JEYABHARATHI P

@sriet.ac.in

Assistant Professor/ECE
Sri ranganathar Institute of Engineering and Technology

JEYABHARATHI P


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https://researchid.co/k.barathi.me

EDUCATION

Diploma in Electronica and Communication engineering
AMIE In Electronics and Communication Engineering
M.E in Communication Sytems

RESEARCH INTERESTS

Networking, Communication Sytems
4

Scopus Publications

15

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Rainfall Prediction in Data-Scarce Regions of India using Transfer Learning and Apache Spark
    E. Maruthavani, P. Jeyabharathi, Lokeshkumar Ramasamy, C. Ramesh
    2025 IEEE 1st International Conference on Innovations in Engineering and Next Generation Technologies for Sustainability Icinvents 2025, 2025
    Rainfall is a critical parameter affecting different situations in many countries. To predict certain natural calamities like floods, the prediction of rainfall is evident. India is economically driven by agriculture, which is why rainfall patterns play an important role and hence, more precise rainfall prediction techniques in India are necessary. In this research paper, we have used various machine learning models to predict the rainfall in different places in India using Spark's machine learning library. The dataset is extracted from a weather data API, which provides the most recent and accurate weather details. After determining the appropriate factors that affect rainfall for each place, we implement three machine learning models: Linear Regression, Decision Tree Regression, and Gradient Boosted Decision Tree Regression. Then, we provide a comparative analysis based on the performance of each of these models using RMSE and R squared values. Decision Tree Regression also allows further analysis because it reflects each feature's importance when predicting rainfall. The results indicate that Gradient Boosted Decision Tree Regression is the best model in the majority of cases because it offers the highest value for R squared estimation tool, and also the lowest value for the RMSE metric. When considering each parameter's importance in predicting rainfall, “Visibility” feature plays the most important role in most of the cases.
  • Bird Species Detection Using Deep Learning Techniques
    Rajasekaran Thangaraj, Jaisankar P, Lakshana S, Devadharshini G, Jeyabharathi P
    Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025
    Peacocks can significantly impact agricultural fields by damaging crops, necessitating an efficient detection system for timely intervention. This work introduces P-YOLOv5, a modified version of the YOLOv5 architecture designed for real-time object detection in resource-constrained environments. By replacing the original YOLOv5 backbone with a customized Mobile Net, which utilizes depthwise separable convolutions, P-YOLOv5 significantly reduces model size and computational complexity while preserving high detection accuracy. The model is evaluated on a detection dataset, demonstrating its effectiveness in tracking movement patterns related to environmental interactions. Experimental results show that P-YOLOv5 achieves a mean average precision (mAP) of 0.915 and a recall rate of 0.99, outperforming YOLOv5 in both inference speed and efficiency, with a 17% reduction in model size. These findings underscore P-YOLOv5 as a highly efficient solution for real-time object detection, offering a balance of speed, accuracy, and computational efficiency.
  • An enhanced HFPA-IHS-ORP-based optimization mechanism for efficient bandwidth allocation in software-defined networks
    Jeyabharathi Paulraj, Mahalakshmi Rajaram
    International Journal of Communication Systems, 2022
    Nowadays, due to the increased amount of network users and resources, some emerging technologies like big data and cloud have been developed. But managing these types of networks is more complex; in order to solve this issue, a software‐defined network (SDN) is developed for managing the network in a comfortable manner, in which maintaining load balance and energy efficiency of network is highly important to satisfy the requirements of quality of service (QoS). For these reasons, various optimization‐based algorithms are developed in the traditional works, but these lack with the limitations of increased network traffic and energy consumption. In order to solve these issues, an enhanced hybrid flower pollination algorithm (HFPA) with improved harmony search (IHS) is developed in this paper. It intends to obtain an improved resource utilization and reduced network load and delay by efficiently allocating the bandwidth to the network. Moreover, an optimal routing protocol (ORP) is employed to perform the data transmission with condensed network traffic. During experimentation, the performance results of the proposed algorithm are examined and compared with some traditional methodologies. From the results, it is noted that the proposed HFPA‐IHS‐ORP provides the better results than the existing methods.
  • A Deep Q Network Optimization Algorithm for DoS Attack in WSN
    A Puviarasu., P Jeyabharathi., K Lavanya., S. Vimalnath, V Sureshkumar., P Naveen.
    3rd International Conference on Smart Electronics and Communication Icosec 2022 Proceedings, 2022
    Wireless Sensor Networks (WSN) are frequently used to gather information based on the environmental and physical factors. Security is still a significant challenge in the design of WSN. A key security issue observed in WSN is Denial of Service (DoS) attacks. In order to classify attacks in WSN, this paper introduces an artificial Deep Q Network (DQN) method with functional link neural network (ADQN-FLNN) model. Data preprocessing is first applied to the proposed ADQN-FLNN model to make the data more understandable. Secondly, the FLNN is efficiently used to recognize and categorize the WSN intrusions. The performance of FLNN model is improved by utilizing the ADQN to tune its parameters in the best possible way. An extensive experimentation evaluation has been conducted on test data to show how the ADQN-FLNN model has produced superior results, and the findings highlighted the enhanced outcomes.

