up with digital electric meter but retrieving the data is still antiquated and is still not maintained by anyone in Bangladesh. Our team is trying to come up with a solution where not ... -
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)A bacterial illness called pneumonia causes inflammation in the air passages with one or even both lungs. The disease can range from mild to life-threatening. Diagnosing the disease at an earlier stage is crucial for the ... -
Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices
(Brac University, 2020-04)A medical procedure is described as non-invasive if there is no necessity for incision into the skin. Invasive methods can often be risky because there is a high chance of infection. That is why the medical sector ... -
Polycystic ovary syndrome detection using neural network.
(Brac University, 2023-01)A fairly frequent endocrine abnormality among women of reproductive age is polycystic ovary syndrome (PCOS). In this disease, the ovaries produce abnormally high levels of androgens, which are male sex hormones that are ... -
Porting open source E-learning software to mobile platform
(BRAC University, 2010-08)jMemorize is an open source learning software. It is very powerful, well designed and user-friendly software, which is widely used all over the world. jMemorize is written in java and uses Leitner flashcards to make ... -
Predicting a T20 cricket match result while the match is in progress
(BRAC University, 8/23/2015)Data Mining and Machine learning in Sports Analytics, is a brand new research field in Computer Science with a lot of challenge. In this research the goal is to design a result prediction system for a T20 cricket match ... -
Predicting Amino acid interaction network using artificial Bee colony
(BRAC University, 2015)Proteins are biological macromolecules participating in the large majority of processes which govern organisms. Amino Acids are the building block of protein and its primary structure is a linear chain of amino acids, ... -
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 ... -
Predicting climate induced floods using machine learning
(Brac University, 2022-01)Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural ... -
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, ... -
Predicting criminal activities analyzing video signal using machine learning
(Brac University, 2020-04)Criminology is a method that is used to perceive wrongdoing and criminal qualities. The crooks and the wrongdoing occasion likelihood can be overviewed with the help of criminology frameworks. Video analysis and machine ... -
Predicting depression in Bangladeshi undergraduates using machine learning
(BRAC University, 2018-12)Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ... -
Predicting depression in Bangladeshi undergraduates using machine learning
(BRAC University, 2018-12)Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
