Browsing by Subject "DenseNet"
Now showing items 1-7 of 7
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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 ... -
Comparative analysis of machine learning techniques in optimal site selection
(Brac University, 2023-01)Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ... -
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ... -
Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
(Brac University, 2023-09)Virus which causes monkeypox is capable of infecting both humans and nonhuman primates. In order to effectively treat monkeypox and prevent the disease’s further spread, it is necessary to diagnose the skin lesions caused ... -
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
(Brac University, 2024-01)Just as the digital transformation of everything in this ‘Information Age’ has acted substantially to mitigate conventional crimes to a degree, the rate of cyber crime has parallelly elevated alarmingly. As malware has ... -
Thoracic complication detection on chest X-rays using deep learning
(2021-06)Respiratory or thoracic diseases are one of the leading causes of death worldwide. Many of these diseases can be treated and prevented with proper diagnosis and early care. The diagnosis of thoracic diseases is mainly ... -
Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
(Brac University, 2022-01)Due to a number of reasons, marine ecosystems change with certain species of fish disappearing while novel species of fishes become a new staple within a given ecosystem, e.g., a lake, river, etc. Monitoring these changes ...
