Browsing by Subject "Neural networks (Computer science)"
Now showing items 21-40 of 152
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Cancer classification using deep learning from medical image data
(Brac University, 2022-01)Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ... -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ... -
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)In agriculture, soil is one of the most potential output sources. That is why, if we can foresee the soil’s nature and how it will turn in the future as well as it’s other qualities, we may achieve adequate monitoring ... -
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)Ultrasound (US) examination is a widely used important instrument to monitor mother and fetus health in a cost-effective and non-invasive way. The acquisition of Ultrasound (US) images to determine vital fetal organs for ... -
Classification of different magnetic structures from image data using deep neural networks
(Brac University, 2021-09)We apply machine learning, specially deep neural network approaches, to train a new model that can perform an effective classification of ferromagnetic, anti ferromagnetic, skyrmion, anti-skyrmion and spin spiral ... -
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ... -
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ... -
Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
(Brac University, 2022-05)Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ... -
Comparative analysis of neural network Models for peripheral blood cell image classification
(Brac University, 2023-09)It’s quite difficult to fathom that the future of medicine and diagnosis is more dependent on, and much more likely to be dictated by the growth of technology than the quality of doctors. One of the deadliest diseases ... -
A comparative analysis of the different CNN-LSTM model caption generation of medical images
(Brac University, 2023-05)The intent of this paper is to make the process of interpreting and understanding information within ultrasound pictures simpler and quicker by addressing the lack of techniques for automatically deciphering medical ... -
Comparative data analysis of a PV module system considering weather parameters
(Brac University, 2021-06)Fastest growing economy of Bangladesh increase the great demand of power generation using renewable energy sources. However, uncertainty in the output power of the photovoltaic (PV) power generation station due to variation ... -
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)Cancer is known to be one of the most lethal diseases among all the diseases in the world. It is clinically known as ’Malignant Neoplasm which is a vast group of diseases that encompasses unmonitored cell expansion. It ... -
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)The next level of revolution toward a better world could involve combining human security with machine intelligence. In recent years, stalking in public areas has become a pervasive issue, and women are disproportionately ... -
Computer vision-based Bengali sign language to text generation
(Brac University, 2022-01)In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ... -
Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
(Brac University, 2023-09)Despite artificial neural networks being inspired by the functionalities of biological neural networks, unlike biological neural networks, conventional artificial neural networks are often structured hierarchically, which ... -
A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
(Brac University, 2023-04)Nowadays, social networking sites like Facebook and Twitter have become an sig- nificant impact on our lives . We use such sites to remain in touch with one another and as a source of news to stay informed about current ... -
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 ... -
Cosmic super string detection using dilated convolutional neural network with focal loss
(BRAC University, 2018)Cosmic string are objects of great importance and investigation for cosmic string has been done from last 20 years. There are a lot of models to detect cosmic string.But a very few are to detect the location of cosmic ...