Srilatha Chebrolu

Orcid: 0000-0001-7689-8951

According to our database1, Srilatha Chebrolu authored at least 12 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-head Self-Attention and Window-Attention Transformer Model for Multi-label Abdominal Trauma Classification Using 3D CT Scans.
SN Comput. Sci., April, 2026

2025
Conv-attention ViT for classification of multi-label class imbalanced data of lung thoracic diseases.
Multim. Tools Appl., June, 2025

Rapid and optimized parallel attribute reduction based on neighborhood rough sets and MapReduce.
Expert Syst. Appl., 2025

Age and energy aware data collection scheme for urban flood monitoring in UAV-assisted Wireless Sensor Networks.
Ad Hoc Networks, 2025

2024
Classification of imbalanced multi-label leaf diseases using CaRiT: class attention enabled RegionViT.
Multim. Tools Appl., May, 2024

2023
Ensemble Model of U-Net EfficientNet-B3, U-Net EfficientNet B6, CoaT, SegFormer for Segmenting Functional Tissue Units in Various Human Organs.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2017
Attribute reduction on real-valued data in rough set theory using hybrid artificial bee colony: extended FTSBPSD algorithm.
Soft Comput., 2017

2015
Forward tentative selection with backward propagation of selection decision algorithm for attribute reduction in rough set theory.
Int. J. Reason. based Intell. Syst., 2015

Attribute Reduction on Continuous Data in Rough Set Theory using Ant Colony Optimization Metaheuristic.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

2011
Attribute Reduction in Decision-Theoretic Rough Set Models Using Genetic Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2005
Feature deduction and ensemble design of intrusion detection systems.
Comput. Secur., 2005

2004
Hybrid Feature Selection for Modeling Intrusion Detection Systems.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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