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Explainable artificial intelligence and model calibration for water quality prediction
(BRAC University, 2022-08)
Water is a key necessity for survival and sustenance of all living creatures. In the
past years, the quality of water has been adversely affected by pollutants and other
harmful wastes. This increased water pollution ...
Rating detection by reviews using ML and NLP towards mobile phone recommendation
(Brac University, 2023-01)
Product recommendation is a type of marketing tool that has become increasingly
important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ...
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 ...
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 ...
Bangla sign language recognition using leap motion sensor
(Brac University, 2019-08)
Sign language is used by hearing and speech impaired people to transmit their
messages to other people but it is difficult for a regular people to understand this
gesture based language. Instantaneous responses on sign ...
Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)
There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
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 ...