Browsing Department of Computer Science and Engineering (CSE) by Title
Now showing items 1098-1117 of 1463
-
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 ... -
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
(Brac University, 2020-04)In this modern age, marketing strategy is becoming a new challenge. Not only the global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are ... -
Predicting election popularity of a person using crowd sensing in social networks
(BRAC University, 2015)Predicting election popularity from social network data is an appealing research topic. This covers all aspects from data collection to data representation through data processing. Although social media may provide a glimpse ... -
Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network
(BRAC University, 8/24/2015)Epilepsy is the most common chronic disease which involves 1% of the population in the world. It is a neurological disorder characterized by irregular brain tissue activity causing seizure. For many patients mental stress ... -
Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
(Brac University, 2024-01)As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid- 19 has persisted in human populations for approximately three and a half years rapidly, continually exhibiting swift and unpredictable mutations. ... -
Predicting obesity: a comparative analysis of machine learning models incorporating different features
(Brac University, 2023-05)Obesity, the excessive accumulation of body fat, is a significant health risk associated with various detrimental impacts, including the development of chronic diseases, metabolic abnormalities, joint problems, sleep ... -
Predicting peak performance of a cricket player using machine learning and data analytics
(Brac University, 2022-08-25)In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ... -
Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ... -
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ... -
Predicting stock market trend from twitter feed and building a framework for Bangladesh
(BRAC University, 2018-04)Social media has become an integral part in our day to day lives. What we share in these media are what we believe in and give others a window of opportunity to predict what is going on in our mind or how our actions ... -
Predicting subject area interest of a student using naive bayes
(BRAC University, 2016-03) -
Predicting suicidal intent from social media text post using machine learning
(Brac University, 2022-05)We are living in an age of modern science where cutting-edge technology has made the world so small. We can now easily connect with people worldwide via the internet and using social media. Social media has become a popular ... -
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)Every single day a large number of patients go to the hospital. But the fact is, facilities available in hospitals are not su cient in comparison with the number of patients. The idea of this paper is to o er a prediction ... -
Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
(Brac University, 2022-05)Given the growing and massive shock to the hotel industry, the coronavirus (COVID- 19) outbreak has generated an unexpected problem. The hotel industry is currently facing a big obstacle during the COVID period, where ...