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R. Regin

Researcher at Adhiyamaan College of Engineering

Publications -  32
Citations -  195

R. Regin is an academic researcher from Adhiyamaan College of Engineering. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 6, co-authored 25 publications receiving 85 citations.

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Journal ArticleDOI

A Genetic Programming Approach to Binary Classification Problem

TL;DR: In this article, feature transformation and feature creation were used to improve the accuracy of the binary classification system using genetic programming (GP) and feature engineering was used to increase the accuracy.
Journal ArticleDOI

Dynamic Clustering Mechanism to Avoid Congestion Control in Vehicular Ad Hoc Networks Based on Node Density

TL;DR: The proposed DBDC: density based dynamic clustering devices determine node density of the precise location in a lane and provide a proactive solution for congestion and the simulation result indicates that the overall performance of the scheme is better than multi agentynamic clustering and vehicular weighted clustering algorithm.
Proceedings ArticleDOI

Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles

TL;DR: In this paper, the authors classify the information needed for an effective search: (1) ligneous particulars that measure the difficulty of finding a goal using a random search; (2) physiologic particulars that estimate the challenge of obtaining a goal once a search has some of the problem-relevant information; and (3) active particulars that distinguish the differences among specific particulars.
Proceedings ArticleDOI

Optimization Technique Approach to Resolve Food Sustainability Problems

TL;DR: In this paper, the authors suggest possible arrangements between different supermarket chains in this study, using a strategic methodology and game theory to develop a modern, with generations to come, effectively diets.
Journal ArticleDOI

An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality

TL;DR: The proposed MeL app planned to create the learning practice easier, focusing on e-learner's requirements by encouraging e-learners and instructor relationships to maintain communicative development-based e-learning for Technical Higher Education (THE).