Due to the dynamic evolution of network traffic, open world traffic classification has become a vital problem. Traditional traffic classification methods have achieved success to a certain extent but failed with unknown traffic detection due to the assumption of a closed world. Existing techniques on ...
This commentary suggests a reevaluation of lard’s classification as a “bad actor” in the context of diabetes, urging colleagues to give greater consideration to and empirically validate this intriguing hypothesis. Fangrui Guo Xiaoran wu Ji wang CommentOpen Access24 Dec 2024 npj Science of ...
In this paper we present an OpenFlow-based classification system which combines techniques leveraging information in SSL/TLS certificates and DNS traffic to perform accurate flow-level classification for encrypted traffic. We make experiments with real-world traffic to evaluate the overall classification ...
Maize (corn) systems in the US Midwest: Köppen climate classification Dfb, Phaeozem soil type48, medium soil texture. Fig. 4: The three production systems (US, India, Brazil) studied and the field data collection sites in Maharashtra India. Background map credit: Esri, DigitalGlobe, GeoEy...
According to the classification criteria of science and engineering computing applications by UC Berkeley [32], the applications are divided into thirteen kinds of topics such: dense linear algebras, sparse linear algebras, spectral methods, N-body methods, structural grids, unstructured grids, MapReduc...
We develop a classification module that can identify tweets relevant for traic authorities with 0.80 recall accuracy using a Naive Bayes classifier. The proposed model also handles vernacular geographical aspects while retrieving place information from unstructured texts using a multi-layered georeferencing ...
Classification of Twitter Vaping Discourse using BERTweet: comparative deep learning study. JMIR Med Inf. 2022;10. Alvarez-Mon MA, Donat-Vargas C, Santoma-Vilaclara J, de Anta L, Goena J, Sanchez-Bayona R et al. Assessment of Antipsychotic Medications on Social Media: machine learning study...
t need to introduce Hugging Face if you are an AI/ML enthusiast. This repo provides numerous pre-trained models that can be used for text/image/audio-related ML tasks. Some models are also capable of handling multi-modal tasks like document scanning and video classification. Basically, this ...
AID is a multi-source dataset, which makes it more challenging for scene classification than the single-source UCM. Concretely, images of each class in AID are extracted from different countries and regions around the world, and also at different times and seasons of the year under different ...
Cities are the engines for implementing the Sustainable Development Goals (SDGs), which provide a blueprint for achieving global sustainability. However, knowledge gaps exist in quantitatively assessing progress towards SDGs for different-sized cities. T