Coffee leaf diseases can significantly impact the productivity and quality of the crops.Accurate and timely identification of these diseases is crucial for effective management and control.This paper proposes a hybrid feature fusion approach for identifying coffee leaf disease, including early and late feature fusion.First, we propose several hybri
Multiple-point geostatistical simulation (MPS) has recently become popular in stochastic hydrogeology, primarily because of Twin Mattress and Pillow 2/CN its capability to derive multivariate distributions from a training image (TI).However, its application in three-dimensional (3-D) simulations has been constrained by the difficulty of constructin
Understanding the emergence of quantum chaos in multipartite systems is challenging in Hat the presence of interactions.We show that the contribution of the subsystems to the global behavior can be revealed by probing the full counting statistics of the local, total, and interaction energies.As in the spectral form factor, signatures of quantum cha
At GSK, we have implemented custom integrated robotics platforms housed in bespoke biosafety enclosures to augment our capabilities in advanced cellular screening.Here Hat we present and discuss the impact of one such system, the Cellular Automated Screening Platform (CASPer).We evaluate the benefits of implementing specific processes on CASPer tha
As the financial condition of most individuals has taken the toll during the COVID-19 pandemic, this study aims to analyze varied risk perceptions owing to dynamic behavioral aspects ingrained in individuals.The study primarily incorporates the impact of COVID-19 induced risk perceptions on psychological bias and its aftermath on perceived investme