Ch V Raghavendran

@acet.ac.in

Professor, Department of Information Technology
Aditya College of Engineering & Technology

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science Applications, Computer Science
620

Scholar Citations

11

Scholar h-index

14

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks
    CV Raghavendran, KC Mouli, SB Latha, AU Motagi
    Scientific Reports , 2026
    2026
    Citations: 1
  • An Innovative Framework Combining CNN and BiGRU for Monitoring and Forecasting Water Stress in Smart Farming Systems
    BSR Lakshmi, CV Raghavendran
    2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT), 1-6 , 2025
    2025
  • Climate change impact on geographical region and healthcare analysis using deep learning algorithms
    G Srikanth, CV Raghavendran, MR Prabhu, M Radha, NVS Kumari, ...
    Remote Sensing in Earth Systems Sciences 8 (1), 182-190 , 2025
    2025
    Citations: 44
  • SEER: SECURED ENERGY EFFICIENT ROUTING ALGORITHMS FOR ATTACKS IN WIRELESS SENSOR NETWORKS
    D Gayatri, D Chaithanya, C Raghavendran, DR PARVATHI
    Journal of Theoretical and Applied Information Technology 103 (1) , 2025
    2025
    Citations: 2
  • Ethereum Price Prediction Using Time Series and Deep Learning Techniques
    CV Raghavendran, KC Mouli, M Hajari, AAK Reddy, VSN Reddy, ...
    Applied Computational Intelligence and Soft Computing 2025 (1), 6167862 , 2025
    2025
  • An analysis on classification models for customer churn prediction
    KC Mouli, CV Raghavendran, VY Bharadwaj, GY Vybhavi, C Sravani, ...
    Cogent Engineering 11 (1), 2378877 , 2024
    2024
    Citations: 19
  • Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concrete
    KC Mouli, CV Raghavendran, C Mallikarjuna Rao, D Ushasree, ...
    Cogent Engineering 11 (1), 2368101 , 2024
    2024
    Citations: 11
  • Novel Computer Vision and Color Image Segmentation for Agriculture Application 19
    V Krishna, CV Raghavendran, SKU Faruk
    Disruptive technologies in Computing and Communication Systems: Proceedings … , 2024
    2024
  • Novel Computer Vision and Color Image Segmentation for Agriculture Application
    V Krishna, CV Raghavendran, SKU Faruk
    Disruptive technologies in Computing and Communication Systems, 115-120 , 2024
    2024
    Citations: 3
  • Forecasting Oil Production Using Regression and Ensemble Algorithms
    CV Raghavendran, SKM Basha, TRM Chigurupati, RVS Lalitha
    2023 International Conference on Advances in Computation, Communication and … , 2023
    2023
  • Network intrusion detection using ml techniques for sustainable information system
    K Chandra Mouli, B Indupriya, D Ushasree, CV Raghavendran, B Rawat, ...
    E3S Web of Conferences 430, 01064 , 2023
    2023
    Citations: 4
  • ANN and RSM based modeling of Moringa Stenopetala seed oil extraction: Process optimization and oil characterization
    C Ravi, CV Raghavendran, GN Satish, KVR Reddy, GK Reddy, ...
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 7
  • Bibliometric analysis on identifying plant crop diseases using machine learning and deep learning
    CV Raghavendran, RV Bheema Rao, SK Mahaboob Basha, ...
    Recent developments in electronics and communication systems 2, 113-118 , 2023
    2023
    Citations: 6
  • A Framework for Object Detection with Distance Metrics in Vehicular Ad hoc Networks
    RVS Lalitha, D Lalitha Sri Jalligampala, K Kavitha, CV Raghavendran
    Recent Developments in Electronics and Communication Systems: Proceedings of … , 2023
    2023
  • Identification of Nutritional Deficiencies in Crops Using Machine Learning and Image Processing Techniques
    V Krishna, YDS Raju, CV Raghavendran, P Naresh, A Rajesh
    2022 3rd International Conference on Intelligent Engineering and Management … , 2022
    2022
    Citations: 24
  • An analysis on classification models to predict possibility for type 2 diabetes of a patient
    CV Raghavendran, G Naga Satish, NSL Kumar Kurumeti, SM Basha
    Innovative Data Communication Technologies and Application: Proceedings of … , 2022
    2022
    Citations: 10
  • Dynamic Bandwidth Allocation mechanisms for Tandem Communication Networks
    CV Raghavendran, GN Satish, PS Varma
    Journal of Science and Technology 1 (1), 1-9 , 2022
    2022
  • Cyber defense in the age of artificial intelligence and machine learning for financial fraud detection application
    C Raghavendran
    IJEER , 2022
    2022
    Citations: 99
  • Proposing a reliable method of securing and verifying the credentials of graduates through blockchain
    T Rama Reddy, P Prasad Reddy, R Srinivas, CV Raghavendran, ...
    EURASIP Journal on Information Security 2021 (1), 1-9 , 2021
    2021
    Citations: 67
  • Forecasting Hourly Electrical Energy Output of a Power Plant Using Parametric Models
    CV Raghavendran, G Naga Satish, V Krishna, RVS Lalitha
    International Conference on Soft Computing and Signal Processing, 479-490 , 2021
