Browsing by Subject "Transfer learning"
Now showing items 1-20 of 24
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Classifying insect pests from image data using deep learning
(Brac University, 2022-01)The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ... -
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
(Brac University, 2023-01)Detailed Fingerprint investigation has been a dominant law enforcement tool which is utilized to distinguish suspects, settle crimes and violations for over 100 years. Moreover, gender classification from fingerprints ... -
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early disease identification reduces crop loss. Manual leaf diagnostic imaging takes time and is prone to mistakes. This thesis proposes a ... -
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ... -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ... -
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography (CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to diagnose a variety of disorders, including brain disease, whole-body ... -
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ... -
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
(Brac University, 2023-05)An essential component of medical diagnosis is the precise detection and localization of anomalies in X-rays of the chest images. It is urgently necessary to develop the most precise automated model to identify thorax ... -
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 prediction of Alzheimer's disease using convolutional neural network
(Brac University, 2019-08)Neuroimaging can be a prospective instrument for the diagnosis of Mild Cognitive Impairment (MCI) along with its more severe stage, Alzheimer's disease (AD). High- dimensional classi cation methods have been commonly ... -
Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
(Brac University, 2023-05)The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ... -
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 ... -
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 ... -
Hand gesture recognition using ensemble method
(Brac University, 2023-05)Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ... -
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ... -
Medical image reader powered by artificial intelligence
(Brac University, 2023-09)Misdiagnosis in medical imaging is a critical concern, risking patients’ health due to the pivotal role of radiologists’ accuracy in diagnostics. Current cross-checking methods for radiologists’ decisions are limited, ... -
Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
(Brac University, 2022-01)Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ... -
Pest detection system using machine learning techniques
(Brac University, 2022-01)Countries like Bangladesh yield a significant portion of their economy from their agricultural sector. Agricultural pests, on the other hand, have a significant impact on both agricultural production and crop storage. ... -
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)Prostate cancer is a ubiquitous form of cancer detected among men all over the world. It is currently the second leading cause of cancer death worldwide among men. Research shows that about 11% of men worldwide are ... -
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)This work tries to detect skin cancer and classify its type using datasets containing labeled images and classes, using pre-trained CNN models and merged pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
