This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...
Citi ThankYou points are versatile and can be redeemed multiple ways — but not all options offer the same value per point. Many or all of the products on this page are from partners who compensate us ...
Matt Lee is the founding partner of Atlas Growth Capital. He has 3+ years of experience as a consultant and startup advisor. If you need to get a loan, be sure you understand the difference between a ...
Abstract: Conventional real-valued 1-D chaotic models are constrained by three fundamental limitations: Restricted chaotic regimes, susceptibility to dynamic degradation in finite-precision ...
From a geometric point of view they can be regarded as the Euclidean distance between two points, repre-senting two populations, in an n-variable transformed space. The n trans- formed variables are ...
Building a sustainably profitable biotech company from scratch and advancing innovative medicines to patients is no easy task. The lessons from our industry's pioneers teach us that this effort ...
Abstract: Learning-based point cloud compression technology based on voxel structure has made significant progress in recent years. However, these methods have to train multiple models for different ...
Abstract: The wind tunnel test balance of hypersonic vehicles is a crucial force measurement component for facilitating the aerodynamic optimization design of the aircraft. In response to the ...
terraform-cluster-deployment-tf - Learn how to deploy a cluster to a cloud provider with Palette. Link vmware-cluster-deployment-tf - Learn how to deploy a VMware cluster and the Hello Universe ...
Abstract: The spacecraft image matching serves as the foundation for various space vision applications, such as vision-based relative pose estimation of target spacecraft. Currently, feature-based ...
Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...