Dr.G.P.Ramesh

Scopus Publications

Cybertwin driven resource allocation using optimized proximal policy based federated learning in 6G enabled edge environment
Sowmya Madhavan, M.G. Aruna, G.P. Ramesh, Abdul Lateef Haroon Phulara Shaik, Dhulipalla Ramya Krishna
Digital Communications and Networks, 2025
Sixth-generation (6G) communication system promises unprecedented data density and transformative applications over different industries. However, managing heterogeneous data with different distributions in 6G-enabled multi-access edge cloud networks presents challenges for efficient Machine Learning (ML) training and aggregation, often leading to increased energy consumption and reduced model generalization. To solve this problem, this research proposes a Weighted Proximal Policy-based Federated Learning approach integrated with ResNet50 and Scaled Exponential Linear Unit activation function (WPPFL-RS). The proposed method optimizes resource allocation such as CPU and memory, through enhancing the Cyber-twin technology to estimate the computing capacities of edge clouds. The proposed WPPFL-RS approach significantly minimizes the latency and energy consumption, solving complex challenges in 6G-enabled edge computing. This make sures that efficient resource utilization and enhanced performance in heterogeneous edge networks. The proposed WPPFL-RS achieves a minimum latency of 8.20 s on 100 tasks, a significant improvement over the baseline Deep Reinforcement Learning (DRL), which recorded 11.39 s. This approach highlights its potential to enhance resource utilization and performance in 6G edge networks.
Graphene-based series-fed plasmonic antenna array optimised with metaheuristic algorithm for 6G THz communications
Kalaiarasan K., Ramesh G. P.
Optik, 2025
Enhancing Water Quality Monitoring with Explainable AI and WGAN-Based Data Augmentation
Shofia Priyadharshini D., G. P. Ramesh
Remote Sensing in Earth Systems Sciences, 2025
Design, Simulation and Analysis of a Microstrip Rampart Line Antenna (MRLA) for a MIMO-OFDM Transceiver Module in UAV Applications
Science and Technology Asia, 2025
Optimal design of novel plasmonic antenna based label free biomedical sensor using Firefly algorithm
Rudra Bhanu Satpathy, Ramesh Gaddam Paneesh, Suthendran Kannan
Optik, 2025
REMOTE SENSING IMAGES FOR WATER QUALITY MONITORING BASED ON DEEP LEARNING MODEL
Journal of Theoretical and Applied Information Technology, 2025
Advanced Water Quality Assessment with IOT WSN and Multivariate Machine Learning Techniques
Shofia Priyadharshini D, G.P. Ramesh
3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025
Ensuring clean and safe water is a critical global challenge, necessitating advanced monitoring techniques for early detection of contamination. This research presents an loT-driven water quality monitoring framework that integrates wireless sensor networks (WSNs) with multivariate machine learning models to assess key water parameters in real time. The proposed system collects and transmits data to a cloud platform for analysis, employing predictive algorithms to estimate E. coli levels. Six machine learning models-Ridge Regression, Random Forest Regressor, Stochastic Gradient Boosting, Support Vector Machine, k-Nearest Neighbors, and AdaBoost-were evaluated for their predictive accuracy. Among these, AdaBoost demonstrated the highest reliability, achieving the lowest mean absolute error (MAE) of 14.37 counts per 100 mL, while Stochastic Gradient Boosting showed the least accuracy. The study further identifies an optimal set of water quality parameters (Set A) comprising pH, conductivity, chloride, turbidity, nitrates, and chlorophyll, which enhances predictive efficiency. These findings highlight the potential of AI-driven water monitoring systems as early-warning tools, providing a cost-effective approach to ensuring water safety and public health.
