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Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)
This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in
order to better understand them and develop new and better ...
Understanding the sustainability of online software development groups in Bangladesh
(Brac University, 2020-04)
The field of software development currently is one of the most rapidly expanding
sectors in terms of research as well as establishing a career. An immense amount of
youths are entering it as new opportunities are being ...
Reinforcement learning based electricity price forecasting in Blockchain based smart grid environment
(Brac University, 2021)
Electricity is deeply integrated into both our modern society and the economy. However, with our ever-growing society and increasing demand for electricity, the scarcity
of resources is deeply felt through load shedding ...
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)
As one of the fastest and most prominent deep learning technologies being fiddled
with today, sentiment analysis is capable of revealing an individual’s true emotions
by analyzing their facial speech, text, facial ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Flood prediction using machine learning models
(Brac University, 2022-01)
Floods are one of nature’s most catastrophic calamities which cause irreversible and
immense damage to human life, agriculture, infrastructure and socio-economic system.
Floods are one of Bangladesh’s most common natural ...
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)
Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ...
Dynamic spam detection system and most relevant features identification using random weight network
(Brac University, 2021-01)
Nowadays e-mail is being used by millions of people as an effective form of formal or informal communication over the Internet and with this high-speed form of communication there comes a more effective form of threat known ...
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 ...