Browsing by Subject "Decision tree"
Now showing items 1-20 of 44
-
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ... -
Amazon product reviews sentiment analysis using supervised learning algorithms
(Brac University, 2021)E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The ... -
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 ... -
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)Distracted driving is known to be one of the most significant reasons behind the occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of road accidents due to distracted driving has been increasing ... -
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 ... -
Automated fabric color prediction
(Brac University, 2023-05)"This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile ... -
Bank loan prediction using machine learning
(Brac University, 2023-05)The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ... -
Black swan events and machine learning
(Brac University, 2021-01)Black Swan events refer to hard-to-predict and rare events that have a low probability of occurrence but have widespread impacts whenever they occur, be it positive or negative. These events can either be in the form of ... -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ... -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
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 ... -
A counseling system to predict the study path for freshmen
(BRAC University, 2019-04)Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ... -
Credit card fraud detection using machine learning techniques
(Brac University, 2021-09)The extensive use of the internet is perpetually drifting businesses to incorporate their administrations in the online environment. As a result of the development of e-commerce websites, people and monetary corporations ... -
A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
(Brac University, 2022-01)Recruitment is a crucial task for Human Resource Management (HRM) and determines the creation of a competent workforce that eventually brings tangible and intangible benefits for companies. Employees are key elements in ... -
Detecting tweet sentiment and sarcasm on online learning during covid-19
(Brac University, 2023-01)COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ... -
Detection of mental stress using EEG signal and classifier based on reward and punishment processing
(Brac University, 2021-01)Mental stress is the main well being problem worldwide today. Mental stress is by far the most common, responsible for most of all mental-brain diseases. The high incidence, high impairment and heavy risk of illness make ... -
Edge-optimized machine learning models for real-time personalized health monitoring on wearables
(Brac University, 2024-01)Personalized health monitoring, including Human Activity Recognition (HAR) and Fall Detection, is crucial for healthcare. Traditionally, most research in this field has relied on wearable sensors to collect data. The ... -
Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
(Brac University, 2023-05)The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ...
