Mining Closed Sequential Patterns in Progressive Databases. - R. B. V. Subramanyam; A. Suresh Rao; Ramesh Karnati; Soma Raju Suvvari; Durvasula V. L. N. Somayajulu (J. Inf. Knowl. Manag., 2013)

Deep computation model to the estimation of sulphur dioxide for plant health monitoring in IoT. - Ramesh Karnati; Hanumantu Joga Rao; Om Prakash P. G; Balajee Maram (Int. J. Intell. Syst., 2022)

Hybrid optimization enabled deep learning and spark architecture using big data analytics for stock market forecasting. - Pendela Kanchanamala; Ramesh Karnati; Palagiri Vijaya Bhaskar Reddy (Concurr. Comput. Pract. Exp., 2023)

A Novel Enhanced Approach for Security and Privacy Preserving in IoT Devices with Federal Learning Technique. - Syed Abdul Moeed; Ramesh Karnati; G. Ashmitha; Gouse Baig Mohammad; Sachi Nandan Mohanty (SN Comput. Sci., 2024)

Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction. - Viji Venugopal; Paresh Tanna; Ramesh Karnati (IEEE Access, 2025)

Brain tumor classification from MRI images using exponential-Walruses hunting optimization driven SqueezeNet. - Pendela Kanchanamala; Ramesh Karnati; Ravi Kumar Tammineni (Expert Syst. Appl., 2025)

Rainfall prediction using time series data based on RSJSO_BiLSTM. - G. Anuradha; Satish Muppidi; Ramesh Karnati; K. Phalguna Rao (Int. J. Mach. Learn. Cybern., 2025)