Results 101 to 110 of about 3,156,706 (370)
Application of Video Scene Semantic Recognition Technology in Smart Video
Tehnički Vjesnik, 2018 Video behaviour recognition and semantic recognition understanding are important components of intelligent video analytics. Traditionally, human behaviour recognition has met problems of low recognition efficiencies and poor accuracies. For example, most
Lele Qin, Lihua Kang
doaj +1 more source
Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search and Analytics [PDF]
, 2016 In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given ...
arxiv +1 more source
Advanced Healthcare Materials, EarlyView.This study reports a novel strategy for preparing a biocompatible adhesive hydrogel crosslinked with a muscle tissue‐derived extracellular matrix (MEM) for in situ muscle regeneration. As a natural crosslinker, MEM not only mediates combinatorial polymer networks but also stimulates satellite cells to induce a cell‐free therapeutic solution.
Eun Je Jeon +6 more
wiley +1 more source
Statistical metadata in knowledge discovery
Dyna, 2017 Metadata represents the semantic schema of the data collected over the years by an organization in order to apply the business intelligence approach. However, the metadata normally collected are not enough to facilitate knowledge discovery processes ...
Claudia Jiménez Ramírez +2 more
doaj +1 more source
Enhancing Information Awareness Through Directed Qualification of Semantic Relevancy Scoring Operations [PDF]
arXiv, 2015 Successfully managing analytics-based semantic relationships and their provenance enables determinations of document importance and priority, furthering capabilities for machine-based relevancy scoring operations. Semantic technologies are well suited for modeling explicit and fully qualified relationships but struggle with modeling relationships that ...
arxiv
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion [PDF]
arXiv, 2020 Semantic Noise affects text analytics activities for the domain-specific industries significantly. It impedes the text understanding which holds prime importance in the critical decision making tasks. In this work, we formalize semantic noise as a sequence of terms that do not contribute to the narrative of the text.
arxiv
Advanced Materials, EarlyView.The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
DeepSIC: Deep Semantic Image Compression [PDF]
arXiv, 2018 Incorporating semantic information into the codecs during image compression can significantly reduce the repetitive computation of fundamental semantic analysis (such as object recognition) in client-side applications. The same practice also enable the compressed code to carry the image semantic information during storage and transmission.
arxiv
The analytic hierarchy process with personalized individual semantics [PDF]
International Journal of Computational Intelligence Systems, 2018 Personalized individual semantics (PIS) is not unusual in our daily life, and it has an important influence on the final decision results in linguistic decision making. The analytic hierarchy process (AHP) has now become a popular decision tool because of its sound mathematical design and ease of applicability to real-world decision making problems. In
Yucheng Dong +3 more
openaire +3 more sources
Advanced Optical Materials, EarlyView.Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley +1 more source