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Analyzing optimization landscape of recent policy optimization methods in deep RL
(Brac University, 2022-05)
In this work we will analyze control variates and baselines in policy optimization
methods in deep reinforcement learning (RL). Recently there has been a lot of
progress in policy gradient methods in deep RL, where ...
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)
Fundus images are commonly used by medical experts like ophthalmologists, which
are very helpful in detecting various retinal disorders. They used this to diagnose
the different types of eye diseases like Cataracts, ...
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)
Machine learning (ML) helps computers learn and program data without humans’
help. According to data scientists, machine learning can extract 60% high-quality
information, reduce the cost up to 46%, and increase operation ...
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)
In agriculture, soil is one of the most potential output sources. That is why, if
we can foresee the soil’s nature and how it will turn in the future as well as it’s
other qualities, we may achieve adequate monitoring ...
Sentiment analysis on Bangladesh airlines review data using machine learning
(Brac University, 2022-02)
A common means of transportation in our everyday lives is air travel. As a result, it's
no surprise that more and more customers are posting their airline reviews online.
However, in the age of machine learning, it would ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Sentiment analysis on E-commerce based product reviews using machine learning algorithms
(Brac University, 2022-05)
Opinions from others can be important when a choice is necessary, mainly when
valuable resources such as time and wealth are involved. People often depend on
their peers’ past experiences. The analysis of sentiments or ...
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)
Ultrasound (US) examination is a widely used important instrument to monitor
mother and fetus health in a cost-effective and non-invasive way. The acquisition
of Ultrasound (US) images to determine vital fetal organs for ...
Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
(Brac University, 2022-02)
The current approach to maternal and child healthcare is extremely patient-centred,
it requires costly, risky surveillance and testing before diagnosis besides treatment
accompanied with uncertainty despite the essential ...
Use of machine learning and IoT for monitoring and tracking of livestock
(Brac University, 2022-09-29)
Given the present era’s expanding population and rising necessity of dairy products,
livestock supervision is one of the issues that is becoming progressively more of a
priority. Moreover, periodic cattle health monitoring ...