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A Note on “Parameter Estimation and Optimization of Multi-objective Capacitated Stochastic Transportation Problem for Gamma Distribution”
Gupta et al. (Complex and Intelligent Systems (2020) 6:651–667) proposed three mathematical models for three different types of multi-objective...
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Uniqueness of Inverse Source Problems for Time-Fractional Diffusion Equations with Singular Functions in Time
We consider a fractional diffusion equation of order \(\alpha \in (0,1)\)...
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A novel inverse strain range-based adaptive Kriging method for analyzing the combined fatigue life reliability
In this paper, a novel combined fatigue life reliability analysis model is constructed from the perspective of inverse analysis of Manson-Coffin...
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Normal inverse Gaussian autoregressive model using EM algorithm
In this article, normal inverse Gaussian (NIG) autoregressive model is introduced. The parameters of the model are estimated using expectation...
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Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN)
Inverse reliability analysis evaluates a percentile value of a performance function when the target reliability is given. In cases of high...
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Improved PAPR Reduction Using Gamma Correction in SC-FDMA Systems Under Multipath Fading Channels
Single-carrier frequency division multiple access (SC-FDMA) has become one of the most attractive standards for next-generation wireless...
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Moments and inferences of inverted topp-leone distribution based on record values
In this article, the explicit expression for the moments of record values is derived from the inverted Topp-Leone distribution. We have also derived...
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Inverse heat transfer optimization of stam** with over-molding process involving high performance thermoplastic composites: experimental validation
Heat transfer plays a major role when designing manufacturing processes involving high-performance thermoplastic composites. Indeed, thermal...
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Fuzzy large margin distribution machine for classification
As a variant of Support Vector Machine (SVM), Large Margin Distribution Machine (LDM) has been validated to outperform SVM both theoretically and...
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On the Characteristics of the Pseudo-gamma Distribution with Application in Reliability and Medical Sciences
This paper explores several characteristics of the pseudo-gamma (PG) distribution proposed by Mohsin et al. (J Appl Stat Sci 18(2):239–250, 2010) and...
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Characterizing geotechnical site investigation data: a comparative study using a novel distribution model
The fitting of a parameterized distribution model to site investigation data is commonly adopted in geotechnical site characterization, but this...
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Centroid Opposite Honey Badger Algorithm Based on Adaptive T-Distribution Variation
Recently, the field of intelligent optimization has attracted many scholars to propose and develop various Swarm intelligent algorithms. In order to...
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Data generation framework for inverse modeling of nonlinear systems in structural dynamics applications
In structural dynamics, response modeling relies on parameters, which are to be identified by experiments. However, for satisfactory results, the...
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Reliability acceptance sampling procedures characterized with compound class of exponential–logarithmic distribution
Reliability sampling plans are the sampling inspection procedures used in determining the disposition of the lot(s) of products when the lifetime of...
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Uncertain Programming Model for Multiple Distribution Centers
Vehicle scheduling problem has important theoretical and practical significance for the development of applied mathematics. In recent years, many...
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Optimal planning for distribution networks considering system uncertainties using pseudo-inspired gravitational search algorithm
This paper addresses the integration challenges posed by renewable energy resources (RERs), specifically solar photovoltaic (PV) and wind generation,...
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Performance Evolution of OFDM Modulation for G-Distribution Noise Channel Using Pade’s Approximation
In the latest growing communication systems, the need for high-speed data transmission in mobile environments is essential. As the speed of data...
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A Deep Variational Autoencoder Based Inverse Method for Active Energy Consumption of Mining Plants and Ball Grinding Circuit Investigation
The natural ore distribution is unique, and the mining process entirely depends on it. Thus, every mining has its way of dressing ore due to the plan...
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Coastline Detection with Active Contour Model Based on Inverse Gaussian Distribution in SAR Images
In coastline detection, for synthetic aperture radar (SAR) images, active contour model based on gamma distribution faced unsatisfactory results...
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