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Ajay Verma
Researcher at Maulana Azad National Institute of Technology
Publications - 30
Citations - 313
Ajay Verma is an academic researcher from Maulana Azad National Institute of Technology. The author has contributed to research in topics: Supply chain & Injection moulding. The author has an hindex of 8, co-authored 28 publications receiving 207 citations. Previous affiliations of Ajay Verma include Shri Shankaracharya College of Engineering and Technology & Indian Institutes of Technology.
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A Review of the Effect of Process Parameters on the Performance of Plastic Injection Molding Process to Control the Warpage in Plastics
TL;DR: In this article, a study of the influence of process parameters on the injection molding process is presented, which is based on Statistically based model approach were studied and compared and the comparison shows effect of parameters on injection moulding process.
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Performance Evaluation of Classifiers Applying Directional Features for Devnagri Numeral Recognition
TL;DR: This paper has evaluated the performance of various direction features and various classifiers for the handwritten Devnagri numeral recognition and gradient features are found to outperform among various directional features.
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A Computing Methodology for Evaluating Supply Chain Competitiveness
Ajay Verma,Nisha Singhal +1 more
TL;DR: A factor based multi criteria decision making approach using AHP application as a tool to analyze a hierarchical model of supply chain competitiveness is presented.
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Reliable Devanagri Handwritten Numeral Recognition using Multiple Classifier and Flexible Zoning Approach
TL;DR: A reliability evaluation system for the recognition of Devanagri Numerals with base classifiers combined using four decision combination rules namely maximum, Median, Average and Majority Voting is proposed and used to test the reliability of recognition system against ambiguity.
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Application of Similarity Measure of Fuzzy Soft Sets in Selection of Manufacturing Method
TL;DR: Three similarity measures of fuzzy soft sets are introduced with an overview of properties of soft sets and fuzzy Soft Set theory and the measures are examined based on the distance measure, matching function and the set-theoretic approach.