Ashwini Kodipalli

According to our database, Ashwini Kodipalli authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach.

Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar, Taha Ismail

Expert Syst. J. Knowl. Eng., 2026

2024

Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model.

Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar

Expert Syst. J. Knowl. Eng., March, 2024

Design and Implementation of Meta Material Based Superstate Antenna for 5G Applications.

Kakumani Mukesh, Matta Rohit, Komaravolu Sri Dhanya, A. Ushasree, Moturi Satyanarayana, N. Udaya Kumar, Ashwini Kodipalli

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Early Detection of Pancreatic Cancer: A Machine Learning Approach with Explainable AI Insights.

Neeraj V. Pattanashetti, R. Mayur, Adarsh Prakash, Tryambaka B. Adiga, Ashwini Kodipalli, Trupthi Rao

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

2023

A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images.

Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar, Taha Ismail

Comput. Electr. Eng., August, 2023

Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors.

Ashwini Kodipalli, Steven L. Fernandes, Santosh K. Dasar, Taha Ismail

Int. J. E Health Medical Commun., 2023

Analysis of fuzzy based intelligent health care application system for the diagnosis of mental health in women with ovarian cancer using computational models.

Ashwini Kodipalli, V. Susheela Devi

Intell. Decis. Technol., 2023

EmoCNN: Unleashing Human Emotions with Customized CNN Using Different Optimizers.

Sahana M, Praneetha Umesh, Ashwini Kodipalli, Trupthi Rao

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Stratification of Depressed and Non-Depressed Texts from Social Media using LSTM and its Variants.

Keerthan Kumar T. G., Anoop R, Shashidhar G. Koolagudi, Trupthi Rao, Ashwini Kodipalli

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022

Analysis of deep learning frameworks for object detection in motion.

Gururaj Vaishnavi, Shriya Varada Ramesh, Sanjana Satheesh, Ashwini Kodipalli, Kusuma Thimmaraju

Int. J. Knowl. Based Intell. Eng. Syst., 2022

Deep Learning Sequence Models for Forecasting COVID-19 Spread and Vaccinations.

Srirupa Guha, Ashwini Kodipalli

Proceedings of the Computer Vision and Machine Intelligence, 2022