Chemical structure recognition: a rule-based approach

2012 ◽  
Author(s):  
Noureddin M. Sadawi ◽  
Alan P. Sexton ◽  
Volker Sorge
Keyword(s):  
Chemical Structure ◽  
Rule Based ◽  
Structure Recognition ◽  
Rule Based Approach

scholarly journals An empirical model for solvation based on surface site interaction points

2021 ◽  
Author(s):  
Derek P. Reynolds ◽  
Maria Chiara Storer ◽  
Christopher A. Hunter
Keyword(s):  
Empirical Model ◽  
Chemical Structure ◽  
Surface Site ◽  
Free Energies ◽  
Accurate Calculation ◽  
Rule Based ◽  
Rule Based Approach ◽  
Solvation Free Energies

A rule-based approach for assignment of Surface Site Interaction Points (SSIP) based on the chemical structure of a molecule provides a straightforward spreadsheet method for accurate calculation of solvation free energies.

scholarly journals A review of optical chemical structure recognition tools

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Kohulan Rajan ◽  
Henning Otto Brinkhaus ◽  
Achim Zielesny ◽  
Christoph Steinbeck
Keyword(s):  
Chemical Structure ◽  
Deep Neural Networks ◽  
Structural Information ◽  
Chemical Compounds ◽  
Research Field ◽  
Molecular Structures ◽  
Translation Process ◽  
Structure Recognition ◽  
Rule Based Approach ◽  
Machine Readable

Abstract Structural information about chemical compounds is typically conveyed as 2D images of molecular structures in scientific documents. Unfortunately, these depictions are not a machine-readable representation of the molecules. With a backlog of decades of chemical literature in printed form not properly represented in open-access databases, there is a high demand for the translation of graphical molecular depictions into machine-readable formats. This translation process is known as Optical Chemical Structure Recognition (OCSR). Today, we are looking back on nearly three decades of development in this demanding research field. Most OCSR methods follow a rule-based approach where the key step of vectorization of the depiction is followed by the interpretation of vectors and nodes as bonds and atoms. Opposed to that, some of the latest approaches are based on deep neural networks (DNN). This review provides an overview of all methods and tools that have been published in the field of OCSR. Additionally, a small benchmark study was performed with the available open-source OCSR tools in order to examine their performance.

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

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.

MRI Brain Tumor Image Analysis Using Fuzzy Rule based Approach

2019 ◽  
Vol 50 (2) ◽  
pp. 98-112 ◽  
Author(s):  
KALYAN KUMAR JENA ◽  
SASMITA MISHRA ◽  
SAROJANANDA MISHRA ◽  
SOURAV KUMAR BHOI ◽  
SOUMYA RANJAN NAYAK
Keyword(s):  
Image Analysis ◽  
Brain Tumor ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Mri Brain ◽  
Rule Based Approach

Rule-based Approach to Semantic Resolution of Chinese Addresses

2010 ◽  
Vol 12 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Xueying ZHNAG ◽  
Guonian LV ◽  
Boqiu LI ◽  
Wenjun CHEN
Keyword(s):  
Rule Based ◽  
Semantic Resolution ◽  
Rule Based Approach

An Automatic Question Generation System using Rule-Based Approach in Bloom’s Taxonomy

2019 ◽  
Vol 13 ◽  
Author(s):  
G Deena ◽  
K Raja ◽  
K Kannan
Keyword(s):  
Language Processing ◽  
Learning Process ◽  
Question Generation ◽  
Test Question ◽  
Rule Based ◽  
Part Of Speech ◽  
Core Idea ◽  
Rule Based Approach ◽  
Teaching Learning ◽  
Automatic Question Generation

: In this competing world, education has become part of everyday life. The process of imparting the knowledge to the learner through education is the core idea in the Teaching-Learning Process (TLP). An assessment is one way to identify the learner’s weak spot of the area under discussion. An assessment question has higher preferences in judging the learner's skill. In manual preparation, the questions are not assured in excellence and fairness to assess the learner’s cognitive skill. Question generation is the most important part of the teaching-learning process. It is clearly understood that generating the test question is the toughest part. Methods: Proposed an Automatic Question Generation (AQG) system which automatically generates the assessment questions dynamically from the input file. Objective: The Proposed system is to generate the test questions that are mapped with blooms taxonomy to determine the learner’s cognitive level. The cloze type questions are generated using the tag part-of-speech and random function. Rule-based approaches and Natural Language Processing (NLP) techniques are implemented to generate the procedural question of the lowest blooms cognitive levels. Analysis: The outputs are dynamic in nature to create a different set of questions at each execution. Here, input paragraph is selected from computer science domain and their output efficiency are measured using the precision and recall.

Rule‐Based Approach for Botnet Behavior Analysis

2021 ◽  
pp. 161-179
Author(s):  
Supriya Raheja ◽  
Geetika Munjal ◽  
Jyoti Jangra ◽  
Rakesh Garg
Keyword(s):  
Behavior Analysis ◽  
Rule Based ◽  
Rule Based Approach

scholarly journals Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts

2020 ◽  
Author(s):  
Isanka Rajapaksha ◽  
Chanika Ruchini Mudalige ◽  
Dilini Karunarathna ◽  
Nisansa de Silva ◽  
Gathika Rathnayaka ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Rule Based ◽  
Rule Based Approach ◽  
Legal Opinion
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