Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Abstract: In recent years, Bluetooth Low Energy (BLE) positioning technology has garnered significant attention from researchers in the field of indoor localization. This study leverages IQ signal ...
Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
train_loader = DataLoader(train_data, batch_size=64, shuffle=True) val_loader = DataLoader(val_data, batch_size=1000) test_loader = DataLoader(test_data, batch_size=1000) ...
Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
Abstract: Reliable information about traffic attributes, including vehicle type, speed range, and direction, is essential for traffic management and intelligent transportation systems (ITS). Although ...
Abstract: The accurate as well as efficient prediction of the weathers is considered a big scientific and technological challenge due to the highly dynamic and complex nature of the atmosphere under ...
Abstract: This research focuses on a deep learning framework for the identification of epilepsy from MRI imaging, using the benefits of CNNs and RNNs. Since epilepsy causes seizures from brain ...
Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
Abstract: Wildfires pose a significant threat to ecosystems, human life, and property, causing extensive damage and loss worldwide. Effective and timely detection of wildfires is crucial for ...
Abstract: Face recognition is one of the core fields in computer vision; CNNs brought significant improvement to recognition accuracy. Despite the massive progresses, a most of the models are still ...