Browsing by Subject "Artificial intelligence"
Now showing items 41-60 of 88
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Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
(Brac University, 2019-04)This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ... -
Generation of realistic images from human drawn sketches using deep learning
(Brac University, 2022-01)Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ... -
Graph data mining-based community clustering for gender-biased community detection of social media
(Brac University, 2023-05)One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ... -
Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models
(Brac University, 2022-01-20)The rapid climate change and scarcity of fertile land has been a global concern recently. To sustain the food supply its high time to think about the modern way of cultivating which is greenhouse. Taking these changes as ... -
Hand gesture recognition using ensemble method
(Brac University, 2023-05)Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ... -
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 ... -
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 ... -
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 ... -
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
(Brac University, 2021)Image segmentation is a fundamental section of the current healthcare system to segment and detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue, malaria, heart disease, ... -
Implementation of diffusion model in realistic face generation
(Brac University, 2024-01)Realistic Face Generation has emerged as a compelling area of research in the field of Artificial Intelligence and it has gained massive attention through the people as it has significant usage in many sectors. Its ... -
Intelligent assisted living in pregnancy
(Brac University, 2022-01)Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ... -
Intelligent Character Recognition system for visually impaired people
(BARC University, 2017-12)The project is to develop a system, which use optical character recognition (OCR) software to detect words, line and paragraph, pronounce that accordingly. Furthermore to help a visually impaired people. We also added few ... -
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ... -
An interpretable transformer based approach to classify Malaria from blood cell images
(Brac University, 2023-01)Malaria is a disease that can be fatal, and it is spread through the bite of the female Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ... -
Investigation assistant with suspect anticipating intelligence
(Brac University, 2019-08)Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer ... -
License plate recognition
(Brac University, 2023-05)In today’s ever-growing technological society, Automatic License plate Recognition, ALPR, has many implications for solving traffic-related applications and transporta- tion planning. Identifying cars in pursuit or stolen ... -
Machine learning approach for improving decision support in ICU
(BRAC University, 2018-07)Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ... -
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
(Brac University, 2024-01)Just as the digital transformation of everything in this ‘Information Age’ has acted substantially to mitigate conventional crimes to a degree, the rate of cyber crime has parallelly elevated alarmingly. As malware has ... -
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 ... -
Mitigation of hallucination and interpretations of self attention of Mistral 7B AI to analyze and visualize context understanding ability of large language models
(Brac University, 2024-01)In recent years, Large Language Models(LLM) have shown excellent performance in a variety of Natural Language Processing tasks. However, they often produce hallucinated content. Contents that are seemingly correct and ...
