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Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)
Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high
levels of noise and clutter. These conditions can ...
Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
(Brac University, 2023-01)
Massive open online course (MOOC) has been around for a while, but started to
gain traction since 2012 when Coursera was established. MOOCs use pre-recorded
lectures and scheduled weekly tests to provide content and ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)
In every 100 years, there has been a pandemic all around the world. The globe faced
Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively.
Coronavirus, commonly known as Covid-19, is currently ...
Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
(Brac University, 2021-06)
Bangladesh, being an Agro-Economy based country, is lacking the technological improvements regarding Supply-Demand ratio of Food Supply to the citizens. Since the
recent price hike of onions in 2019, it is evident that ...
Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
(Brac University, 2022-03)
Since 1970, researchers have been attempting to recognize and comprehend spontaneous
speech. For an automatic voice recognition system, many techniques were
employed. People always choose English for voice recognition ...
Market sales prospecting by analyzing customer buying pattern using machine learning
(Brac University, 2019-08)
For improving business, the organization needs to analyze the buying pattern of their
customer to keep track of all products that are being sold the most so that they could
keep the stocks of those products and remove ...
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
(Brac University, 2023-05)
The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult
for investors to invest. This paper compares six different ...
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-06)
Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
Bitcoin price forecasting based on historical data
(BRAC University, 2018-07)
Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it ...