This paper describes an early memory yield prediction model using a memory sensitive area model. The proposed sensitive area prediction model calculates the sensitive area of a memory block for a given process technology and memory capacity. The model is capable of predicting the yield of a memory block in the early design phase without the detailed knowledge of the physical layout. The use of ...

Agriculture producers should be supported technologically in order to continue production a way that meets the worldwide food supply and demand. Automatic realization of crop yield estimation calculation is desired need farmers. also facilitates work agricultural with different goals such as imports exports. To achieve stated objectives, deep learning models have been developed estimated using ...

Low resolution satellite imagery has been extensively used for crop monitoring and yield forecasting for over 30 years and plays an important role in a growing number of operational systems. The combination of their high temporal frequency with their extended geographical coverage generally associated with low costs per area unit makes these images a convenient choice at both national and regio...

Dominance may be an important source of non-additive genetic variance for many traits of dairy cattle. However, nearly all prediction models for dairy cattle have included only additive effects because of the limited number of cows with both genotypes and phenotypes. The role of dominance in the Holstein and Jersey breeds was investigated for eight traits: milk, fat, and protein yields; product...