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