RECENT SCHOLAR PUBLICATIONS

  • Bird Species Detection Using Deep Learning Techniques
    R Thangaraj, P Jaisankar, S Lakshana, G Devadharshini, P Jeyabharathi
    2025 3rd International Conference on Intelligent Systems, Advanced Computing … , 2025
    2025
    Citations: 1
  • A FUTURISTIC APPROACH TO SEAMLESS POWER CONTROLLING, MONITORING AND DEMAND MANAGEMENT
    GV P.Jeyabharathi 1 *,P.Bhuvaneswari, J.Divya,
    International Journal of Engineering & Science Research 14 (2), 37-47 , 2024
    2024
  • A Glove Translating Sign Language into Text and Speech for Enhanced Communication Accessibility
    BP P.Jeyabharathi 1 *, A.Andichamy, C.V.Arun, J.Joyajayvarma
    International Journal of Research and Analytical Reviews (IJRAR) 11 (1), 680-686 , 2024
    2024
  • A deep Q network optimization algorithm for DoS attack in WSN
    A Puviarasu, P Jeyabharathi, K Lavanya, S Vimalnath, V Sureshkumar, ...
    2022 3rd International Conference on Smart Electronics and Communication … , 2022
    2022
    Citations: 7
  • An enhanced HFPA‐IHS‐ORP‐based optimization mechanism for efficient bandwidth allocation in software‐defined networks
    J Paulraj, M Rajaram
    International Journal of Communication Systems 35 (6), e5077 , 2022
    2022
    Citations: 3
  • An enhanced HFPA-IHS-ORP-based optimization mechanism for efficient bandwidth allocation in software-defined networks
    MR Jeyabharathi paulraj
    International Journal of Communication Systems, wiley Online library 35 (6) , 2022
    2022
  • Electronic Smart Cart with Billing Assistance in SuperMarket
    R Priya, NAS Shri, G Krishnakumar, S Kaliappan, P Jeyabharathi
    Iconic Research and Engineering Journals 3, 202-204 , 2022
    2022
    Citations: 2
  • INSTRUMENTATION INTRODUCTION
    S Kaliappan, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • COORDINATION OF FACTS CONTROLLERS
    SR Basha, N Hemalatha, YV Siva, P Reddy, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • Coordination Control Method for Zone Boundary Traffic Signals Based on Organic Computing
    J RNishanth, R Shalini, P Jeyabharathi, VR Mani
    NeuroQuantology 19 (2), 314 , 2021
    2021
  • Perception of the Wild Environment and Data Transmission Technique: Internet of Things Gateway
    R Shalini, P Jeyabharathi, JR Nishanth, S Pavithra
    NeuroQuantology 19 (2), 302 , 2021
    2021
  • FUNDAMENTAL OF MEASUREMENTS AND INSTRUMENTATION INTRODUCTION
    S Kaliappan, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • Optimal resource allocation using software defined network for wireless IOT application using RBFNN
    P Jeyabharathi, S Kaliappan
    Tierärztliche Praxis 40, 1343-1354 , 2020
    2020
  • An Optimal resource allocation for enhancing the energy efficiency in software defined networks
    DRM P.Jeyabharathi
    Caribbean Journal of Science 16 , 2019
    2019
  • A Real Time Automation of Green House Farming with Wireless Sensor Network Using Beagle board And Arduino
    CV Praveen U.K ,K.Jayaram,P.Jeyabharathi
    SSRG International Journal of Electronics and Communication Engineering … , 2019
    2019
  • Smart communicable coolant using IOT
    P Jeyabharathi
    International conference on innovation in Electrical, electronics … , 2019
    2019
  • Smart walking device for visually impaired person
    P Jeyabharathi
    International conference on emerging trends in wireless communications … , 2019
    2019
  • Smart walking device for visually impaired person
    P Jeyabharathi
    International conference on emerging trends in wireless communications … , 2019
    2019
  • HFPA: A HYBRID FLOWER POLLINATION ALGORITHM BASED OPTIMIZED RESOURCE ALLOCATION FOR DESIGN AND IMPLEMENT A QOS-AWARE SOFTWARE DEFINED NETWORK INCORPORATED WITH GREENCLOUD
    DRM P. Jeya Bharathi
    Journal of Web Engineering, 17 (6), 2426-2451 , 2018
    2018
  • Density Based Traffic Control System
    KB P.Jeyabharathi
    Asian journal of Computer science and Technology 7, 09-11 , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • A deep Q network optimization algorithm for DoS attack in WSN
