Abstract Magnetomyography (MMG) is the measurement of magnetic signals generated in the skeletal muscle of humans by electrical activities. However, current technologies developed to detect such a tiny magnetic field […]
Abstract Tesla’s full self-driving (FSD) computer is the world’s first purpose-built computer for the highly demanding workloads of autonomous driving. It is based on a new System on a Chip
Compute Solution for Tesla’s Full Self-Driving Computer Read More »
Abstract Deep learning and convolutional neural network technologies are increasingly used in the problems of analysis, segmentation, and recognition of objects in images. In this article, a convolutional neural network
Wildfire Segmentation on Satellite Images using Deep Learning Read More »
Abstract in this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose dif[1]culties in the automatic image
Abstract COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment
Abstract What begins as an undifferentiated space becomes a place as we get to know it better and endow it with value, space is freedom [1]. The context for this
Abstract Application of artificial intelligence and Zen space in modern landscape design and topology optimization is studied in this manuscript. With the rapid development of the big data technology, simple
Abstract Multiple Car detection, recognition, and tracking is one of the most rapidly growing systems in image processing used for a video surveillance systems. This has been designed with an
Multiple Car Detection, Recognition and Tracking in Traffic Read More »
Abstract Many organizations process big data for important business operations and decisions. Hence, data quality greatly affects their success. Data quality problems continue to be widespread, costing US businesses an
Data Sentinel: A Declarative Production-Scale Data Validation Platform Read More »
Abstract The problem of finding a point inRn, from which the sum-of-distances to a finite number of non-empty, closed, and convex sets is minimum is called the generalized Fermat-Torricelli Problem