An X-band conformal FSS with enhanced shielding effectiveness
Andi Senthilkumar, Ramesh Gaddam Paneesh
International Journal of Electronics, 2025
A conformal frequency selective surface (FSS) with band stop property is described in this paper for X-band electromagnetic shielding applications. A thin polyimide is used as a substrate layer to develop the proposed FSS. The FSS proposed is a single-layer solution and is constructed using a modified octagonal loop element. Inductive stubs of definite length are added to the periphery of the modified octagonal loop to control the frequency and bandwidth characteristics of the FSS. The realised stopband bandwidth of the proposed FSS with reference Shielding Effectiveness (SE) of 15 dB is 40% with a centre frequency of 10 GHz. The FSS provides good polarisation stability with angular independent characteristics up to θ = 80°. The proposed FSS has stable operating characteristics under both flat and bent conditions. The prototype of the Frequency Selective Surface is manufactured, and the theoretical results are validated using experiments. The performance of the FSS is compared with the state-of-the-art. The proposed FSS unit cell is a low-profile configuration making it a suitable candidate for electromagnetic shielding in military and warfare systems.
Smart IoT-enabled Water Quality Management using Generative AI and Super-Resolution GAN for Enhanced Monitoring and Prediction
Shofia Priyadharshini D, G.P. Ramesh
3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025
An essential component of sustainable development is water quality management, which requires accurate monitoring and forecasting capabilities. Conventional methods for assessing water quality often face challenges such as sparse data, sensor inaccuracies, and real-time processing limitations. To address these challenges, this study proposes a Smart IoT-Enabled Water Quality Management System that integrates Super-Resolution Generative Adversarial Networks (SR-GAN) with artificial intelligence (AI) for enhanced monitoring and prediction. The system utilizes IoT -based smart sensors to collect real-time data on temperature, turbidity, oxygen concentration, pH levels, and other water quality parameters.SR-GAN enhances both the temporal and spatial resolution of low-quality sensor data, enabling better feature extraction and more precise information. Generative AI models are then employed for automated decision-making, anomaly detection, and forecasting, effectively identifying potential water pollution threats. Compared to conventional AI and deep learning methods, the proposed framework achieves superior performance in terms of response time efficiency (30% improvement), data quality, and prediction accuracy (98.7%). The integration of edge computing ensures low latency and real-time data processing. This innovative approach significantly enhances water quality monitoring accuracy, facilitating proactive measures and sustainable water resource management.
RNN-PSO: a tuned neural network with optimisation algorithm for keratoconus classification
G.P. Ramesh, P. Subramanian, B. Ramakantha Reddy
International Journal of Computer Applications in Technology, 2025
Keratoconus is a medical illness in which the cornea attains a conical shape due to the thinning of the corneal stroma. Its symptoms vary based on the keratoconus stage with early phases going unnoticed, while the advanced phases are characterised by vision loss and protrusion. The diagnosis of keratoconus and its severity classification using corneal topography images has gained importance with advancements in imaging technology and machine learning. Convolutional Neural Networks (CNN) is used for extracting significant features from the images to categorise the keratoconus. Then, the extracted features are classified by using a Recurrent Neural Network (RNN), and the hyperparameters of the RNN are optimised by using Particle Swarm Optimisation (PSO) which improves the keratoconus classification performance. The performance of the proposed method is evaluated with four classes namely, normal, sub-clinical, keratoconus and advanced keratoconus in terms of accuracy, sensitivity and specificity. The method attains an accuracy of 0.80 on normal, 0.81 on sub-clinical, 0.85 on keratoconus and 0.91 on advanced keratoconus.
Artificial Bee Colony Optimization Algorithm Based Selective Mapping with Partial Transmit Sequence in MIMO-OFDM for PAPR Reduction
Metti Vinodh Kumar, G. P. Ramesh, Kalyanapu Srinivas, N. V. Sanjay Kumar
Lecture Notes in Electrical Engineering, 2025
An improved cuckoo search algorithm with deep learning approach for classifying arrhythmia based on ECG signal
Dava Srinivas, I. Bhuvaneshwarri, G. P. Ramesh, Shankar Nayak Bhukya, I. Poonguzhali
Internet Technology Letters, 2024
A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT-Fog system
P. Britto Corthis, G. P. Ramesh, Ananda Babu Jayachandra
Expert Systems, 2024
A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, Yarlagadda Anuradha
Applied Sciences Switzerland, 2024
Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm
P. Britto Corthis, G. P. Ramesh, Miguel García-Torres, Roberto Ruíz
Symmetry, 2024
Early detection of Alzheimer's Disease and Dementia Using Deep Convolutional Neural Networks
G. Praveena, G.P. Ramesh
3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2024, 2024
Conformal eight-port dual band antenna with switchable radiation pattern for 5G enabled on-body wireless communications
Rudra Bhanu Satpathy, Ramesh G. P.
