Browsing by Subject "RNN"
Now showing items 1-20 of 25
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Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)Predicting financial data is really important for investors Often times investors do not have a proper tool to properly assess the market and forecast their predictions. Furthermore, not only investors in modern day ... -
Analyzing area-wise air pollution level using machine learning for a better future
(Brac University, 2021-09)Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ... -
Application of deep learning in MRI classification of Schizophrenia
(Brac University, 2023-01-23)In today’s world, when people are suffering from complex brain diseases, MRI has been playing a very significant part in understanding brain functionalities and its abnormalities. Deep learning has been recently used for ... -
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)Experiencing an image on-screen is a privilege that we often seem not to care about. A visually impaired person does not have that luxury. A system that can automatically produce closed captions of an image can thus help ... -
Bangla hate speech detection on social media using attention-based recurrent neural network
(De Gruyter, 2021-04-09)Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in ... -
Bangla optical character recognition from printed text using Tesseract Engine
(Brac University, 2021-01)Optical Character Recognition or OCR is a technology that enables us to detect and extract text from images. In our project, we are designing our OCR system around the Bangla language. This is primarily because, there are ... -
Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
(Brac University, 2019-08)In the area of machine learning, speech recognition was always a hot topic but as world's 8th most widely spoken language Bangla hasn't got the focus as much as she deserved. This research will be on speech recognition ... -
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)Demand forecasting is mainly a process whereby analyzing historical sales data, strategic and operational strategies are devised in order to estimate customer demand. One of the most fundamental aspects of supply chain ... -
Encrypting sentiments: a study on integrating encryption module with NLP pipeline to analyze emotions while ensuring security
(Brac University, 2024-10)This research delves into the critical role of encryption in Natural Language Processing (NLP), emphasizing its significance as an emergency text platform, akin to a text-based emergency broadcast service. The study ... -
From impersonation to authentication: techniques for identifying deep fake voices
(BRAC University, 2024-10)The proliferation of fake voices has become a concerning issue, making it increasingly challenging to distinguish between authentic and fabricated audio recordings. Notable examples include the replication of the voices ... -
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 ... -
Human sentiment analysis using natural language processing
(Brac University, 2023-05)"Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ... -
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)With the emergence of Generative Models for creating Deepfake images, and videos of high quality, which are extremely realistic and hard to recognize, several social, and political issues have come to light. DeepFakes ... -
Loan approval prediction using machine learning algorithms
(BRAC University, 2024-10)This research describes the potential of several classifiers of classical machine learning and architecture of deep neural networks when predicting the status of a loan application. The data set of 613 observations and ... -
Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
(Brac University, 2023-05)Throughout the world, millions of people and their families are impacted by the serious illness of cancer. The total number of new cancer cases worldwide in 2020 was predicted to reach 18.1 million. Serious emotional ... -
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 ... -
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 ... -
Predictive analysis of non fungible token price using deep learning
(Brac University, 2023-09)A form of digital asset called Non-fungible tokens can represent a wide range of objects, such as pieces of art, collectibles, and in-game items. Non-fungible tokens are also commonly referred to by their acronym, NFTs. ... -
RED-LSTM: Real time emotion detection using LSTM
(Brac University, 2023-01)The development of the Internet of Things and voice-based multimedia apps has allowed for the association and capture of several aspects of human behavior through the use of big data, which consists of trends and patterns. ...
