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A new hazard event classification model via deep learning and multifractal
Then, a new multifractal analysis method termed HmF-DFA is proposed to win HaE fractal series by analyzing HaE time series.
Yes, DLGM! A novel hierarchical model for hazard classification
In this paper, we propose a novel model termed DLGM via deep learning for hazard classification.
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction
The Zipf's Law emerges as a well-suited adoption, and to transition from words to entities, words within the documents are classified as common and rare ones.
A New Multifractal-based Deep Learning Model for Text Mining
In this world full of uncertainty, where the fabric of existence weaves patterns of complexity, multifractal emerges as beacons of insight, illuminating them.
Chinese Named Entity Recognition
named-entity-recognition
+1
Why KDAC? A general activation function for knowledge discovery
We hope that KDAC can be exploited as a promising activation function to devote itself to the construction of knowledge.
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process
In order to reuse and unlock the value of ISK and optimize HAZOP, we have developed a novel knowledge graph for industrial safety (ISKG) with HAZOP as the carrier through bridging data science and engineering design.
