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)

AACO: Aquila Anti-Coronavirus Optimization-Based Deep LSTM Network for Road Accident and Severity Detection. - Pendela Kanchanamala; Ramanathan Lakshmanan; B. Muthu Kumar; Balajee Maram (Int. J. Pattern Recognit. Artif. Intell., 2023)

Heart disease prediction using hybrid optimization enabled deep learning network with spark architecture. - Pendela Kanchanamala; A. Suja Alphonse; P. V. Bhaskar Reddy 001 (Biomed. Signal Process. Control., 2023)

Optimization-enabled hybrid deep learning for brain tumor detection and classification from MRI. - Pendela Kanchanamala; Revathi K. G.; Manasea Selvin Belsam Jeba Ananth (Biomed. Signal Process. Control., 2023)

Q-DenseNet for heart disease prediction in spark framework. - Pendela Kanchanamala; Grandhi Siva Sankar; Aruna Bhaskar Karri (Int. J. Ad Hoc Ubiquitous Comput., 2024)

QDCNN-DMN: A hybrid deep learning approach for brain tumor classification using MRI images. - Pendela Kanchanamala; Vijayakumar Kuppusamy; Ganesan Gunasekaran (Biomed. Signal Process. Control., 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)