We propose a multidimentional time-point model and algorithm to solve Multi-Event Expert Query Parametric Estimation (ME-EQPE) problems over multivariate time series. Our proposed model and algorithm combine the strengths of both domain-knowledge-based and formal-learning-based approaches to learn optimal decision parameters for maximizing utility over multivariate time series. More specificall...

Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which has been applied widely for continuous optimization problems. In this paper, we propose an improved quantum-behaved particle swarm optimization with memory according to the means of best position of particles and using sigal step seaching strategy for sovle the multidimentional prob...

A fundamental difficulty for multidimentional poverty analysis is the identification of the poor. This paper proposes two multidimensional poverty indices: the intensive and extensive poverty, which correspond respectively to the most exclusive and inclusive definition of poverty defined according to multiple attributes. Bounds on the intensive and extensive poverty are provided. Drawing analog...

Background: Poisoning cases occur universally and have plagued mankind since antiquity. Keeping this in view, this study was contemplated to find the comparative overview of poisoning in India and Saudi Arabia to knows how the racial and cultural factors influence the pattern of poisoning. Material and Methods: A systematic web based search was conducted and original studies on poisoning publis...

Abstract The plant communities dominated by Asphodelus ramosus are quite common in the Mediterranean Basin, especially most degraded vegetation stages caused grazing and fires. aim of this paper is to provide a phytosociological description -dominated community Murge Plateau, southeastern Italy, through 28 relevés. Cluster analysis (flexible Beta method) ordination (non-metric multidimentional ...

Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decis...

In this paper we propose a numerical scheme based on finite differences for the numerical solution of nonlinear multi-point boundary value problems over adjacent domains. In each subdomain the solution is governed by different equation. The solutions are required to be smooth across the interfaces. The approach is based on using finite difference approximation of the derivatives at the interfac...