    A Puviarasu, P Jeyabharathi, K Lavanya, S Vimalnath, V Sureshkumar, ...
    2022 3rd International Conference on Smart Electronics and Communication … , 2022
    2022
    Citations: 7
  • An enhanced HFPA‐IHS‐ORP‐based optimization mechanism for efficient bandwidth allocation in software‐defined networks
    J Paulraj, M Rajaram
    International Journal of Communication Systems 35 (6), e5077 , 2022
    2022
    Citations: 3
  • Electronic Smart Cart with Billing Assistance in SuperMarket
    R Priya, NAS Shri, G Krishnakumar, S Kaliappan, P Jeyabharathi
    Iconic Research and Engineering Journals 3, 202-204 , 2022
    2022
    Citations: 2
  • IOT based Garbage Monitoring and street light control
    KB P.Jeyabharathi
    Asian journal of Computer science and Technology 7, pp 33-37 , 2018
    2018
    Citations: 2
  • Bird Species Detection Using Deep Learning Techniques
    R Thangaraj, P Jaisankar, S Lakshana, G Devadharshini, P Jeyabharathi
    2025 3rd International Conference on Intelligent Systems, Advanced Computing … , 2025
    2025
    Citations: 1
  • A FUTURISTIC APPROACH TO SEAMLESS POWER CONTROLLING, MONITORING AND DEMAND MANAGEMENT
    GV P.Jeyabharathi 1 *,P.Bhuvaneswari, J.Divya,
    International Journal of Engineering & Science Research 14 (2), 37-47 , 2024
    2024
  • A Glove Translating Sign Language into Text and Speech for Enhanced Communication Accessibility
    BP P.Jeyabharathi 1 *, A.Andichamy, C.V.Arun, J.Joyajayvarma
    International Journal of Research and Analytical Reviews (IJRAR) 11 (1), 680-686 , 2024
    2024
  • An enhanced HFPA-IHS-ORP-based optimization mechanism for efficient bandwidth allocation in software-defined networks
    MR Jeyabharathi paulraj
    International Journal of Communication Systems, wiley Online library 35 (6) , 2022
    2022
  • INSTRUMENTATION INTRODUCTION
    S Kaliappan, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • COORDINATION OF FACTS CONTROLLERS
    SR Basha, N Hemalatha, YV Siva, P Reddy, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • Coordination Control Method for Zone Boundary Traffic Signals Based on Organic Computing
    J RNishanth, R Shalini, P Jeyabharathi, VR Mani
    NeuroQuantology 19 (2), 314 , 2021
    2021
  • Perception of the Wild Environment and Data Transmission Technique: Internet of Things Gateway
    R Shalini, P Jeyabharathi, JR Nishanth, S Pavithra
    NeuroQuantology 19 (2), 302 , 2021
    2021
  • FUNDAMENTAL OF MEASUREMENTS AND INSTRUMENTATION INTRODUCTION
    S Kaliappan, P Jeyabharathi
    THE OPPORTUNITIES OF UNCERTAINTIES: FLEXIBILITY AND ADAPTATION NEEDED IN … , 2021
    2021
  • Optimal resource allocation using software defined network for wireless IOT application using RBFNN
    P Jeyabharathi, S Kaliappan
    Tierärztliche Praxis 40, 1343-1354 , 2020
    2020
  • An Optimal resource allocation for enhancing the energy efficiency in software defined networks
    DRM P.Jeyabharathi
    Caribbean Journal of Science 16 , 2019
    2019
  • A Real Time Automation of Green House Farming with Wireless Sensor Network Using Beagle board And Arduino
    CV Praveen U.K ,K.Jayaram,P.Jeyabharathi
    SSRG International Journal of Electronics and Communication Engineering … , 2019
    2019
  • Smart communicable coolant using IOT
    P Jeyabharathi
    International conference on innovation in Electrical, electronics … , 2019
    2019
  • Smart walking device for visually impaired person
    P Jeyabharathi
    International conference on emerging trends in wireless communications … , 2019
    2019
  • Smart walking device for visually impaired person
    P Jeyabharathi
    International conference on emerging trends in wireless communications … , 2019
    2019
  • HFPA: A HYBRID FLOWER POLLINATION ALGORITHM BASED OPTIMIZED RESOURCE ALLOCATION FOR DESIGN AND IMPLEMENT A QOS-AWARE SOFTWARE DEFINED NETWORK INCORPORATED WITH GREENCLOUD
    DRM P. Jeya Bharathi
    Journal of Web Engineering, 17 (6), 2426-2451 , 2018
    2018