Often when describing patterns, they are placed in one of two categories: organic or geometric. Organic designs are ones ...

Abstract: Extracting the geometric features of satellites from inverse synthetic aperture radar images is a meaningful and challenging task. Previous methods have focused on estimating 3-D geometric ...

Abstract: This paper presents a computationally efficient technique for decomposing non-orthogonally superposed k geometric sequences. The method, which is named as geometric sequence decomposition ...

Automated email sequences are sent to users after they take specific actions, such as signing up for an email newsletter or completing a purchase. These perfectly timed and crafted emails may seem ...

Timothy Li is a consultant, accountant, and finance manager with an MBA from USC and over 15 years of corporate finance experience. Timothy has helped provide CEOs and CFOs with deep-dive analytics, ...

With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...

ABSTRACT: This article presents a methodology to calculate the risk of aircraft running off the runway or failing to clear the obstacle of 10.7 meters requirements during the take-off operation by ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from UCLA and Meta AI have ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Sequence of return risk poses a significant threat to retirees’ financial security, especially in an era of increasing market volatility and uncertainty. However, by understanding the nature of this ...