Browsing by Subject "Transfer learning"
Now showing items 21-26 of 26
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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 ... -
A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
(Brac University, 2021-09)Rapid industrial growth has increased the vulnerability of systems to malfunction and permanent damage. Fault detection systems have been installed to prevent such occurrences. In order to eliminate potential life-threatening ... -
Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
(Brac University, 2020-04)Diseases in Tomato mostly on the leaves affect the reduction of both the standard and quantity of agricultural products. Several diseases such as bacterial spot, early blight, late blight, leaf mold, septoria leaf spot, ... -
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
(Brac University, 2021-09)Transfer learning (TL) has shown its great advantage to solve small-training-sample issues utilizing information learned from existing large data with deep learning tech- niques. Transfer learning has been e ectively ... -
X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)Diagnosis with X-Rays and other forms of medical images has soared to new heights as an alternative visual Covid infection detector. Radiographic images, primarily CT scans and X-Rays images play massive roles in assisting ...
