Browsing by Subject "Deep learning"
Now showing items 61-80 of 123
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An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ... -
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, ... -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
(Brac University, 2021-01)Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ... -
Federated ensemble-learning for transport mode detection in vehicular edge network
(Brac University, 2023-01)Transport Mode detection has become a crucial part of Intelligent Transportation Systems (ITS) and Traffic Management Systems due to the recent advancements in Artificial Intelligent (AI) and the Internet of Things (IoT). ... -
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, ... -
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)This study shows importance hierarchy of financial factors of corporations’ Goodwill and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ... -
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)Although smartphones have already become the de facto tool for environmental health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ... -
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 ... -
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 ... -
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 ... -
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ... -
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 ... -
Image recognition by deep learning
(BRAC University, 8/21/2017)Object recognition has become a crucial topic in the field of computer vision. Poor qualities of images unable bring out the desired object as per expectancy. Many models have proposed to recognize object from image. ... -
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 ... -
Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
(Brac University, 2023-01)Massive open online course (MOOC) has been around for a while, but started to gain traction since 2012 when Coursera was established. MOOCs use pre-recorded lectures and scheduled weekly tests to provide content and ... -
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 ... -
Intracranial hemorrhage detection using CNN-LSTM fusion model
(Brac University, 2022-05)Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue and the skull or within the brain tissue itself. It is life-threatening and needs immediate medical attention. As the first response, ...