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Now showing items 31-40 of 76
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)
The world stood still during the massive breakout of the Covid-19 worldwide. This
massive outbreak of this contagious disease was occurred by being airborne. Not
only COVID but also there are many other contagious disease ...
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)
n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing
to privacy concerns. Therefore, data collection ...
Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
(Brac University, 2022-01)
Nowadays, the number of interconnected devices (IoT) is increasing dramatically.
This expansion poses new security problems for network operators, IoT service
providers, and users. Security measures implemented on IoT ...
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 ...
Performance analysis of machine learning algorithms for Malware classification
(Brac University, 2022-09-29)
Malware detection research has been popular over the years as the variations and
complexity of malware attacks are increasing daily. Using variously Supervised and
Unsupervised machine learning algorithms to detect, ...
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 ...
ML based career suggestive system for informal job sector considering cognitive skills
(Brac University, 2022-05)
We are striving to build a realistic procedure by which we, particularly the future
generation, will be able to choose the right career based on their capacity and interests.
A few well-known international firms, including ...
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)
The objective of this study was to develop a technique for calculating the ages of people’s
brains by analyzing EEG data signals and using machine learning algorithms
on a Raspberry Pi. We employed many machine learning ...
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 ...