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Dynamic image analysis for abnormal behavior detection
(BRAC University, 4/18/2017)
Our world is now in such developing state where security is more of a concern rather than privacy for an individual. Nowadays, abnormal behavior detection system plays a very important role in various sectors such as, ...
Image recognition by deep learning
(BRAC University, 8/21/2017)
Object recognition has become a crucial topic in the field of computer vision. Poor qualities of images unable bring out the desired object as per expectancy. Many models have proposed to recognize object from image. ...
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)
Throughout the world the number of deaf and mute population is rising ever so
increasingly. In particular Bangladesh has around 2.6 million individuals who aren't
able to communicate with society using spoken language. ...
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
(Brac University, 2015-08)
Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China
in December 2019, has been declared a global pandemic by WHO in March 2020.
Since its inception, it’s rapid spread among nations had initially ...
Assisting the visually impaired people using image processing
(BRAC University, 2018-07)
Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ...
Visual object recognition using deep convolutional neural network
(BRAC University, 2017)
Visual object recognition has been lying at the convergence point between machine
learning, computer vision and AI since the very beginning. From robotics to
information retrieval, many desired applications demand the ...
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)
Machine Learning has been on top of its form over the last few years. It covers a vast
area of predictive web browsing, email and text classification, object detection, face
recognition etc. Among all of the other ...
Smart surveillance system for identifying bikers without helmets using deep learning
(Brac University, 2019-08)
Modern world is progressing quickly along with technology and one of the major
sectors is transportation technology. Day by day the number of people are increasing
and the number of vehicles are increasing too. As a ...
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
(Brac University, 2019-04)
Among di erent imaging techniques MRI, MRSI and CT scans are some of the
widely use techniques to visualize brain structures to point out brain anomalies especially
brain tumor. Identi cation of brain tumor accurately ...
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)
This study shows importance hierarchy of financial factors of corporations’ Goodwill
and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ...