Zobrazeno 1 - 10
of 629
pro vyhledávání: '"DEAN, THOMAS A."'
AUTOSAR (AUTomotive Open System ARchitecture) is an open industry standard for the automotive sector. It defines the three-layered automotive software architecture. One of these layers is the application layer, where functional behaviors are encapsul
Externí odkaz:
http://arxiv.org/abs/2308.14974
Autor:
Geraedts, Scott, Brand, Erica, Dean, Thomas R., Eastham, Sebastian, Elkin, Carl, Engberg, Zebediah, Hager, Ulrike, Langmore, Ian, McCloskey, Kevin, Ng, Joe Yue-Hei, Platt, John C., Sankar, Tharun, Sarna, Aaron, Shapiro, Marc, Goyal, Nita
Persistent contrails make up a large fraction of aviation's contribution to global warming. We describe a scalable, automated detection and matching (ADM) system to determine from satellite data whether a flight has made a persistent contrail. The AD
Externí odkaz:
http://arxiv.org/abs/2308.02707
Model-based mutation analysis is a recent research area, and real-time system testing can benefit from using model mutants. Model-based mutation testing (MBMT) is a particular branch of model-based testing. It generates faulty versions of a model usi
Externí odkaz:
http://arxiv.org/abs/2301.00835
Diverse subfields of neuroscience have enriched artificial intelligence for many decades. With recent advances in machine learning and artificial neural networks, many neuroscientists are partnering with AI researchers and machine learning experts to
Externí odkaz:
http://arxiv.org/abs/1912.00421
We present two modulation and detection techniques that are designed to allow for efficient equalization for channels that exhibit an arbitrary Doppler spread but no delay spread. These techniques are based on principles similar to techniques designe
Externí odkaz:
http://arxiv.org/abs/1905.00349
Publikováno v:
In Forest Ecology and Management 15 January 2023 528
Autor:
Woo, Henry H., Khanani, Hadia, Thompson, Nadine J., Sorensen, Brian J., Baskaranathan, Sris, Bergersen, Philip, Chalasani, Venu, Dean, Thomas, Dias, Max, Symons, James, Wines, Michael, Jain, Anika, Nassour, Anthony-Joe, Tarlinton, Lisa C.
Publikováno v:
In European Urology Open Science January 2023 47:119-125
We present an algorithm that efficiently performs blind decoding of MIMO signals. That is, given no channel state information (CSI) at either the transmitter or receiver, our algorithm takes a block of samples and returns an estimate of the underlyin
Externí odkaz:
http://arxiv.org/abs/1810.07856
Autor:
Dean, Thomas, Chiang, Maurice, Gomez, Marcus, Gruver, Nate, Hindy, Yousef, Lam, Michelle, Lu, Peter, Sanchez, Sophia, Saxena, Rohun, Smith, Michael, Wang, Lucy, Wong, Catherine
This document provides an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. The course draws upon insight from cognitive and systems neuroscience to implement hybrid connectionist and symbolic reasoning sy
Externí odkaz:
http://arxiv.org/abs/1807.00082
We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the transmitted signal for the decoding to be effective, in particular that the
Externí odkaz:
http://arxiv.org/abs/1802.01049