Browsing by Subject "Neural networks (Computer science)"
Now showing items 21-40 of 108
-
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 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 ... -
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, ... -
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 ... -
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ... -
Deep 3D convolutional neural network in early detection of Lung cancer
(BRAC University, 7/22/2018)Early detection of lung cancer is essential for the survival of patients. Lung Cancer remains the deadliest cancer in the world. Lung cancer diagnosis is still a time consuming and long awaiting process. The oncologist is ... -
A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
(Brac University, 2021-10)Depression and mental health issues (stress, nervousness, panic attacks, anxiety attacks etc.) are nowadays a major issue in the whole world. It is a common cause of mental illness that has been linked to an increased ... -
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ... -
Deepfake detection using neural networks
(Brac University, 2021-09)Deepfake is a sort of arti cial intelligence that forge original image or video and create persuading images, audio and video hoaxes by utilizing two contending AI algorithms-the generator and discriminator that form a ... -
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)Demand forecasting is mainly a process whereby analyzing historical sales data, strategic and operational strategies are devised in order to estimate customer demand. One of the most fundamental aspects of supply chain ... -
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
(Brac University, 2021-09)Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose ...
