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Predicting peak performance of a cricket player using machine learning and data analytics
(Brac University, 2022-08-25)
In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ...
A domain and noise adversarial bird tune classification pipeline using deep neural network
(Brac University, 2022-09-29)
Birds are an important category of animals that ecologists keep track of utilizing
autonomous recording units as a key indication of environmental health. Because
of the consequences of climate change and the rising ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
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, ...
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)
Ultrasound (US) examination is a widely used important instrument to monitor
mother and fetus health in a cost-effective and non-invasive way. The acquisition
of Ultrasound (US) images to determine vital fetal organs for ...
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)
The field of medical imaging is rapidly growing with the help of machine learning, yet
the problem of scarcity in labeled medical imaging still remains. Therefore training a
machine learning model for medical image ...