    2021
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Cyber defense in the age of artificial intelligence and machine learning for financial fraud detection application
    C Raghavendran
    IJEER , 2022
    2022
    Citations: 99
  • House Price Prediction Using Machine Learning
    CS G. Naga Satish, Ch. V. Raghavendran, M.D.Sugnana Rao
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
    Citations: 88
  • Proposing a reliable method of securing and verifying the credentials of graduates through blockchain
    T Rama Reddy, P Prasad Reddy, R Srinivas, CV Raghavendran, ...
    EURASIP Journal on Information Security 2021 (1), 1-9 , 2021
    2021
    Citations: 67
  • Intelligent routing techniques for mobile ad hoc networks using swarm intelligence
    CHV Raghavendran, GN Satish, PS Varma
    IJ Intelligent Systems and Applications 1, 81-89 , 2013
    2013
    Citations: 47
  • Climate change impact on geographical region and healthcare analysis using deep learning algorithms
    G Srikanth, CV Raghavendran, MR Prabhu, M Radha, NVS Kumari, ...
    Remote Sensing in Earth Systems Sciences 8 (1), 182-190 , 2025
    2025
    Citations: 44
  • A Study on Cloud Computing Services
    GJM Ch. V. Raghavendran, G. Naga Satish, P. Suresh Varma
    International Journal of Engineering Research & Technology 4 (34), 67-72 , 2016
    2016
    Citations: 34
  • Security challenges and attacks in mobile ad hoc networks
    CHV Raghavendran, GN Satish, PS Varma
    IJ Information Engineering and Electronic Business 3, 49-58 , 2013
    2013
    Citations: 27
  • Identification of Nutritional Deficiencies in Crops Using Machine Learning and Image Processing Techniques
    V Krishna, YDS Raju, CV Raghavendran, P Naresh, A Rajesh
    2022 3rd International Conference on Intelligent Engineering and Management … , 2022
    2022
    Citations: 24
  • An analysis on classification models for customer churn prediction
    KC Mouli, CV Raghavendran, VY Bharadwaj, GY Vybhavi, C Sravani, ...
    Cogent Engineering 11 (1), 2378877 , 2024
    2024
    Citations: 19
  • Challenges and advances in QoS routing protocols for mobile ad hoc networks
    CHV Raghavendran, GN Satish, PS Varma, K Kumar
    International Journal of Advanced Research in Computer Science and Software … , 2013
    2013
    Citations: 15
  • Predicting student admissions rate into university using machine learning models
    CV Raghavendran, C Pavan Venkata Vamsi, T Veerraju, RK Veluri
    Machine intelligence and soft computing: Proceedings of ICMISC 2020, 151-162 , 2021
    2021
    Citations: 14
  • Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concrete
    KC Mouli, CV Raghavendran, C Mallikarjuna Rao, D Ushasree, ...
    Cogent Engineering 11 (1), 2368101 , 2024
    2024
    Citations: 11
  • Predicting Rise and Spread of COVID-19 Epidemic using Time Series Forecasting Models in Machine Learning
    SMB Ch. V. Raghavendran, G. Naga Satish, Vempati Krishna
    International Journal on Emerging Technologies 11 (4), 56-61 , 2020
    2020
    Citations: 11
  • An analysis on classification models to predict possibility for type 2 diabetes of a patient
    CV Raghavendran, G Naga Satish, NSL Kumar Kurumeti, SM Basha
    Innovative Data Communication Technologies and Application: Proceedings of … , 2022
    2022
    Citations: 10
  • Internet of Things – Opportunities, Applications and Challenges in the Prospective Smart World
    PSV Ch. V. Raghavendran, G. Naga Satish
    International Journal of Computer Science &Information Technology 4 (3), 8-16 , 2017
    2017
    Citations: 8
  • ANN and RSM based modeling of Moringa Stenopetala seed oil extraction: Process optimization and oil characterization
    C Ravi, CV Raghavendran, GN Satish, KVR Reddy, GK Reddy, ...
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 7
  • Building Time Series Prognostic Models to Analyze the Spread of COVID-19 Pandemic
    BA Ch. V. Raghavendran, G Naga Satish, Rama Reddy T
    International Journal of Advanced Science and Technology 29 (3), 13258-13268 , 2020
    2020
    Citations: 7
  • Tandem Communication Network Model with DBA having Non Homogeneous Poisson arrivals and Feedback for First Node
    CHV Raghavendran, G Naga Satish, MV Rama Sundari, P Suresh Varma
    INTERNATION JOURNAL OF COMPUTERS AND TECHNOLOGY 13 (9), 4923-4932 , 2014
    2014
    Citations: 7
  • Bibliometric analysis on identifying plant crop diseases using machine learning and deep learning
    CV Raghavendran, RV Bheema Rao, SK Mahaboob Basha, ...
    Recent developments in electronics and communication systems 2, 113-118 , 2023
    2023
    Citations: 6
  • COVID-19 in India: lockdown analysis and future predictions using regression models
    K Prathyusha, K Helini, CV Raghavendran, NSLK Kurumeti
    2021 11th International Conference on Cloud Computing, Data Science … , 2021
    2021
    Citations: 6