wireless sensor networks (wsns) arebecoming increasingly popular, and very useful in militaryapplications and environmental monitoring. however,security is a major challenge for wsns because they areusually setup in unprotected environments. our goal in thisstudy is to simulate an intrusion detection system (ids)that monitors the wsn and report intrusions accurately andeffectively. we have thus...

Abstract In this research, an intelligent system for detecting cassava leaf disease has been developed by utilizing the MobileNetV2 deep learning model and displaying it using a python graphical user interface (GUI). There are five classes used in study, namely Cassava Bacterial Blight (CBB), Brown Steak Disease (CBSD), Green Mite (CGM), Mosaic (CMD) Healthy. The results showed that overall acc...