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Laws of technical systems evolution

Known as: LTSE 
The laws of technical systems evolution are the most general evolution trends for technical systems discovered by TRIZ author G. S. Altshuller after… 
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Related topics

Related topics

2 relations
System dynamics

Broader (1)

Systems theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can… 
2019
2019
Altshuller ’ s laws of technical systems evolution as productive tautologies
In 1979, Genrich Altshuller published 8 laws of technical systems evolution [1], which according to him [2] can be found by… 
2018
2018
The Effects of Long Term Agricultural Production on Soil Microbial Diversity
2018
2018
Extraction of Probabilistic Behaviour Models Based on Contexts
Model extraction allows the automatic construction of behaviour models from an available implementation, which can be fed into… 
2016
2016
Leverage effects on Robust Regression Estimators
In this study, we assess the performance of some robust regression methods. These are the leasttrimmed squares estimator (LTSE… 
2015
2015
Application of Evolution Laws
2014
2014
Geração de modelos a partir de Código C
Modelos que descrevem o software são úteis para o entendimento de seu funcionamento e podem ser usados para a validação e… 
2012
2012
PEMANFAATAN LIMBAH KULIT BUAH KAKAO SEBAGAI SUMBER BAHAN AKTIF UNTUK SEDIAAN FARMASI The ltse of cocoa Husk wasteas a sourc e of Active Ingredients for Pharmaceutical Dosage Forms
Cocoa pod husks are waste produced by cocoa bean processing, and presenf a serious disposatprofrcm. ntine iiii"rt, tney beiome a… 
2010
2010
Modified LTSE-VAD Algorithm for Applications Requiring Reduced Silence Frame Misclassification
The LTSE-VAD is one of the best known algorithms for voice activity detection. In this paper we present a modified version of… 
2006
2006
Model extraction using context information
This work describes a new approach for behaviour model extraction which combines static and dynamic information. We exploit… 
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