Our research focuses on addressing the challenge of crop diseases and pest infestations in agriculture by utilizing UAV technology for improved crop monitoring through unmanned aerial vehicles (UAVs) and enhancing the detection and classification of agricultural pests.Traditional approaches often require arduous manual feature extraction or computa

Due to rapid development of Internet technology and electronic Leveler business, fraudulent activities have increased.One of the ways to cope with damages of them is fraud detection.In this field, there is a need for methods accurate and fast.Therefore, a novel and efficient feature extraction method based on social network analysis called FEMBSNA

The world today is undergoing a wide range of successive variables, including all economic, social and technological trends, which effectively affected all areas of industry in general in light of the technological and industrial revolution that plays an important role in several fields, which is based on providing the different needs of each indus