Minimized Memory Architecture for Low Latency Viterbi Decoder Using Zig-Zag Algorithm. - C. Arun; V. Rajamani (Int. J. Wirel. Opt. Commun., 2007)

Route Cache Optimization Mechanism Using Smart Packets for On-demand Routing Procotol in MANET. - N. Ashokraj; C. Arun; K. Murugan (ICIT, 2008)

Design and VLSI implementation of a Low Probability of Error Viterbi Decoder. - C. Arun; V. Rajamani (ICETET, 2008)

A Low Power and High Speed Viterbi Decoder Based on Deep Pipelined, Clock Blocking and Hazards Filtering. - C. Arun; V. Rajamani (Int. J. Commun. Netw. Syst. Sci., 2009)

High Performance Hybrid Two Layer Router Architecture for FPGAs Using Network On Chip - Periyathambi Ezhumalai; S. Manojkumar; C. Arun; P. Sakthivel; D. Sridharan 001 (CoRR, 2010)

Novel NoC Topology Construction for High-Performance Communications. - Periyathambi Ezhumalai; A. Chilambuchelvan; C. Arun (J. Comput. Networks Commun., 2011)

Efficient Idle Virtual Machine Management for Heterogeneous Cloud using Common Deployment Model. - C. Saravanakumar; C. Arun (KSII Trans. Internet Inf. Syst., 2016)

A New Multi-Objective Optimal Programming Model for Task Scheduling using Genetic Gray Wolf Optimization in Cloud Computing. - Gobalakrishnan Natesan; C. Arun (Comput. J., 2018)

A multi-objective EBCO-TS algorithm for efficient task scheduling in mobile cloud computing. - C. Arun; K. Prabu (Int. J. Netw. Virtual Organisations, 2020)

An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model. - C. Saravanakumar; R. Priscilla; B. Prabha; A. Kavitha; M. Prakash; C. Arun (Comput. Syst. Sci. Eng., 2022)

Genetic algorithm-based oversampling approach to prune the class imbalance issue in software defect prediction. - C. Arun; C. Lakshmi (Soft Comput., 2022)

Water Quality Analysis Using Machine Learning Techniques. - M. Kumar 004; T. Gobinath; M. Saravana Karthikeyan; C. Arun (IconDeepCom (1), 2023)

Performance evaluation of oversampling algorithm: MAHAKIL using ensemble classifiers. - C. Arun; C. Lakshmi (Int. J. Bus. Intell. Data Min., 2023)