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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 ...
High frequency rainfall prediction using machine learning approach to numerical weather modelling
(Brac University, 2021-06)
The weather has an impact on almost every aspect of our daily lives. Life would be
much easier if we could control the weather. Until then, we will have to settle for
trying to predict weather but weather prediction is ...
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 ...
Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
(Brac University, 2023-05)
Mental well-being is intricately intertwined with physical health and is considered a crucial aspect of an individual’s overall well-being. Due to ever-deteriorating health conditions and uncertainty about the future, ...
Cosmic super string detection using dilated convolutional neural network with focal loss
(BRAC University, 2018)
Cosmic string are objects of great importance and investigation for cosmic
string has been done from last 20 years. There are a lot of models to detect
cosmic string.But a very few are to detect the location of cosmic ...
Using machine learning for lie detection: classification of human visual morphology
(BRAC University, 4/25/2018)
Though there exists different methods of detecting lies, machine learning can be used to create a reliable and more efficient system to detect lies. This thesis proposes a method of using nonverbal human behaviors to detect ...
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 ...
Sentiment analysis to determine employee job satisfaction using machine learning techniques
(Brac University, 2023-01)
Over the past three years, the COVID-19 epidemic had a significant impact on
the labor market. Employees have been laid off and the majority of them have
changed careers. If they can collect more datasets in the future, ...
Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
(Brac University, 2023-01)
The decentralized cryptocurrency has created many opportunities for secure and safe
financial transactions with a bright prospect. The cryptocurrency market rapidly
expands, leading to erratic price movements due to ...
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)
The Internet of Things is best stated as a network of “things” that have the ability to generate
and share information between themselves and interact with the environment according to the
percepts from this environment. ...