Pendela Kanchanamala

According to our database, Pendela Kanchanamala authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

2024

Q-DenseNet for heart disease prediction in spark framework.

Pendela Kanchanamala, Grandhi Siva Sankar, Aruna Bhaskar Karri

Int. J. Ad Hoc Ubiquitous Comput., 2024

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., July, 2023

Heart disease prediction using hybrid optimization enabled deep learning network with spark architecture.

Pendela Kanchanamala, A. Suja Alphonse, P. V. Bhaskar Reddy

Biomed. Signal Process. Control., July, 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., April, 2023

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