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Amplitude modulation signalling system
Known as:
AM Signalling System
, AMSS
The amplitude modulation signalling system (AMSS or the AM signalling system) is a digital system for adding low bit rate information to an analogue…
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Related topics
Related topics
5 relations
Analog signal
Digital data
Radio Data System
RadioDNS
Broader (1)
Broadcast engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Values and Limitations of the ASEAN Agreement on the Movement of Natural Persons
Yoshifumi Fukunaga
,
Hikari Ishido
2015
Corpus ID: 167554763
ASEAN Economic Ministers signed the Agreement on the Movement of Natural Persons (MNP) in 2012. This is a new instrument…
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Highly Cited
2013
Highly Cited
2013
A shape-based similarity measure for time series data with ensemble learning
Tetsuya Nakamura
,
Keishi Taki
,
Hiroki Nomiya
,
Kazuhiro Seki
,
K. Uehara
Pattern Analysis and Applications
2013
Corpus ID: 7875032
This paper introduces a shape-based similarity measure, called the angular metric for shape similarity (AMSS), for time series…
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Highly Cited
2011
Highly Cited
2011
Supervisor Design to Enforce Production Ratio and Absence of Deadlock in Automated Manufacturing Systems
Hesuan Hu
,
Mengchu Zhou
,
Zhiwu Li
IEEE Transactions on Systems, Man, and…
2011
Corpus ID: 30842288
This paper proposes a new Petri net class, namely, Ratio-enforced weighted Augmented Marked Graphs (RAMGs), and solves ratio…
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Highly Cited
2009
Highly Cited
2009
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring
Lean Yu
,
Shouyang Wang
,
K. Lai
European Journal of Operational Research
2009
Corpus ID: 15765644
Highly Cited
2009
Highly Cited
2009
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining
Lean Yu
,
Huanhuan Chen
,
Shouyang Wang
,
K. Lai
IEEE Transactions on Evolutionary Computation
2009
Corpus ID: 377810
In this paper, an evolving least squares support vector machine (LSSVM) learning paradigm with a mixed kernel is proposed to…
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Highly Cited
2009
Highly Cited
2009
Optimal Petri-Net-Based Polynomial-Complexity Deadlock-Avoidance Policies for Automated Manufacturing Systems
K. Xing
,
Mengchu Zhou
,
Huixia Liu
,
Feng Tian
IEEE Transactions on Systems, Man, and…
2009
Corpus ID: 3403689
Even for a simple automated manufacturing system (AMS), such as a general single-unit resource allocation system, the computation…
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Highly Cited
2008
Highly Cited
2008
Credit risk assessment with a multistage neural network ensemble learning approach
Lean Yu
,
Shouyang Wang
,
K. Lai
Expert systems with applications
2008
Corpus ID: 15799500
Highly Cited
2007
Highly Cited
2007
Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm
Lean Yu
,
K. Lai
,
Shouyang Wang
,
Kaijian He
International Conference on Conceptual Structures
2007
Corpus ID: 11597541
In this study, a multiscale neural network learning paradigm based on empirical mode decomposition (EMD) is proposed for crude…
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Review
2006
Review
2006
From Petri Nets to Differential Equations - An Integrative Approach for Biochemical Network Analysis
D. Gilbert
,
M. Heiner
ICATPN
2006
Corpus ID: 6023388
We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for…
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Highly Cited
1994
Highly Cited
1994
Mechanism of activation of the TGF-β receptor
J. Wrana
,
L. Attisano
,
R. Wieser
,
F. Ventura
,
J. Massagué
Nature
1994
Corpus ID: 4344481
Transforming growth factor-β (TGF-β) signals by contacting two distantly related transmem-brane serine/threonine kinases called…
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