Microwave and Optical Technology Letters, 2024
On the Development of Big Data Intelligent Module Vocabulary System
Zhenyu Yan, He Yang, Qianqian Su, G. P. Ramesh
Lecture Notes on Data Engineering and Communications Technologies, 2024
Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
Praveena Ganesan, G. P. Ramesh, Przemysław Falkowski-Gilski, Bożena Falkowska-Gilska
Frontiers in Physiology, 2024
Bottom-Up Cracks Detection in Road Pavement in Artificial Neural Network
V Sunil Kumar, Laith H. Alzubaidi, G. P. Ramesh, M. V Sreenath, T. Gayathri
2024 1st International Conference on Software Systems and Information Technology Ssitcon 2024, 2024
Design of Bi-Conical horn Antenna for Satellite Applications
Vijitha Vijaya Kumar, G P Ramesh, Mohan Naik R, Prabu S, G Srihari
International Conference on Distributed Computing and Optimization Techniques Icdcot 2024, 2024
Adaptive Neuro-Fuzzy Inference System based Control of Non-Isolated Boost Converter for Hybrid Renewable Sources
Syed Suraya, Shaik Mohammad Irshad, Shaik Abdul Saleem, Majahar Hussain Mahammad, G. P. Ramesh
1st International Conference on Innovative Engineering Sciences and Technological Research Iciestr 2024 Proceedings, 2024
Miniaturized frequency-selective surface with reduced number of metallic vias for electromagnetic shielding
Senthilkumar Andi, Ramesh G. P.
International Journal of Communication Systems, 2023
Design Of Symmetric Meander Line Antenna (MLA) Operating At UHF Frequency Of 432.5 Mhz For Iot Smart Home Application
Jeba Kumar R J S, G. P Ramesh
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques Easct 2023, 2023
Design a Corner Notched Single Patch at SHF of 5ghz and 8ghz for Extended Sierpinski Fractal Antenna
Metti Vinodh Kumar, G.P. Ramesh, G. Gurumita Naidu
2023 International Conference on Data Science and Network Security Icdsns 2023, 2023
Design a Multiband Frequency of Partial Defected Ground for Hexagonal Fractal Antenna
R. Koniammal, G.P. Ramesh, G. Gurumita Naidu
2023 International Conference on Data Science and Network Security Icdsns 2023, 2023
A Study on the Application of Cloud-Based Database Construction in Language Subject
Zhenyu Yan, He Yang, Yu Xi, G. P. Ramesh
Lecture Notes on Data Engineering and Communications Technologies, 2023
Wide-Deep Neural Networks with Randomized Sparse Backpropagation Simplify Demand-Side Load Event Detection
Manasa Adusumilli, Ramesh G.P., Vijayrani Katkam, Bhargavi, Piyush Kumar Pareek
2023 International Conference on Data Science and Network Security Icdsns 2023, 2023
A Fault Diagnosis of Sound and Vibration Signals Using Statistical Features and Machine Learning Algorithm
Inakollu Aswani, Naresh Kumar Kar, Tanaya Ganguly, G.P. Ramesh, Tejaswini N P
2023 IEEE International Conference on Integrated Circuits and Communication Systems Icicacs 2023, 2023
Robotic Attendance Scheme in the Classroom Using Artificial Intelligence and Internet of Things
M Vinod Kumar, G.P. Ramesh, Piyush Kumar Pareek, H A Deepak, J. Ananda Babu
International Conference on Applied Intelligence and Sustainable Computing Icaisc 2023, 2023
A Hexagonal Fractal Antenna with Switchable Radiation Pattern for Network Enabled On-Body Wireless Communications
Rudra Bhanu Satpathy, G.P. Ramesh, Laith H. Alzubaidi, Yerrolla Chanti, A. H. A. Hussein, Badrireddy Sai Theja
3rd IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2023, 2023
Node localization algorithm for detecting malicious nodes to prevent connection failures and improve end-to-end delay
