Browsing by Subject "LSTM"
Now showing items 21-39 of 39
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Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)This research introduces a hybrid recommendation system through sentiment analysis for Bangla long textual sentences. Social media, as a vast source of opinions, can be harnessed through sentiment analysis using deep ... -
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)Internet-based resources are utilized by the vast majority of individuals today. The news published on websites and shared on social media platforms are examples of such resources. Due to the increasing number of content ... -
IoT based air components collection for machine learning reinforcement
(Brac University, 2022-05)Air pollution has been a noteworthy threat for a long time now in the 21st century. Human lives have never faced such an obscene amount of threat from the very air it needs to breathe to stay alive. As technology evolves ... -
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 ... -
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 ... -
RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
(Brac University, 2020-12)Getting calls for ransoms are common phenomena in kidnapping and abduction related incidents where the life of the victim remains extremely vulnerable. These phone calls are often analyzed in real-time by law enforcement ... -
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)As one of the fastest and most prominent deep learning technologies being fiddled with today, sentiment analysis is capable of revealing an individual’s true emotions by analyzing their facial speech, text, facial ... -
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. ... -
Sentiment analysis in Bengali Text using NLP
(Brac University, 2023-01)Natural Language Processing, a branch of AI, teaches computers to understand speech and text in multiple languages. Machine learning or deep learning techniques can be used to develop rule-based models of human-spoken ... -
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ... -
Short term load forecasting based on Internet of Things (IoT)
(BRAC University, 2018-04)In the era of internet every device is getting connected to the internet. In this paper, we have assumed that IoT devices can share their power consumption history. Based on data points collected from real world environment ... -
Stock Market Price movement prediction using RNN and Point-weight Sentiment
(Brac University, 2022-01)Predicting the price of stocks has always been an exciting and challenging field for academics and investors for a long time as it helps to gain high-profit margins for investment companies, investors, and emerging ... -
Stock price prediction using time series data
(Brac University, 2019-08)Researchers has taken a lot of years to make algorithms fast and accurate enough to make stock price predictions accurately. Investors are looking for smarter techniques to forecast stock prices for investments and this ... -
A study on the efficacy of natural language generation techniques for similar writing personalities
(Brac University, 2024-01)Over the past two decades, the domain of Natural Language Processing has undergone a remarkable transformation enabling machines to generate text, summarize content, paraphrase and analyze sentiment. The captivating idea ... -
Text classification with an efficient preprocessing technique for cross-language and multilingual data
(Brac University, 2022-09-28)The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ... -
A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
(Brac University, 2021-09)Rapid industrial growth has increased the vulnerability of systems to malfunction and permanent damage. Fault detection systems have been installed to prevent such occurrences. In order to eliminate potential life-threatening ... -
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)There are many sounds all around us and our brain can easily and clearly identify them. Furthermore, our brain processes the received sound signals continuously and provides us with relevant environmental knowledge. ... -
Violent activity detection through surveillance camera using deep learning
(Brac University, 2023-01)Surveillance camera systems have been implemented in most parts of the world to combat the rising rate of criminal activities. In the hopes of making public places safer for everyone, computer vision has also aided in ...
