Here we proposed a grape disease identification model based on improved YOLOXS (GFCD-YOLOXS) to achieve real-time detection of grape diseases in field conditions.We build a dataset of 11,056 grape disease images in 15 chiefs wine glass categories, based on 2566 original grape disease images provided by the State Key Laboratory of Plant Pest Biology
Predictive control offers many advantages such as simple design and a systematic way to handle constraints.Model predictive control (MPC) belongs to predictive control, which uses a model of the system for predictions used in predictive control.A major drawback of MPC is the dependence of its performance on the model of the system.Any discrepancy r
Diverse aetiologies of viral and bacterial encephalitis are widely recognized as significant yet neglected public health issues in the Mekong region.A robust analysis of the corresponding health burden is lacking.We retrieved 75 articles on encephalitis in the region published in English or in French from 1965 through 2011.Review of available data
Causality inference has arrested much attention in academic studies.Currently, multiple methods such as Granger causality, Convergent Cross Mapping (CCM), and Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) are introduced to solve the problem.Motivated by the researchers who uploaded the open-source code for causality inference,