Browsing by Subject "Neural networks"
Now showing items 1-20 of 22
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An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
(BRAC University, 2015-08)Word sense disambiguation is a significant task in natural language processing and addresses an old problem in the field of computational linguistics. Word sense disambiguation facilitates tasks like machine translation, ... -
Bangla text classification using machine learning and deep learning techniques
(Brac University, 2021-09)At present, we have seen everything is getting digitized where technology almost takes full control over our life. As a result, a massive number of textual documents are generated on online platforms and news articles ... -
Brain image fMRI data classification and graphical representation of visual object
(Brac University, 2018-12)Analyzing neuroimaging data has become a research of interest these days because of their several applications starting from analysis of brain region connectivity to analysis of ventral streams and visual stimuli. In ... -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ... -
Clustering and detection of good and bad rail line anchors from images
(© 2015 Institute of Electrical and Electronics Engineers Inc., 2016-06)Absence of railway anchors/fasteners is a serious concern as it might lead to severe consequences such as train derailments. Hence regular inspection is an obligation to ensure safety. The third world countries choose the ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)The next level of revolution toward a better world could involve combining human security with machine intelligence. In recent years, stalking in public areas has become a pervasive issue, and women are disproportionately ... -
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 ... -
Deepfake detection using neural networks
(Brac University, 2021-09)Deepfake is a sort of arti cial intelligence that forge original image or video and create persuading images, audio and video hoaxes by utilizing two contending AI algorithms-the generator and discriminator that form a ... -
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)In recent years, mental health deterioration cases have increased exponentially indicates that this issue needs our attention. Stressful situations of our daily life such as excessive study load, relationship predicaments, ... -
Heart disease prediction system
(Brac University, 2022-01)[1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ... -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
(Brac University, 2023-01)This paper is intended to be a practical guide in terms of getting up and running with reinforcement learning. Ideally, it aims to bridge the gap between practi cal implementation and the theories available for RL. The ... -
An integrated approach: fake review detection using convBERT-BiLSTM classification
(Brac University, 2024-01)In the era of E-commerce, online reviews significantly shape consumer buying decisions and store evaluations. However, the prevalence of unethical practices such as review manipulation poses a considerable challenge. ... -
Intranasal Vasopressin — a potential drug proven to control the symptoms and behaviours of autism spectrum disorder: a review
(Brac University, 2022-03)"Autism spectrum disorder (ASD) is a neurodevelopmental disorder marked by impaired socio-emotional behaviours, communication, motor functions, hyper-fixation and sensory overstimulation, and has received much attention ... -
A machine learning approach to detect DeepFake videos
(Brac University, 2021-06)DeepFake detection is important as the internet is a big part of our lives. DeepFake photos and videos can easily mislead us into thinking something that probably did not happen. It can also reduce trust in the media. ... -
Performance analysis of machine learning classi ers for detecting PE malware
(Brac University, 2019-12)In this modern era of technology, securing and protecting one's data has been a major concern and needs to be focused on. Malware is a program that is designed to cause harm and malware analysis is one of the paramount ... -
Pothole detection using lightweight network models
(Brac University, 2024-01)Potholes are defective cavities found on road surfaces. Potholes can lead to serious accidents and vehicle damage if not properly detected. Thus, we are proposing the use of neural network models for pothole classification. ... -
Predicting criminal activities analyzing video signal using machine learning
(Brac University, 2020-04)Criminology is a method that is used to perceive wrongdoing and criminal qualities. The crooks and the wrongdoing occasion likelihood can be overviewed with the help of criminology frameworks. Video analysis and machine ... -
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 ... -
Single and multi-view 2D image processing for enhanced 3D object reconstruction
(Brac University, 2024-05)This paper presents an efficient approach for 3D object reconstruction using Single and multi- view 2D image processing. In real-world scenarios, it also focuses on practical applications. Our approach is about the ...
