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Despite rapid progress in the field of metal–organic frameworks (MOFs), the potential of using machine learning (ML) methods to predict MOF synthesis parameters is still untapped. Here, we show how ML can be used for rationalization and acceleration of the MOF discovery process by directly predicting the synthesis conditions of a MOF based on its crystal structure. Our approach is based on: i) establishing...
Objective: To investigate and discuss the application and improvement about Apriori algorithm of association rules mining (ARM) in cases mining of influenza treated by contemporary famous old Chinese medicine. Methods: We analyzed the basic principles, processes and algorithms about the Apriori algorithm of ARM, then applied this algorithm to the cases mining of influenza treated by contemporary famous...
This study is to explore effect and significance of data mining technology (DMT) used in excavating prevention and treatment experience of infectious diseases from famous herbalist doctors (FHDs). DMT methods such as cluster analysis and association rules was applied to the study on FHDs literature on preventing and treating influenza, dysentery, tuberculosis, viral hepatitis and other infectious...
An enormous amount of functions in our everyday life became dependent on computer networks. Network attacks become more sophisticated and perplexing. Defending against multi-stage attacks is a challenging process in intrusion defense systems (IDS) due to their complexity. This paper presents a game theory method to analyze the risk and impact of multi-stage attacks in IDS. In this method, the interactions...
Crops and spatial distribution of their planting area are two important factors for agricultural water management. Remote sensing has been proved an effective technique in agricultural monitoring. Crop recognition and sown area monitoring are important topics in agricultural remote sensing using data sources from variety of sensors. This paper made efforts in extracting winter wheat and its sown area...
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