G. Hemanth Kumar, Ramesh G.P.
Computer Communications, 2022
Biogeography Based Optimization Algorithm and Neural Network to Optimize Place and Size of Distributed Generating System in Electrical Distribution
Syed Suraya, Shaik Mohammad Irshad, G. P. Ramesh, P. Sujatha
Journal of Electrical Engineering and Technology, 2022
An EEG Atomized Artefact Removal Algorithm: A Review
Rudra Bhanu Satpathy, G. P. Ramesh
Lecture Notes in Networks and Systems, 2022
Design of LORA Based Tracking System for Military Personnel
G. P. Ramesh, Neha
Lecture Notes in Electrical Engineering, 2022
A Journey of Artificial Intelligence and Its Evolution to Edge Intelligence
P. Britto Corthis, G. P. Ramesh
Lecture Notes in Networks and Systems, 2022
Keratoconus Classification with Convolutional Neural Networks Using Segmentation and Index Quantification of Eye Topography Images by Particle Swarm Optimisation
Subramanian P., Ramesh G. P.
Biomed Research International, 2022
Mango Leaf Disease Detection Using Ultrasonic Sensor
G Gurumita Naidu, G.P Ramesh
IEEE International Conference on Data Science and Information System Icdsis 2022, 2022
Comparative Analysis of Machine Learning Approaches for the Early Diagnosis of Keratoconus
P. Subramanian, G. P. Ramesh, B. D. Parameshachari
Lecture Notes in Electrical Engineering, 2022
Design and Analysis of New Ultra Low Power CMOS Based Flip-Flop Approaches
Naga Raju Jangam, Likhitha Guthikinda, G. P. Ramesh
Lecture Notes in Electrical Engineering, 2022
A Review on Smart Road Traffic Management System Using LoRa WAN
Naga Raju Jangam, G. P. Ramesh, P. Rachana
Lecture Notes in Electrical Engineering, 2022
Low Energy Reduction Technique via Memristor for Wireless Body Sensors
K. Ramesh, S. Parasuraman, G. P. Ramesh, P. Rachana
Lecture Notes in Electrical Engineering, 2022
Design and Comparative Analysis of Microstrip Patch Antenna by Using Various Materials in HFSS
G. P. Ramesh, Pallavi, Hanifa Abdullah, B. D. Parameshachari
Lecture Notes in Electrical Engineering, 2022
Diagnosis of keratoconus with corneal features obtained through LBP, LDP, LOOP and CSO
P Subramanian, GP Ramesh
Trends in Sciences, 2021
FPGA Implementation of 3D NOC Using Anti-Hebbian for Multicast Routing Algorithm
G. P. Ramesh, S. Prabhu
Lecture Notes in Networks and Systems, 2021
Energy Efficient Multi-hop Routing Techniques for Cluster Head Selection in Wireless Sensor Networks
G. Hemanth Kumar, G. P. Ramesh, C. Ravindra Murthy
Intelligent Systems Reference Library, 2021
Probabilistic Analysis of Dynamic Power and Area in Network on Chip
G P Ramesh
Iop Conference Series Materials Science and Engineering, 2020
Hybrid Renewable Energy Based CFSI for and Motor Application using ANFIS Based MPPT and IFOC Controller
G P Ramesh, Shaik Mohammed Irshad
Iop Conference Series Materials Science and Engineering, 2020
Design and Fabrication of Contour Shape Microstrip Patch Antenna for Biomedical Application
S Parasuraman, S Yogeeswaran, G P Ramesh
Iop Conference Series Materials Science and Engineering, 2020
Design of Microstrip Patch Antenna with improved characteristics and its performance at 5.1GHz for Wireless Applications
S Parasuraman, S Yogeeswaran, G P Ramesh
Iop Conference Series Materials Science and Engineering, 2020
Design of RZF antenna for ECG monitoring using IoT
G. P. Ramesh, N. Mohan Kumar
Multimedia Tools and Applications, 2020
Analysis of Open, Closed Loop PI, PID, FLC and ANN Controllable Wind Energy System Using Γ-ZSI with PMSM
A Jaffar Sadiq Ali, G. P. Ramesh
Lecture Notes in Electrical Engineering, 2020
ANFIS-based MPPT control in current-fed inverter for AC load applications
Shaik Mohammad Irshad, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Investigation of solar based SL-QZSI fed sensorless control of BLDC motor
A. Sundaram, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Mitigation of power quality in wind DFIG-fed grid system
