IMPROVED CROW SEARCH-BASED FEATURE SELECTION AND ENSEMBLE LEARNING FOR IOT INTRUSION DETECTION

Network intrusion detection in the Internet of Things (IoT) framework has posed considerable challenges in recent decades.A wide variety of machine-learning approaches are introduced in network intrusion detection.The existing methodologies commonly lack consistency in achieving optimal performance across various multi-class categorization tasks.Th

The restoration of fire-affected forest areas needs to be combined with their future protection from renewed catastrophic fires, such as those that occurred in Greece during the 2007 summer season.The present work demonstrates that the use of various sources of satellite data in conjunction with weather forecast information is capable of providing