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Now showing items 51-60 of 221
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)
This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in
order to better understand them and develop new and better ...
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)
As one of the fastest and most prominent deep learning technologies being fiddled
with today, sentiment analysis is capable of revealing an individual’s true emotions
by analyzing their facial speech, text, facial ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
Flood prediction using machine learning models
(Brac University, 2022-01)
Floods are one of nature’s most catastrophic calamities which cause irreversible and
immense damage to human life, agriculture, infrastructure and socio-economic system.
Floods are one of Bangladesh’s most common natural ...
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
(Brac University, 2022-09-28)
Process scheduling is an integral part of operating systems. The most widely used
scheduling algorithm in operating systems is round-robin (RR), but the average
waiting time in RR is often quite long. The purpose of this ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)
Cancer is known to be one of the most lethal diseases among all the diseases in
the world. It is clinically known as ’Malignant Neoplasm which is a vast group
of diseases that encompasses unmonitored cell expansion. It ...
Predicting Urban trends of growth with Google Earth Engine
(Brac University, 2022-09)
Land Usage is one of the most pressing concerns confronting the landscape of
Bangladesh due its heavily dense population and limited area. Rapid urbanization
has been seen in different parts of Bangladesh, so factors ...