P. T. Rajan, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Analysis of digital FIR filter using RLS and FT-RLS
N. C. Sendhilkumar Prasad, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Design of digital FIR filters for low power applications
Gunasekaran, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Polariton modes in dispersive and absorptive one-dimensional structured dielectric medium
N. Chandrasekar, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2020
Performance of CFSI with Pi pid and fuzzy control strategies for hybrid power supply
Journal of Advanced Research in Dynamical and Control Systems, 2020
Design and implementation of U-shape microstrip patch antenna for bio-medical application
International Journal of Advanced Science and Technology, 2019
Ear-eeg signal transmission in wsn to evaluate co-channel interference of olsr routing through residual of fractional spline wavelet for auditory hallucination diagnosis
International Journal of Advanced Science and Technology, 2019
Microstrip patch antenna for peripheral arterary disease diagnosis
G. P. Ramesh
Intelligent Systems Reference Library, 2019
75 GHz 5G frequency spectrum analysis
Sireesha Pendem, G. P. Ramesh
Intelligent Systems Reference Library, 2019
Advance approach for effective EEG artefacts removal
Rudra Bhanu Satpathy, G. P. Ramesh
Intelligent Systems Reference Library, 2019
Multi band antenna system for quality evaluation application of apple fruit
Angeline M. Flashy, G. P. Ramesh
Intelligent Systems Reference Library, 2019
Wireless EAR EEG signal analysis with stationary wavelet transform for Co channel interference in schizophrenia diagnosis
V. Nithya, G. P. Ramesh
Intelligent Systems Reference Library, 2019
Application of information science and technology in academic libraries: An overview
S. Velmurugan, G. P. Ramesh
Intelligent Systems Reference Library, 2019
High gain power generation based on hybrid renewable energy for AC load application
Shaik Mohammad Irshad, G.P Ramesh
Indonesian Journal of Electrical Engineering and Computer Science, 2018
Radiometric Analysis of Ankle Edema via RZF Antenna for Biomedical Applications
G. P. Ramesh, N. Mohan Kumar
Wireless Personal Communications, 2018
Reconfigurable antenna design for soil testing to improve soil quality
R Dinesh Kumar, G P. Ramesh
International Journal of Engineering and Technology Uae, 2018
Robust and brittle secured video for IOT
K Lakshmi Narayanan, G P. Ramesh, V Divya
International Journal of Engineering and Technology Uae, 2018
Comparative analysis of multi-port converter under various modulation indices
C K Kishore, G P Ramesh
2017 International Conference on Information Communication and Embedded Systems Icices 2017, 2017
Fuzzy logic control implementation of ultra sparse matrix converter for renewable energy applications
P. Magesh, G P Ramesh
2017 International Conference on Information Communication and Embedded Systems Icices 2017, 2017
Intelligent gateway for real time train tracking and railway crossing including emergency path using D2D communication
G. Hemanth Kumar, G. P. Ramesh
2017 International Conference on Information Communication and Embedded Systems Icices 2017, 2017
Vlsi architecture for 2D-discrete wavelet transform (DWT) based lifting method
K Lakshmi Narayanan, G P Ramesh
Indian Journal of Public Health Research and Development, 2017
Design of reconfiguration based manchester coding techniques for Li-Fi system
S Yogeeswaran, G P Ramesh
Indian Journal of Public Health Research and Development, 2017
Design of MML reduction in super high frequency antenna using HFSS for wireless communication system
S Parasuraman, G P Ramesh
Indian Journal of Public Health Research and Development, 2017
A new Photovoltaic power generation of switched inductor Quasi ZSource inverter for BLDC motor drive control
A Sundaram, G P Ramesh
Indian Journal of Public Health Research and Development, 2017
Neural network-controlled wind generator-fed г-Z source-based PMSM drive
