Browsing by Subject "Data augmentation"
Now showing items 1-7 of 7
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Bengali isolated speech recognition : a comparative analysis of the effects of data augmentation on HMM and DNN based acoustic models
(BRAC Univeristy, 2017)We have created an isolated-word dataset - Prodorshok 1, which consists of 34 Bengali words related to navigation with 1011 voice samples. The word set is intended to help design speaker dependent/independent, voice-command ... -
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 ... -
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ... -
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 ... -
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 ... -
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. ... -
Visual object recognition using deep convolutional neural network
(BRAC University, 2017)Visual object recognition has been lying at the convergence point between machine learning, computer vision and AI since the very beginning. From robotics to information retrieval, many desired applications demand the ...
