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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 ...
Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
(Brac University, 2022-09)
Chronic kidney disease, often called chronic kidney failure, is a steady decline of
renal function. Some of the most common reasons for kidney failure are cyst,
stone and tumor. There may be no symptoms of chronic renal ...
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, ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
Plant leaf disease identification
(Brac University, 2023-01)
Agriculture has consistently been an essential component of our day-to-day life over
the centuries. Because of its contribution to our country’s revenue, the importance
of agriculture has been steadily growing over the ...
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
Social media trend analysis to predict the success of products using deep learning technique
(Brac University, 2022-09-29)
In recent times, social media usage has reached such heights that it has become
a powerhouse in producing trends, bringing such topics that would have remained
outside of popular consciousness. Our goal is to analyze how ...
Yoga posture recognition using the deep learning process
(Brac University, 2022-05)
Yoga is one of the best activities from home to preserve our physical condition in
the present epidemic. Yoga, on the other hand, is all about performing the 82
Yoga Asanas correctly over the course of six classes. ...
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)
One of the world’s most pressing issues right now is the lack of a competent waste
management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...