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[HTML][HTML] Design of a hybrid NAR-RBFs neural network for nonlinear dusty plasma system
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
A multi-objective optimization approach for sustainable and personalized trip planning: A self-adaptive evolutionary algorithm with case study
In the modern tourism landscape, the fusion of sustainability and personalized travel plans
marks a significant paradigm shift. This paper presents a novel multi-objective optimization …
marks a significant paradigm shift. This paper presents a novel multi-objective optimization …
Solution of linear and quadratic equations based on triangular linear diophantine fuzzy numbers
This paper is introducing a new concept of triangular linear Diophantine fuzzy numbers
(TLDFNs) in a generic way. We first introduce the concept of TLDFNs and then study the …
(TLDFNs) in a generic way. We first introduce the concept of TLDFNs and then study the …
Applications of fuzzy logic, artificial neural network and neuro-fuzzy in industrial engineering
Artificial intelligence methods namely artificial neural network, fuzzy logic, and neuro-fuzzy
have been effectively utilized in different applications like business, marketing, control …
have been effectively utilized in different applications like business, marketing, control …
[HTML][HTML] Multi-objective fuzzy tourist trip design problem with heterogeneous preferences and sustainable itineraries
Tourism has direct and indirect implications for CO 2 emissions. Therefore, it is necessary to
develop tourism management based on sustainable tourism, mainly in the transport process …
develop tourism management based on sustainable tourism, mainly in the transport process …
A novel technique for solving fully fuzzy nonlinear systems based on neural networks
Predicting the solutions of complex systems is a crucial challenge. Complexity exists
because of the uncertainty as well as nonlinearity. The nonlinearity in complex systems …
because of the uncertainty as well as nonlinearity. The nonlinearity in complex systems …
Granular computing: An augmented scheme of degranulation through a modified partition matrix
As an important technology in artificial intelligence, Granular Computing has emerged as a
new multi-disciplinary paradigm and received much attention in recent years. Information …
new multi-disciplinary paradigm and received much attention in recent years. Information …
[책][B] Flow modelling and control in pipeline systems: a formal systematic approach
This book introduces novel methods for leak and blockage detection in pipelines. The leak
happens as a result of ageing pipelines or extreme pressure forced by operational error or …
happens as a result of ageing pipelines or extreme pressure forced by operational error or …
Flow modelling and control in pipeline systems
A pipeline system as one of the effective tools for transporting fluids despite the cost of
proper maintenance, has been taken to be a complex system accompanied by several kinds …
proper maintenance, has been taken to be a complex system accompanied by several kinds …
The solution techniques for linear and quadratic equations with coefficients as Cauchy neutrosphic numbers
Finding the roots of equations is an ancient art of mathematics. To deal with the physical
phenomena with vague information, the relations and equalities have to be expressed in …
phenomena with vague information, the relations and equalities have to be expressed in …