5 天前 - This Special Issue presents a collection of 16 articles extracted from the conference
proceedings of the 2nd US Precision Livestock Farming Conference in Knoxville, TN, held …

5 天前 - … dissipation in distribution networks. The application of … Internet of Things (IOT)-driven
SGs using different advanced … the capabilities of advanced machine learning algorithms in …

5 天前 - … Deep learning (DL) techniques have surpassed conventional machine learning as
the dominant method for network … This study investigates the application of deep learning …

6 天前 - … Wireless sensor networks, cloud computing, Internet of things (IoT) have come
up with a solution mechanism for real-time monitoring of the body parameters of patients. …

6 天前 - … The Internet of Things is basically a network of devices that … IoT networks where
massive LoRa connectivity is mandate. We propose a methodology based on machine learning …

7 天前 - … networks, are critical components of the Internet of Things (… Furthermore, using
cutting-edge machine learning models… for intrusions within IoT networks have proven to be highly …

7 天前 - … Furthermore, the three machine learning algorithms of this … performance of the
machine learning algorithm is analysed … Internet of Things (IoT) sensors in a body area network to …

7 天前 - … Certain machine learning (ML) algorithms still struggle to handle … learning. The
research aims to develop security for IoT networks based on enhanced ensemble learning by …

7 天前 - … An unsupervised network threat detector is provided in … In the rapidly evolving
landscape of the Internet of Things (… traffic identification models that use Machine Learning (ML) …

7 天前 - … of the current state of machine learning techniques applied to IDS in the … We
highlighted the most efficient machine learning … Chemlal, “Machine Learning for IoT based …