Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
… AI) system for rapid COVID-19 detection and performed extensive statistical analysis of CTs
of COVID-19 based on the AI … than 10 thousand CT volumes from COVID-19, influenza-A/B, …
of COVID-19 based on the AI … than 10 thousand CT volumes from COVID-19, influenza-A/B, …
Edge AI: On-demand accelerating deep neural network inference via edge computing
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep Neural
Networks (DNNs) have quickly attracted widespread attention. However, it is challenging …
Networks (DNNs) have quickly attracted widespread attention. However, it is challenging …
Channel measurement, simulation, and analysis for high-speed railway communications in 5G millimeter-wave band
… Propagation scene partitioning for HSR scenarios was first proposed in [33], in which the
HSR environments are divided into 19 scenarios based on the review of four different HSR …
HSR environments are divided into 19 scenarios based on the review of four different HSR …
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
SA Harmon, TH Sanford, S Xu, EB Turkbey… - … communications, 2020 - nature.com
… AI for the detection of COVID-19 infection, or even differentiation from community acquired
pneumonia 17,18 . AI … and evaluate an AI algorithm for the detection of COVID-19 on chest CT …
pneumonia 17,18 . AI … and evaluate an AI algorithm for the detection of COVID-19 on chest CT …
Verifying properties of parallel programs: An axiomatic approach
An axiomatic method for proving a number of properties of parallel programs is presented.
Hoare has given a set of axioms for partial correctness, but they are not strong enough in most …
Hoare has given a set of axioms for partial correctness, but they are not strong enough in most …
On self-organizing sequential search heuristics
R Rivest - Communications of the ACM, 1976 - dl.acm.org
This paper examines a class of heuristics for maintaining a sequential list in approximately
optimal order with respect to the average time required to search for a specified element, …
optimal order with respect to the average time required to search for a specified element, …
Pervasive computing in the context of COVID-19 prediction with AI-based algorithms
… and AI technique, the COVID-19 … 19 cases for stipulated time duration in three categories
such as suspected to have COVID-19, infected by COVID-19 and recovered from the COVID-19 …
such as suspected to have COVID-19, infected by COVID-19 and recovered from the COVID-19 …
Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article, …
machine learning (ML) to the study of wireless propagation channels. In Part I of this article, …
A program data flow analysis procedure
FE Allen, J Cocke - Communications of the ACM, 1976 - dl.acm.org
The global data relationships in a program can be exposed and codified by the static analysis
methods described in this paper. A procedure is given which determines all the definitions …
methods described in this paper. A procedure is given which determines all the definitions …
The roadmap to 6G: AI empowered wireless networks
… to support ubiquitous AI services from the core to the end devices of the network. Meanwhile,
AI will … for 6G to enable mobile AI applications, as well as AI-enabled methodologies for 6G …
AI will … for 6G to enable mobile AI applications, as well as AI-enabled methodologies for 6G …