A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

2018 ◽  
Vol 210 ◽  
pp. 35-47 ◽  
Author(s):  
Yaping Cai ◽  
Kaiyu Guan ◽  
Jian Peng ◽  
Shaowen Wang ◽  
Christopher Seifert ◽  
...  
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Classification System ◽  
High Performance ◽  
Learning Approach ◽  
Landsat Data ◽  
Field Level ◽  
Machine Learning Approach ◽  
Crop Types

scholarly journals Design of Hybrid Method for Automatic Sentiment Classification System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3616-3620
Keyword(s):  
Machine Learning ◽  
Hybrid Method ◽  
Classification System ◽  
Scientific Community ◽  
Opinion Mining ◽  
Hybrid Approach ◽  
Learning Approach ◽  
Business World ◽  
Major Aspect ◽  
Machine Learning Approach

The Developing enthusiasm for the field of opinion mining and its applications in various regions of information and also, sociology has activated numerous researchers to investigate the field The chance to catch the opinion of the overall public about get-togethers, political developments, organization systems, advertising efforts, and item inclinations has raised expanding enthusiasm of both scientific community (as a result of the energizing open difficulties) and the business world (due to the wonderful advantages for promoting and money related market expectation). Today, sentiment analysis investigation has its applications in a few unique situations. There are a decent number of organizations, both huge and little scale, that focuses on opinions and sentiments as a major aspect of their central goal. This work introduces hybrid approach that includes lexicon based approach and machine learning approach for extracting aspects and sentiments

Accelerated identification of high-performance catalysts for low-temperature NH3-SCR by machine learning

2021 ◽  
Author(s):  
Yi Dong ◽  
Yu Zhang ◽  
Mingchu Ran ◽  
Xiao Zhang ◽  
Shaojun Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Low Temperature ◽  
High Performance ◽  
Rapid Screening ◽  
Learning Approach ◽  
Scr Catalyst ◽  
Nh3 Scr ◽  
Machine Learning Approach

A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.

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