NMFTA redesigned its website for improved navigation and performance. The site connected related content across the pillars ...

Researchers at EPFL have developed a deep-learning framework that dramatically improves vehicle re-identification in ...

Iran may not be able to reopen the Strait of Hormuz as it cannot locate the mines it laid along the waterway, a New York ...

ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...

Abstract: Machine learning-based methods for encrypted traffic classification can be effectively applied to analyze encrypted proxy traffic generated by proxy protocols, which are intermediary ...

The TSSAA Board of Control has eliminated the success formula for Division II-AA and DII-AAA football teams. A new method will establish a minimum of 12 teams in DII-AAA, with the largest schools by ...

TSSAA football teams in Division II-AA and DII-AAA will no longer be affected by a success formula after the Board of Control approved a change at its March 4 meeting. The Board eliminated the success ...

This document specifies a machine learning system for network intrusion detection that implements both supervised classification and unsupervised anomaly detection methodologies. The unsupervised ...

Abstract: The 5th generation (5G) mobile network must maintain low latency for remote maintenance and inspection of infrastructures. Traffic such video streams can create traffic bursts over short ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...