| 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 | 64* | 2019 |
| Cyber defense in the age of artificial intelligence and machine learning for financial fraud detection application B Narsimha, CV Raghavendran, P Rajyalakshmi, GK Reddy, M Bhargavi, ... IJEER 10 (2), 87-92, 2022 | 46 | 2022 |
| 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 | 42 | 2021 |
| 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 | 41 | 2013 |
| 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 | 31* | 2016 |
| 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 | 27 | 2013 |
| 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 | 14 | 2022 |
| 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 | 14 | 2013 |
| 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 | 9 | 2020 |
| 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 | 8 | 2021 |
| 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 | 6 | 2021 |
| 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 | 6 | 2014 |
| A study on contributory group key agreements for mobile ad hoc networks CH Raghavendran, GN Satish, PS Varma International Journal of Computer Network and Information Security 5 (4), 48-56, 2013 | 6 | 2013 |
| 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 | 5 | 2022 |
| Predicting Coronary Heart Disease: A Comparison between Machine Learning Models CVR K. Helini, K. Prathyusha, K. Sandhya Rani International Journal of Advanced Science and Technology 29 (3), 12635 - 12643, 2020 | 5 | 2020 |
| 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 | 5 | 2020 |
| Predicting the cost of pre-owned cars using classification techniques in machine learning B Lakshmi Sucharitha, CV Raghavendran, B Venkataramana International Conference on Advances in Computational Intelligence and …, 2019 | 5 | 2019 |
| 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 | 5* | 2017 |
| ANN and RSM based Modeling of Moringa Stenopetala Seed Oil Extraction: Process Optimization and Oil Characterization CN Ravi, CV Raghavendran, GN Satish, KV Reddy, GK Reddy, ... | 5 | |
| 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 | 4 | 2024 |
P Suresh VarmaProfessor of Computer Science and Engineering, Adikavi Nannaya University在 aknu.edu.in 的电子邮件经过验证
