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Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)
Every single day a large number of patients go to the hospital. But the fact is,
facilities available in hospitals are not su cient in comparison with the number of
patients. The idea of this paper is to o er a prediction ...
Effective feature selection for real-time stock trading in variable time-frames and multi criteria decision theory based Efficient stock portfolio management
(Brac University, 2021-08)
The unpredictability and volatility of the stock market render it challenging to
make a substantial pro t using any generalized scheme. Many previous studies tried
di erent techniques to build a machine learning model, ...
Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals
(Brac University, 2021-08)
The major challenge in any electroencephalogram (EEG) classi cation task lies with
in the dilemma of feature extraction, as raw time series signal provide little correlated
information, yet it holds colossal varieties ...
Efficient Spatio-temporal feature extraction for human action recognition
(Brac University, 2021-11)
Human actuation recognition (HAR) has been performed using current deep learning
(DL) algorithms using a variety of input formats, including video footage, optical
flow, and even skeleton points, which may be acquired ...
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
(Brac University, 2021-08)
With the recent advancement in artificial intelligence, the demand for handwrit-
ten character recognition increases day by day due to its widespread applications
in diverse real-life situations. As Bangla is the world’s ...