On the Achievement of Both Accurate and Interpretable Fuzzy Systems Using Data-Driven Design Processes

2003 ◽  
pp. 147-162 ◽  
Author(s):  
José Valente de Oliveira ◽  
Paulo Fazendeiro
Keyword(s):  
Fuzzy Systems ◽  
Data Driven ◽  
Design Processes ◽  
Using Data

Accelerating design processes using data-driven models

2021 ◽  
pp. 65-76
Author(s):  
Emil Kurvinen ◽  
Iines Suninen ◽  
Grzegorz Orzechowski ◽  
Jin H. Choi ◽  
Jin-Gyun Kim ◽  
...  
Keyword(s):  
Data Driven ◽  
Design Processes ◽  
Using Data

Development of a Pediatric Early Warning System Using Data-Driven Vital Signs

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 256A-256A
Author(s):  
Catherine Ross ◽  
Iliana Harrysson ◽  
Lynda Knight ◽  
Veena Goel ◽  
Sarah Poole ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Vital Signs ◽  
Warning System ◽  
Data Driven ◽  
Using Data

Enhanced Resilient State Estimation Using Data-Driven Auxiliary Models

2020 ◽  
Vol 16 (1) ◽  
pp. 639-647 ◽  
Author(s):  
Olugbenga Moses Anubi ◽  
Charalambos Konstantinou
Keyword(s):  
State Estimation ◽  
Data Driven ◽  
Using Data

scholarly journals Integration of various scales for measurement of insomnia

2021 ◽  
pp. 263208432110100
Author(s):  
Satyendra Nath Chakrabartty
Keyword(s):  
Test Scores ◽  
Data Driven ◽  
Weighted Sum ◽  
Future Studies ◽  
Normal Probability ◽  
Equivalent Test ◽  
Item Scores ◽  
Using Data ◽  
Set Up ◽  
Different Levels

Background Scales for evaluating insomnia differ in number of items, response format, and result in different scores distributions and score ranges and may not facilitate meaningful comparisons. Objectives Transform ordinal item-scores of three scales of insomnia to continuous, equidistant, monotonic, normally distributed scores, avoiding limitations of summative scoring of Likert scales. Methods Equidistant item-scores by weighted sum using data-driven weights to different levels of different items, considering cell frequencies of Item-Levels matrix, followed by normalization and conversion to [1, 10]. Equivalent test-scores (as sum of transformed item- scores) for a pair of scales were found by Normal Probability curves. Empirical illustration given. Results Transformed test-scores are continuous, monotonic and followed Normal distribution with no outliers and tied scores. Such test-scores facilitate ranking, better classification and meaningful comparison of scales of different lengths and formats and finding equivalent score combinations of two scales. For a given value of transformed test-score of a scale, easy alternate method avoiding integration proposed to find equivalent scores of another scales. Equivalent scores of scales help to relate various cut-off scores of different scales and uniformity in interpretations. Integration of various scales of insomnia is achieved by finding one-to-one correspondence among the equivalent score of various scales with correlation over 0.99 Conclusion Resultant test-scores facilitated undertaking analysis in parametric set up. Considering the theoretical advantages including meaningfulness of operations, better comparison, use of such method of transforming scores of Likert items/test is recommended test and items, Future studies were suggested.

Prediction of industrial debutanizer column compositions using data-driven ANFIS- and ANN-based approaches

2021 ◽  
Author(s):  
Syeda Anmol Fatima ◽  
Nasser Ramli ◽  
Syed Ali Ammar Taqvi ◽  
Haslinda Zabiri
Keyword(s):  
Data Driven ◽  
Using Data

scholarly journals Impact of COVID-19 Epidemics on Bed Requirements in a Healthcare Center Using Data-Driven Discrete-Event Simulation

2020 ◽  
Author(s):  
Jules Le Lay ◽  
Vincent Augusto ◽  
Xiaolan Xie ◽  
Edgar Alfonso-Lizarazo ◽  
Bienvenu Bongue ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Data Driven ◽  
Event Simulation ◽  
Healthcare Center ◽  
Using Data
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