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Real-time crime detection using convolutional LSTM and YOLOv7
(Brac University, 2023-05)
The principal goal of this study is to create a crime detection system in real-time that
can effectively handle closed-circuit television (CCTV) video feeds and evaluate them
for possible criminal occurrences. The system’s ...
Detection of pneumonia from chest X-ray images using machine learning
(Brac University, 2023-05)
A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ...
Prediction of earthquakes: a step towards predicting the unpredictable
(Brac University, 2023-01)
One of the most catastrophic natural disasters is an earthquake, especially because
they typically occur without warning. It has catastrophic effects on both the econ-
omy of a nation and human life. Our paper is a step ...
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...
Enhancing crops production based on environmental status using machine learning techniques
(Brac University, 2020-04)
Bangladesh is an agricultural country. As the economy is based on agriculture highly,
there should be progress in this sector. To make progress in agriculture the productivity
must be increased. These days, productivity ...
Blood donation application with implementation of machine learning
(BRAC University, 2018-04)
Blood is one of the most important elements of human body. Blood can be defined as the fluid we have in our bodies that carries oxygen from the lungs to the rest of the body. It also carries waste to be eliminated from the ...
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
(Brac University, 2019-08)
Despite signi cant recent achievements in the eld of face recognition, implementing
proper face recognition system by training enough data is still a problem because not
everyone has enough photos that we can use to ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
Crop prediction based on geographical and climatic data using machine learning and deep learning
(BRAC University, 2018-12)
Agriculture is the basic source of food supply in all the countries of the world—whether underdeveloped,
developing or developed. Besides providing food, this sector has contributions
to almost every other sector of a ...
Reconstruction of images with RPCA and augmenting 3D model
(Brac University, 2022-01)
Crime scene photography is one of the most essential parts of documentation for all
physical crime scenes in the field of forensic science. It is an organized and structured
operation, having a goal of helping the ...