Browsing by Subject "KNN"
Now showing items 1-20 of 23
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Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
(Brac University, 2021-09)The students are at a loss when it comes to choosing their major or field of work due to inefficient school system and decision making of the parents. This problem can be resolved to some extent by using classifiers. ... -
An analysis on the effects of parenting style on offspring’s behavior using machine learning
(Brac University, 2022-12-04)Parents are usually the most important person for a human being as they encourage and support an offspring’s physical, emotional, social, and intellectual development from infancy to maturity. An individual faces various ... -
Analysis on the effects of wallstreetbets on the stock market
(Brac University, 2022-01)In January of 2021, the stocks of various companies, i.e. Gamestop, AMC etc. had a huge surge in price. The incident was attributed to redditors of the subreddit called r/wallstreetbets making a massively coordinated ... -
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
(Brac University, 2020)Over the years, data mining and machine learning have proved to be very convenient in numerous fields of science and technology and their applications in the medical sector is an emerging one. With the world population ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
(Brac University, 2022-09-28)Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ... -
A comparative analysis of emotion recognition using EEG signals with a channel selection technique
(Brac University, 2021-01)Emotion can be defined as the neurophysiological changes people experience due to significant internal or external occasions. This is a mental condition that can a↵ect a person’s behavior, mood, way of life, and relationship ... -
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ... -
Document template identification and data extraction using machine learning and deep learning approach
(Brac University, 2024-01)As the world keeps progressing and we continue on our path to a technologically advanced tomorrow, the demand for quick data processing and organization is becoming more and more necessary. People now have access to ... -
Handwritten character recognition and prediction of age, gender and handedness using machine learning
(BRAC University, 2018)Handwritten character recognition and prediction of age, gender & handedness from handwritten documents offers an interesting research problem for researchers as few research carried out on this field. The aim of this ... -
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)Predictive analytics has received a lot of attention in recent years due to advances in supporting technology, particularly in the areas of big data and machine learning. In recent years, the uses of disease prediction ... -
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 ... -
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while ... -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
(Brac University, 2021-09)Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector, farmers are largely incapable of using scientific technology to maximize crop yield and identify which crops can be grown in ... -
Machine learning In breast cancer prognosis and prediction
(Brac University, 2022-05-19)In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ... -
Market sales prospecting by analyzing customer buying pattern using machine learning
(Brac University, 2019-08)For improving business, the organization needs to analyze the buying pattern of their customer to keep track of all products that are being sold the most so that they could keep the stocks of those products and remove ... -
Parking data analysis
(Brac University, 2023-03)Car parking is a hassle for everyone in one word, but when it is in a country where population is an issue, parking problems can easily stress someone out. Car parking is a key contributor to traffic congestion and has ... -
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, ... -
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of cyber-attacks take place every day, the development of a more secured system so ... -
Skin disease detection and classification using deep learning
(Brac University, 2022-01)Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
