often prohibits the deployment of ML models on resource-constrained embedded devices where memory and

performance for our application models by satisfying the quality of service level agreements (QOSLA). By using

integrated in other general models developed for cellular networks. The key contributions can be summarized

properly resolved in macroscopic (Darcy-scale) models. While microscopic descriptors might be closer to

-squares or maximum likelihood criterion, which leads to optimization models that trade off smoothness for

entorhinal cortex (EC) in animal models of epileptiform synchronization show that low-voltage fast (LVF

instances of implementations against their original models. Such verification is desired to be performed

prohibitive in CPU time to run repeatedly for many different configurations. These types of models rarely take

characterization of model uncertainty involved in the system models is also an essential step. The system models

exploratory simulation of large and complex FCM models, and for data visualization. They can be utilized to

its experience rather than adopting accurate and mathematically solvable system models, just as a

-performing computer-vision models fall short of robust perception, and evaluated whether alignment models can address