Browsing by Subject "Cognitive learning theory (Deep learning)"
Now showing items 21-40 of 60
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Deep learning-based real-time pothole detection for avoiding road accident
(Brac University, 2022-01)Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ... -
Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)A smart waste management system plays a vital role in building cleanliness, hygienic, and healthier living for the inhabitants of a city. However, the inherent problems of the waste management system are still a matter ... -
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
(Brac University, 2022-09)Moiré artifacts is a special type of noise which is rarely considered in deep learning based image processing tasks. But with the increasing number of digital screens like TV, laptop, desktop screens etc. it is becoming ... -
Density based traffic control system for a four way intersection
(Brac University, 2023-01)Intelligent traffic system is not new to this modern world in order to mitigate traffic congestion. However, a proper management plan for a four way intersection lacks in our cities. An enhanced and optimized system is ... -
Diabetic retinopathy detection and classification by using deep learning
(Brac University, 2022-01)Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ... -
Document template identification and data extraction using machine learning and deep learning approach
(Brac University, 2024-01)As the world keeps progressing and we continue on our path to a technologically advanced tomorrow, the demand for quick data processing and organization is becoming more and more necessary. People now have access to ... -
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ... -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ... -
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ... -
An efficient deep learning approach to detect citrus leaves disease
(Brac University, 2023-01)Bangladesh is one of the leading exporters of citrus. The country has been exporting citrus fruits to more than 60 countries annually. The main risk that citrus disease poses to crop yield is through contact with infected ... -
An efficient deep learning approach to detect skin Cancer
(Brac University, 2021-09)Each year, millions of people around the world are affected by cancer. Research shows that the early and accurate diagnosis of cancerous growths can have a major effect on improving mortality rates from cancer. As human ... -
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. ... -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ... -
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ... -
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, ... -
Gender classification in Bangla language using deep learning-based voice analysis
(Brac University, 2023)Gender classification based on voice analysis is one of the elemental tasks in speech and audio processing, with various applications such as speech recognition systems, voice assistants, call center analytics, etc. For ... -
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 ... -
Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
(Brac University, 2022-05)The COVID-19 pandemic has significantly affected day to day lifestyle all over the planet by disequilibrating social order. It moreover added anxiety about the capability of the world’s democracies to cope with the vital ... -
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
(Brac University, 2021-10)Nature and technology are two di erent subject matter with having much dissension between each. Only a few years back, technological growth looked like a threat to nature. However, the bene t of having huge computational ... -
An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...