Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2023 The Editor(s) (if applicable) and The Aut

ensemble

Towards Augmented Reality Interactions Driven by Universal Dynamic Procedural Browser Actions in thched by augmented reality technologies. In this order, this article presents the AR interaction structured by the ontology used in a framework that assists in the creation, exploitation, and publication of these procedures to be consumed by applications that use these technologies.

SNEER

Analysis on the Importance of Securing Data to Prevent Political Polarization,ple obtain political data. More individuals go to advanced sources and abandon news reported via television and radio stations because of its biased nature. Political actors are increasingly shaping the media, both digital and print. This research explores various security data that can be used to prevent polarization through politics.

沖擊力

Conference proceedings 2023 world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selec

難管

游行

Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/470025.jpg

出價(jià)

團(tuán)結(jié)

978-3-031-16077-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Outwit

Intelligent Systems and Applications978-3-031-16078-3Series ISSN 2367-3370 Series E-ISSN 2367-3389

熱心助人

ANNExR: Efficient Anytime Inference in DNNs via Adaptive Intermediate Decision Points, Models that allow for this type of inference at any time have become essential in the field of embedded AI, particularly for tasks that require near-real-time inference for a seamless user experience. While several techniques exist that permit anytime inference by adding intermediate decision point

跳動(dòng)

Towards Data Science for Cybersecurity: Machine Learning Advances as Glowing Perspective,tion (COVID-19), cybersecurity has crossed and still passing through significant changes by the technology and its operation. Many computer security incident response teams (CSIRT) and cybersecurity centers had reported significant behaviors of the attacks and they raised multiple warning signs, som