Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice. - Kranthi Kumar Lella; P. J. A. Alphonse (CoRR, 2021)

A literature review on COVID-19 disease diagnosis from respiratory sound data. - Kranthi Kumar Lella; P. J. A. Alphonse (CoRR, 2021)

Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets. - Sree Jagadeesh Malla; Kranthi Kumar Lella; P. J. A. Alphonse (Artif. Intell. Medicine, 2023)

Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis. - Kranthi Kumar Lella; Venkata Nagaraju Thatha; Pamula Udayaraju; D. Siri; G. Uday Kiran; B. N. Jagadesh; Ramesh Vatambeti (IEEE Access, 2024)

Enhancing anomaly detection: A comprehensive approach with MTBO feature selection and TVETBO Optimized Quad-LSTM classification. - N. V. Rajasekhar Reddy; N. Sree Divya; B. N. Jagadesh; Ramu Gandikota; Kranthi Kumar Lella; Bhasha Pydala; Ramesh Vatambeti (Comput. Electr. Eng., 2024)

An effective IoT and deep learning-based patient healthcare monitoring system for chronic diseases prediction and classification. - B. Anil Kumar; Kranthi Kumar Lella (Int. J. Model. Simul. Sci. Comput., 2024)

Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN. - Kranthi Kumar Lella; Jagadeesh M. S.; P. J. A. Alphonse (Health Inf. Sci. Syst., 2024)

Enhancing intrusion detection in MANETs with blockchain-based trust management and enhanced GRU model. - E. S. Phalguna Krishna; Daria Sandeep; Raviteja Kocherla; Kranthi Kumar Lella; Srikanth Molugu; Shaik Hussain Shaik Ibrahim; Ramesh Vatambeti (Peer Peer Netw. Appl., 2025)