Browsing by Subject "Cognitive learning theory"
Now showing items 1-20 of 40
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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 ... -
Analyzing optimization landscape of recent policy optimization methods in deep RL
(Brac University, 2022-05)In this work we will analyze control variates and baselines in policy optimization methods in deep reinforcement learning (RL). Recently there has been a lot of progress in policy gradient methods in deep RL, where ... -
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ... -
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 ... -
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)Road accidents are one of the major causes of fateful deaths in Bangladesh. In most cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking the major task is to decide whether the overtaking ... -
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)Waste management refers to a system that starts with classifying different kinds of waste and gradually managing it from its inception to its final disposal. Labeling waste in a proper manner can ensure the best outcome ... -
Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
(Brac University, 2023-01)As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ... -
CattleSavior: towards implementing an advanced external disease detection system through deep learning
(Brac University, 2023-08)"Lumpy Skin Disease (LSD), Foot and mouth (FMD), and Infectious Bovine Keratoconjunctivitis (IBK) are some of the most common external diseases of cattle in Bangladesh. Besides, these diseases are highly contagious. Thus, ... -
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ... -
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)At the point when cells in the body develop out of control, this is alluded to as cancerous development. Lung cancer is the term used to depict cancer that starts in the lungs. At first in the field, classifier-based ... -
A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
(Brac University, 2023-04)Nowadays, social networking sites like Facebook and Twitter have become an sig- nificant impact on our lives . We use such sites to remain in touch with one another and as a source of news to stay informed about current ... -
Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
(Brac University, 2024-01)"The intention of autonomous license plate (LP) detection is to find an LP spot in a picture without any kind of human intervention. Automatic license plate detection (ALPD) techniques have been developed; however, the ... -
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
(Brac University, 2021-09)In the current ongoing world of the IoT (Internet of Things) devices, it is absolutely vital to have a safe, secure and reliable cyberspace. A cyberspace or network where it is free from all sorts of unethical activities ... -
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 ... -
Detection of Deepfake using computer vision and deep learning
(Brac University, 2023-05)In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ... -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ... -
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 ... -
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)The brain is the most complicated organ that manages every bodily function as well including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature, and appetite. Any type of disease or damage ... -
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 ...
