Rule-based approach to e-beam and process-induced proximity effect correction for phase-shifting mask fabrication

Author(s):  
Christophe Pierrat ◽  
Joseph G. Garofalo ◽  
John DeMarco ◽  
Sheila Vaidya ◽  
Oberdan W. Otto
1994 ◽  
Vol 33 (Part 1, No. 12B) ◽  
pp. 6983-6988 ◽  
Author(s):  
Youichi Kuriyama ◽  
Shigeru Moriya ◽  
Shingo Uchiyama ◽  
Nobuo Shimazu

1994 ◽  
Vol 33 (Part 1, No. 12B) ◽  
pp. 6976-6982
Author(s):  
Sunao Aya ◽  
Kouichi Moriizumi ◽  
Takeshi Fujino ◽  
Kinya Kamiyama ◽  
Hiroyuki Minami ◽  
...  

Author(s):  
Padmavathi .S ◽  
M. Chidambaram

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.


2020 ◽  
Vol 59 (12) ◽  
pp. 126502
Author(s):  
Moataz Eissa ◽  
Takuya Mitarai ◽  
Tomohiro Amemiya ◽  
Yasuyuki Miyamoto ◽  
Nobuhiko Nishiyama

2019 ◽  
Vol 50 (2) ◽  
pp. 98-112 ◽  
Author(s):  
KALYAN KUMAR JENA ◽  
SASMITA MISHRA ◽  
SAROJANANDA MISHRA ◽  
SOURAV KUMAR BHOI ◽  
SOUMYA RANJAN NAYAK

2010 ◽  
Vol 12 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Xueying ZHNAG ◽  
Guonian LV ◽  
Boqiu LI ◽  
Wenjun CHEN

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