A. Jaffar Sadiq Ali, G. P. Ramesh
Advances in Intelligent Systems and Computing, 2017
A low cost BLDC motor drive with sensor less speed estimation and minimum torque ripple powered from photo-voltaic source fed SL-QZS inverter
Journal of Engineering and Applied Sciences, 2017
Efficient design of U-shape microstrip patch antenna for RF energy harvester application
Journal of Engineering and Applied Sciences, 2017
VLSI architecture for multi-band wavelet transform based Image compression and Image reconstruction
Journal of Engineering and Applied Sciences, 2017
Implementation of high-frequency high-voltage power supply for ozone generator system using embedded controller
G. Udhayakumar, M R Rashmi, K. Patel, G. P. Ramesh, A Suresh
Proceedings of IEEE International Conference on Circuit Power and Computing Technologies Iccpct 2016, 2016
Comparison of PI and PID Controlled Wind Generator Fed Γ- Z Source based PMSM Drives
A. Jaffar Sadiq Ali, G. P. Ramesh
Indian Journal of Science and Technology, 2016
MPPT based autonomous PV module with sensor less control of BLDC motor for maximum solar power generations
International Journal of Control Theory and Applications, 2016
Hybrid energy system using three port converter
International Journal of Control Theory and Applications, 2016
Glaucoma detection in optical coherence tomography images using undecimated wavelet transform
Research Journal of Pharmaceutical Biological and Chemical Sciences, 2016
Comparative study of Glaucomatous image classification using optical coherence tomography
International Journal of Pharmaceutical Sciences Review and Research, 2016
Performance analysis of traffic engineering with optical broker using Extended Johnson Algorithm for load balancing in software defined data center networking
International Journal of Control Theory and Applications, 2016
The case of energy recovery solutions using synchronous monitoring and adaptive real time system
Journal of Engineering Science and Technology, 2016
Automated early detection of glaucoma in wavelet domain using optical coherence tomography images
A Rajan, G. P Ramesh
Biosciences Biotechnology Research Asia, 2015
Supply power factor improvement in ozone generator system using active power factor correction converter
G. Udhayakumar, Rashmi M R, K. Patel, G.P. Ramesh, Suresh A
International Journal of Power Electronics and Drive Systems, 2015
Glaucomatous image classification using wavelet transform
A. Rajan, G.P. Ramesh, J. Yuvaraj
Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014, 2015
Design aspects of blade shape and position for the MAGLEV vertical axis wind turbine
G. P. Ramesh, C. V. Aravind
Lecture Notes in Electrical Engineering, 2015
Comparison of PID and fuzzy logic controlled wind generator fed Γ-Z source based PMSM drive systems
Arpn Journal of Engineering and Applied Sciences, 2015
Automated early detection of glaucoma in wavelet domain using Optical Coherence Tomography images
A. RAJAN
Biomedical and Pharmacology Journal, 2015
Reduce torque ripple using novel torque distribution function for embedded applications
International Journal of Applied Engineering Research, 2015
Assessment on the harnessing of the energy from the back pressure chamber of palm oil mill
Journal of Engineering Science and Technology, 2015
Microstrip antenna designs for RF energy harvesting
G.P. Ramesh, A. Rajan
International Conference on Communication and Signal Processing Iccsp 2014 Proceedings, 2014
SRAM based random number generator for non-repeating pattern generation
G.P. Ramesh, A. Rajan
Applied Mechanics and Materials, 2014
High-frequency high-voltage power supply for ozone generator system
International Journal of Applied Engineering Research, 2014
Sintering, microstructure and dielectric properties of MgO doped alumina ceramics co-doped with Gd3O2, and Pr6O2
Optoelectronics and Advanced Materials Rapid Communications, 2013

Dr.G.P.Ramesh

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