Akhtar M.D

Manupati V.K

Varela M.L.R

Putnik G.D

Madureira A.M

Abraham A.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Manufacturing Services Classification in a Decentralized Supply Chain Using Text Mining

Hybrid Intelligent Systems Advances in Intelligent Systems and Computing

MIS Quarterly

Explaining Data-Driven Document Classifications

Advances in Intelligent Systems and Computing International Joint Conference SOCO’13-CISIS’13-ICEUTE’13

Text Classification Techniques in Oil Industry Applications

Real-time adaptive production control in the flexible manufacturing cell (FMC) is a complex issue that needs to be addressed to realize good performance and high productivity. In this paper, we have considered a support vector machine (SVM)-based simulation approach to resolve a production control problem in an FMC that operates in a dynamic environment. A SVM-based simulation approach chooses the most relevant scheduling rule out of several predefined ones on the basis of the current states of the system. This paper examines and compares the performance of the SVM-based simulation approach with the competent scheduling rules under two different operational environments which are characterized by the uncertainty of demand. We have also developed a Visual Basic-based simulation approach for scheduling of component parts in the context of FMC under different situations. The SVM methodology to control the production offers better performance than the single-rule-based production control system.

The International Journal of Advanced Manufacturing Technology

Adaptive production control system for a flexible manufacturing cell using support vector machine-based approach

International Journal of Artificial Intelligence & Applications

Text Classification and Classifiers:A Survey

Data Mining

Advanced Pattern Mining

Journal	Data powered by TypesetHybrid Intelligent Systems Advances in Intelligent Systems and Computing
Publisher	Data powered by TypesetSpringer International Publishing
ISSN	2194-5357
Open Access	0