Browsing by Subject "Neural networks (Computer science)"
Now showing items 1-20 of 72
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Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep Convolutional Neural Networks, Recurrent Neural Networks and Attention-Based Mechanisms
(Brac University, 2022-05)Throughout time, there has been a surge of hostile activities in public places across the globe. With the advancement in technology, it has been possible to monitor public places through real time surveillance. Video ... -
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)Anomalous and violent action detection has become an increasingly relevant topic and active research domain of computer vision and video processing, within the past few years. It has many proposed solutions by the ... -
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)Identifying brain tumors precisely within the early stage is still a challenging problem for the medical sector consistent with recent research. In a previous research approved by Cancer. Net Editorial Board, it was ... -
AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
(Brac University, 2022-01)Audiovisual data is the most extensively used and abundantly distributed type of data on the internet in today’s information and communication age. However, the necessary audiovisual data is challenging to retrieve because ... -
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)Handwritten letter classification of any given language has the potential to be used in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ... -
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)The art of luring us to click on certain content by exploiting our curiosity is recognized as clickbait. Clickbait might be aggravating at times because it is misleading. Several studies have worked on the detection of ... -
Biometric retina identification using artificial approach
(Brac University, 2022-05)In this paper, we considered recognizing 2D retina pictures with a Convolutional Neural Network (CNN) for greater accuracy since retina-based identification is the most secure way of establishing identity and identifying ... -
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ... -
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 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 ... -
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, ... -
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 ...
