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Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
(Brac University, 2023-05)
The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ...
Hand gesture recognition using ensemble method
(Brac University, 2023-05)
Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ...
Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
(Brac University, 2023-01)
The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it
can be difficult to comprehend the factors that affect their ...
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 ...
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 ...
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
(Brac University, 2023-01)
When a person plans to buy or sell a car in an overly-crowded second-hand market, it is often difficult to estimate accurate prices. People are frequently duped by scalpers into purchasing cars that are not worth the base ...
Smart worker solution
(Brac University, 2023-09)
I made the website for the people who work daily basis to live, and could not
raise their voice for proper right because, we call them labor, in our county they
are the lowest living status people. I’ve seen all the time ...
License plate recognition
(Brac University, 2023-05)
In today’s ever-growing technological society, Automatic License plate Recognition,
ALPR, has many implications for solving traffic-related applications and transporta-
tion planning. Identifying cars in pursuit or stolen ...