Browsing by Subject "Neural network"
Now showing items 1-20 of 48
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Analysing neural network models for detecting panic attacks with uncertainty analysis
(Brac University, 2024-01)In our society and around the world a lot of people suffer from panic attacks. These panic attacks can be mild or very intense physical stimulations that may incapacitate an individual at the spot when the panic attack ... -
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)Throughout time, there has been a surge of hostile activities in public places across the globe. With the advancement in technology, it has been possible to monitor public places through real time surveillance. Video ... -
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
(Brac University, 2023-01)Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Networks (INNs), there are several neural network (NN) architectures ... -
Analysis of uncertainty in different neural network structures using monte carlo dropout
(Brac University, 2023-01)Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ... -
Audio recognition using feed forward neural network optimized by principle component analysis
(BRAC University, 4/18/2017)In our proposed model we have used PCA as dimension reduction technique and neural network for pattern recognition. Our goal was to recognize audios of two vowels spoken by Parkinson’s disease Patient. The vocal of these ... -
Automated fabric color prediction
(Brac University, 2023-05)"This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile ... -
Bangla grammar and spelling check using machine learning
(Brac University, 2023-01)Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of millions of native speakers worldwide. Thousands of books are written in the Bangla language every year, and millions of people register ... -
Bangla license plate recognition using convolutional neural networks (CNN)
(BRAC University, 12/24/2017)In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) are using massively in the field of computer vision and machine learning. This deep learning technique provides ... -
Brain tumor detection through image processing
(Brac University, 2021-01)Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ... -
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)The brain is the command center of our nervous system, which enables thoughts, memories, movements, and emotions. In other words, it is the most important organ in the human body. The human brain is very vulnerable to ... -
Crowd source based traffic analysis using machine learning algorithm
(BRAC Univeristy, 8/21/2017)One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ... -
Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
(Brac University, 2021-10)With the introduction of blockchain technology in recent years, there has been a mas sive increase in the use of Cryptocurrencies. In any event, due of the market’s un predictable behavior and excessive cost volatility, ... -
Decipherable classification of glaucoma using deep neural network leveraging XAI
(Brac University, 2022-01-18)Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic ... -
Detection of violent activity in surveillance system using different deep learning techniques
(Brac University, 2023-09)In the past decade, surveillance cameras have been a necessary integration for security measures in all types of localities. The omnipresence of these devices has substantially aided in tackling violent criminal activities. ... -
Drone detection by neural network using SURF feature and GLCM method
(BRAC University, 2018-04)This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which are data acquisition, preprocessing and classification. ... -
End to end Bangla handwritten and scene text detection using convolutional neural network
(BRAC University, 8/21/2017)Handwritten text detection from a natural image has a large set of difficulties. A systematic approach that can automatically recognise text from handwriting, printed books, road signs and also classifies text and nontext ... -
Enhanced CNN approaches for multi-image embedding in image steganography
(Brac University, 2024-05)In today’s world of information and communication tools, data security is critical for information diffusion. With the growth of extensive multimedia sharing and secret discussions, data concealment has become increasingly ... -
Enhanced hate speech detection in social media using transformer-based models
(Brac University, 2024-01)Hate speech on social media can escalate into ”cyber conflict,” detrimentally impacting social life. With the exponential growth of Internet users and media content, identifying abusive language in audio and video content ...
