This paper discusses the development of a dynamic multi-modal transport simulation model. Conventionally, multi-modal transportation system analysis is only carried out in a static framework and dynamic framework is limited to the single mode i.e. road traffic. The decision making process of an individual regarding use of transport system involves mainly three types of decisions namely, departu...

When dealing with transportation problems Operational Research (OR), and related areas as Artificial Intelligence (AI), have focused mostly on uni-modal transport problems. Due to the current existence of bigger international logistics companies, transportation problems are becoming increasingly more complex. One of the complexities arises from the use of intermodal transportation. Intermodal t...

today, along with enhancement of social well-being andeconomic development, demand for transportation is growing increasingly.many countries are seeking for providing transportation servicesat a reasonable price. therefore, optimization of carrying goods on nationalor international roads is highly important in terms of costs andtransportation indicator, so that the goods are shipped at minimumc...

in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...

Supplier selection and order allocation (SS-OA) are two of the most important strategic decisions for supply chain network design operation. If sustainability resilience criteria taken into consideration together a holistic sustainable resilient SS-OA is carried out, it may enable to perform better when subjected disruption scenarios. In this research paper, novel comprehensive multi-phase, mul...

The topic of multi-modal biometrics has attracted great interest in recent years. This talk will categorize different approaches to multi-modal biometrics based on the biometric sources, the type(s) of sensing used, and the depth of collaborative interaction in the processing. By “biometric source” we mean the property of the person that is used for identification, such as fingerprint, voice, f...

In this paper, we present a novel Probabilistic Latent Semantic Analysis-based (PLSA-based) aspect model and turn cross-media retrieval into two parts of multi-modal integration and correlation propagation. We first use multivariate Gaussian distributions to model continuous quantity in PLSA, avoiding information loss between feature-instance versus real-world matching. Multi-modal correlations...