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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)
Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava
is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause
a variety of illnesses on cassava leaves. This ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)
Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately,
there is no reliable metric or resource available online to determine which hospital
is better. Patients and their peers often find it ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)
Distracted driving is known to be one of the most significant reasons behind the
occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of
road accidents due to distracted driving has been increasing ...