Browsing by Subject "Deep Learning"
Now showing items 1-20 of 33
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ... -
An ambient assisted living system for Alzheimer’s patients
(Brac University, 2022-09)Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform ... -
Application of deep learning in MRI classification of Schizophrenia
(Brac University, 2023-01-23)In today’s world, when people are suffering from complex brain diseases, MRI has been playing a very significant part in understanding brain functionalities and its abnormalities. Deep learning has been recently used for ... -
Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
(Brac University, 2021-06)Conventional methods of fault diagnosis for PV Systems are quite challenging and inefficient, particularly with regards to large-scale PV arrays. Early and effective diagnosis of system faults is also imperative in order ... -
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)Uterine cervical cancer is the second most regular gynecological harm around the world. The appraisal of the degree of sickness is fundamental for arranging ideal treatment. Imaging procedures are progressively utilized ... -
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)Predicting the risk while lending money has always been a challenge for financial institutions. To make such decisions many banks or financial organizations follow different techniques to analyze a set of data. Manual ... -
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ... -
A deep learning approach to integrate human-level understanding in a Chatbot
(2021-01)AI-powered computers like chatbots have taken over the market today to reduce human workload. Unlike humans, chatbots reply immediately, are available 24/7 and can assist several people at the same time. Due to the ... -
Deep learning in Malaria and Covid19 detection
(Brac University, 2021-01)Recent days deep learning is a promising field of research which has been used in biological applications. It is deep learning which is used in biological image detection along with the transformation of analysis data ... -
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion line. Therefore, establishing a reliable and ... -
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ... -
Detection of multiple sclerosis using deep learning
(Brac University, 2021-01)Accurate detection of white matter lesions in 3D Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis is essential for diagnosis and treatment evaluation of MS. It is strenuous for the optimal treatment of ... -
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
(Brac University, 2021-06)Parkinson’s Disease is the second most common neurological disease after Alzheimer’s Disease. The disease is incurable. However, if the disease can be detected earlier, then the consequences of it’s effect can be relieved. ... -
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
(Brac University, 2021-06)The proper prediction of schizophrenia at an early stage can be very beneficial to those who are at risk of developing it at a severe stage later on. The early signs of schizophrenia include extreme reaction to criticism, ... -
Efficient image processing and machine learning approach for predicting retinal diseases
(Brac University, 2020-04)As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector ... -
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ... -
Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
(Brac University, 2023-09)Cancer, an enduring medical enigma with historical recognition dating back to ancient civilizations, remains without a definitive cure. This research undertakes a comprehensive investigation encompassing nine prevalent ... -
An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning
(Brac University, 2021-06)In late 2019, a novel Coronavirus broke out from China, which has dispersed all over the globe and has taken away countless lives. Despite the fact that every person is at risk of getting infected with the virus, older ... -
A modern technique to detect potholes by Computer Vision and Deep Learning
(Brac University, 2022-09)Roads are connecting lines between different places and are used in our daily life but anomalies in road surface not only impact road quality but also affect driver safety, mechanic structure of the vehicles, and fuel ... -
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
