A
Ali Shemshadi
Researcher at University of Adelaide
Publications - 31
Citations - 1100
Ali Shemshadi is an academic researcher from University of Adelaide. The author has contributed to research in topics: The Internet & Web of Things. The author has an hindex of 10, co-authored 31 publications receiving 939 citations. Previous affiliations of Ali Shemshadi include Shiraz University of Technology & K.N.Toosi University of Technology.
Papers
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Journal ArticleDOI
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting
TL;DR: This paper treats supplier selection as a group multiple criteria decision making (GMCDM) problem and obtain decision makers' opinions in the form of linguistic terms which are converted to trapezoidal fuzzy numbers and extended the VIKOR method with a mechanism to extract and deploy objective weights based on Shannon entropy concept.
Proceedings ArticleDOI
Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization
TL;DR: A Collaborative Filtering method based on Non-negative Tensor Factorization, a generalization of the Matrix Factorization approach that exploits a high-order tensor instead of traditional User-Location matrix to model multi-dimensional contextual information to improve the recommendation accuracy.
Journal ArticleDOI
Theoretical and practical study of supply chain coordination
TL;DR: In this paper, the authors focus on supply chain coordination and its three determinants, i.e. responsibility interdependence, uncertainty, and inter-functional conflict, and develop research propositions to conceptualize how supply-chain coordination is driven by its determinants.
Journal ArticleDOI
Initiating a state of the art system for real-time supply chain coordination
TL;DR: This article investigates an innovative model, based on the IWW services, for a typical mobile real-time supply chain coordination system which has been developed and tested in a real operational environment and has passed the evaluation processes successfully.
Journal ArticleDOI
WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes
Lina Yao,Quan Z. Sheng,Boualem Benatallah,Schahram Dustdar,Xianzhi Wang,Ali Shemshadi,Salil S. Kanhere +6 more
TL;DR: This paper presents the architectural design of WITS, the core algorithms, along with the solutions to the technical challenges in the system implementation, for convenient and efficient care delivery.