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Now showing items 11-20 of 27
Pest detection system using machine learning techniques
(Brac University, 2022-01)
Countries like Bangladesh yield a significant portion of their economy from their
agricultural sector. Agricultural pests, on the other hand, have a significant impact
on both agricultural production and crop storage. ...
Analysis of deep learning models on low-light pest detection
(Brac University, 2022-09-28)
It is undeniable that in recent years, exceptional progress has been made toward
building the most accurate and efficient object detectors. However, existing low-
light object detectors still require a substantial amount ...
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)
Anomalous and violent action detection has become an increasingly relevant topic
and active research domain of computer vision and video processing, within the past
few years. It has many proposed solutions by the ...
Visual object classification from fMRI data
(Brac University, 2022-01)
Computing devices were once limited in just calculating arithmetic. Whereas, in
modern computing, complex task like object classi cation or recognition has become
so popular that even our smart devices cannot be thought ...
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, ...
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 ...
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. ...