… leading edge high-k-metal-gate (HKMG) CMOS process flows. HfO2-based ferroelectricity
and related materials (such as HZO, ie, Zr-doped HfO2 also shown as Hf1-xZrxO2 where x<1, …

… edge artificial intelligence (AI) amalgamating edge computing and AI2-6, has been proposed
to enable 36 edge … However, the devices train in sequence rather than in parallel, leading …

… the optimization problem in scheduling tasks in the edge and the cloud. Meanwhile, a novel
… typical intelligent edge devices and the cloud service in an intelligent edge computing …

… laser scans and previous leading edge erosion analysis. … geometry of eroded leading
edges rather than accounting for … , erosion yields leading edge geometry alterations causing …

… machine learning algorithms varies widely, leading to an imbalance and shortage of computing
and networking resources in edge … , in this paper an edge cloud sharing mechanism, …

… the pixel intensity leading to formulate boundaries of an object. Discontinuities in the image
may arise due to Step Edges (image intensity shifts from one value to other) or Line Edges (…

… Due to a large amount of noise and blurred lesion edges in osteosarcoma MRI images, high…
an artificial intelligence-aided diagnosis scheme by enhancing image edge features. First, a …

… scope of industrial environments, Edge Computing (EC), and Artificial Intelligence (AI)— the
… Specifically, EC proposes distributing the computation process on the edge devices that are …

… These devices having built-in intelligence … edge intelligence for web data filteration and
detects the web spam by considering three different layers, ie, data collection services, edge …

… We must first understand the various types of wear before applying artificial intelligence
principles to evaluate wear behavior. Wear can occur due to a single mechanism or a complex …