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A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change
Published 2025-01-01“…ML can predict future scenarios beyond rigid linear models, identifying patterns, trends, and correlations within complex systems and depicting hidden relationships. This article focuses on a case study of single-family houses in Upper Austria, chosen for its transferability to other regions. …”
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443
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Common Weak Linear Copositive Lyapunov Functions for Positive Switched Linear Systems
Published 2018-01-01“…Lyapunov functions play a key role in the stability analysis of complex systems. In this paper, we study the existence of a class of common weak linear copositive Lyapunov functions (CWCLFs) for positive switched linear systems (PSLSs) which generalize the conventional common linear copositive Lyapunov functions (CLCLFs) and can be used as handy tool to deal with the stability of PSLSs not covered by CLCLFs. …”
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445
Metamodel-Based Multidisciplinary Design Optimization of a Deep-Sea Manganese Nodules Test Miner
Published 2012-01-01“…To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. …”
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446
The future of the "Homme-trace"
Published 2014-12-01“…This paper serves as a basis for debate within the international and interdisciplinary e.laboratory “Human-Trace-Complex-Systems”, with the aim of developing a collective intelligence of the notion of Trace. …”
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447
Neutrosophic D’Agostino Test of Normality: An Application to Water Data
Published 2021-01-01“…The existing D’Agostino test cannot be applied when the data have some indeterminate observations or observations which are obtained from the complex systems. In this paper, we present a D’Agostino test under neutrosophic statistics. …”
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448
A Sequential Optimization Sampling Method for Metamodels with Radial Basis Functions
Published 2014-01-01“…Metamodels have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve computationally expensive simulation programs. …”
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449
Hidden Attractors in Chaotic Systems with Nonlinear Functions
Published 2024-06-01“…The identification and comprehension of hidden attractors broaden our understanding of complex systems and provide new directions for future study and technological development. …”
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450
Some Novel Complex Dynamic Behaviors of a Class of Four-Dimensional Chaotic or Hyperchaotic Systems Based on a Meshless Collocation Method
Published 2019-01-01“…In the field of complex systems, there is a need for better methods of knowledge discovery due to their nonlinear dynamics. …”
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451
Clinical considerations on antimicrobial resistance potential of complex microbiological samples
Published 2025-01-01Get full text
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452
Action potential-like modes as modulated waves in an extended soliton model for biomembranes and nerves
Published 2025-01-01Get full text
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453
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454
Controllability of Linear Discrete-Time Systems with Both Delayed States and Delayed Inputs
Published 2013-01-01Get full text
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455
Fixed Point Results for Weak φ-Contractions in Cone Metric Spaces over Banach Algebras and Applications
Published 2017-01-01Get full text
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456
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457
VIRTUAL ELECTRONIC COMPONENTS OF THE ELECTRONIC EQUIPMENT
Published 2015-05-01“…The article is present new idea of the creation, developments and improvements of the electronic equipment of complex systems by means of the virtual electronic components. …”
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458
A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network
Published 2018-01-01“…The complex networks approach has proven to be an effective tool to understand and predict the evolution of a wide range of complex systems. In this work, we consider the network representing the exchange of goods between countries: the international trade network. …”
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459
Research on reachable set boundary of neutral system with various types of disturbances.
Published 2025-01-01“…Our findings, verified through numerical simulations and comparisons with existing literature, demonstrate enhanced control and management capabilities for complex systems, thus underscoring the substantial theoretical and practical value of incorporating delay elements in NTSs.…”
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460
An emotional neural network based approach for wind power prediction
Published 2017-03-01“…Emotional neural network (ENN)——a new type of neural network which could be used to model complex systems and patterns, was used to forecast wind power. …”
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