Browsing by Subject "Machine learning."
Now showing items 21-40 of 51
-
Feature based mobile phone rating using sentiment analysis and machine learning approaches
(2018)This project proposes a model of sentiment analysis of different features of different company’s mobile sets and rating them overall. Customers before buying a phone check reviews to get a better understanding of the device ... -
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)Although smartphones have already become the de facto tool for environmental health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ... -
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ... -
Fruit and vegetable freshness detection using deep learning
(Brac University, 2022-09)Bangladesh’s economy depends on agriculture, which contributes significantly to GDP. It’s time to automate agriculture for increased productivity, efficiency, and sustainability. Computer Vision can assist in ensuring ... -
Heart disease prediction using machine learning algorithms
(BRAC University, 2019-04)According to recent survey by WHO (World health organization) 17.9 million people die each year because of heart related diseases and it is increasing rapidly. With the increasing population and disease, it is become a ... -
High frequency rainfall prediction using machine learning approach to numerical weather modelling
(Brac University, 2021-06)The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ... -
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ... -
Implementing a recommender system for CS undergraduate students using machine learning
(Brac University, 2019-04)E-learning is a learning process that accesses educational curriculum using electronic technologies and can be operated anywhere in the world where there is facility to connect to the internet. Traditional teaching ... -
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ... -
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ... -
Machine learning approach for ECG analysis and predicting different heart diseases
(BRAC University, 2018-12)In the modern world, there have been some revolutionary advancement in the field of medical science and research and this is no different for electrocardiogram. Electrocardiogram (also abbreviated as ECG) illustrates the ... -
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ... -
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)The Internet of Things is best stated as a network of “things” that have the ability to generate and share information between themselves and interact with the environment according to the percepts from this environment. ... -
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ... -
Mobile sensors based human activity recognition using machine learning with explainable ML
(Brac University, 2021)Based on the data collected from the sensors of smartphone a region that has garnered a lot of interest has a consequence of the growing popularity in the numerous variety for pertaining to applications(i.e. Real world ... -
Monitoring of endangered fish using image processing and AI tools
(Brac University, 2018-12)Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ... -
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ... -
Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ... -
Multimodal human detection in disaster situations using deep learning & artificial intelligence
(Brac University, 2022-09)Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences ... -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
(Brac University, 2022-01)The Internet of Things (IoT) is a term that refers to billions of actual gadgets all over the universe that are connected to the network, participating in all social events, and sharing data. It is the most recent ...