In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym.Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming inter-subject variability and reducing BCI inefficiency, which has been estimated to affect 10-50�
It is well known that images taken in low-light conditions frequently suffer from unknown noise and low visibility, which can pose challenges for image enhancement.The majority of Retinex-based decomposition algorithms usually attempt to directly design prior regularization for illumination or reflectance.Nevertheless, noise can Camera Bags be invo
Introduction: Ethnomedicine is the study of medicinal plants and their traditional uses in treating a variety of illnesses.Research on ethnomedicine and ethnobotany has great potential to grow and produce new medications.Because medicinal plants include a variety of biologically active compounds, documenting ethnomedicinal information is crucial to
Forest people land use pratices with economic and ecological orientation have been developed in the vicinity of forest areas.Nevertheless, policy makers view this development as detrimental to the forest it self.Forestry programs directed to accommodate public participation are uniformly designed and implemented, ignoring the physical and social va