G. Swetha

According to our database, G. Swetha authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Hierarchical Attention-Based GAN with Transformer for Abstractive Text Summarisation.

G. Swetha, S. Phani Kumar

J. Inf. Knowl. Manag., March, 2026

2025

CPL-PL: Contrapositive Learning-Based Pseudo-Labeling for Semi-Supervised Scene Classification in Remote Sensing Images.

G. Swetha, Rajeshreddy Datla, Sobhan Babu Chintapalli, C. Krishna Mohan

IEEE Geosci. Remote. Sens. Lett., 2025

2024

EGANet: Elevation-guided attention network for scene classification in panchromatic remote sensing images.

Rajeshreddy Datla, G. Swetha, C. Gayathri

Neural Comput. Appl., October, 2024

A hierarchical framework based on transformer technology to achieve factual consistent and non-redundant abstractive text summarization.

G. Swetha, S. Phani Kumar

Multim. Tools Appl., May, 2024

Real-Time Challenges and Opportunities for an Effective Resource Management in Multi-cloud Environment.

H. Anwar Basha, B. H. Anilkumar, G. Swetha, Raghavendra Reddy, Sunil Manoli

SN Comput. Sci., 2024

2.2 "Zen 4c": The AMD 5nm Area-Optimized ×86-64 Microprocessor Core.

Thomas Burd, Srividhya Venkataraman, Wilson Li, Timothy Johnson, Jerry Lee, Srikirti Velaga, Mark Wasio, Thomas Yiu, Franklin Bodine, Michael McCabe, Udin Salim, Santosh Kumar Thouta, Michael Golden, Sowmya Ramachandran, Gokul Subramani Lakshmi Devi, John Wu, Yarek Kuszczak, Gaurav Singla, Carson Henrion, Andy Robison, Sabeesh Balagangadharan, Umesh Nair, Naveen Srivastava, Hari Prasad, Mohini Polimetla, Phaneendra Chennupati, Eshwar Gupta, Mahesh Vykuntam, Sumantra Sarkar, Praveen Kumar Duvvuru, Theja Mardi, G. Swetha

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer.

Damalla Rambabu, G. Swetha, Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images.

G. Swetha, Rajeshreddy Datla, Chalavadi Vishnu, Krishna Mohan C

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023