Around the world, brain tumors are becoming leading cause of mortality. The inability to undertake a timely tumor diagnosis is primary this pandemic. Brain cancer crucial procedure that relies on expertise and experience doctor. Radiologists must use an automated classification model find cancers. current model’s accuracy has be improved get suitable therapies. can consult various computer-aide...

Abstract: This paper deals with the control of the melt index and density of polymers produced. Nonlinear Model predictive control (NLMPC) is used for this purpose. A nonlinear reactor model combined with correlations for predicting polymer melt index and density are used to simulate the process. The simulations revealed the effectiveness of NLMPC to drive the polymer properties to follow a ser...

BACKGROUND Prostate-specific antigen densities have limited success in diagnosing prostate cancer. We emphasise the importance of the peripheral zone when considered with its cellular constituents, the "prostatocrit". OBJECTIVE Using zonal volumes and asymmetry of glandular acini, we generate a peripheral zone acinar volume and density. With the ratio to the whole gland, we can better predict...