Thirumala Vijaya Lakshmi

Orcid: 0000-0002-1197-2935

Affiliations:
  • Mahatma Gandhi Institute of Technology, Telangana, India


According to our database1, Thirumala Vijaya Lakshmi authored at least 23 papers between 2014 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Semantic Segmentation of Remote Sensing Images Using Optimized Pyramidal Dilation Attention Convolutional Neural Network with Transformation Consistency Regularization.
Int. J. Wavelets Multiresolution Inf. Process., September, 2025

Dynamically Stabilized Recurrent Neural Network Optimized with Binary Emperor Penguin Optimization Algorithm Fostered Sentiment Classification and Information Retrieval.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., September, 2025

Efficient computation for task offloading in 6G mobile computing systems.
Int. J. Data Sci. Anal., May, 2025

RIS-Aided MISO Channel Estimation Using Fuzzy Embedded Recurrent Neural Network and Binary Kepler Optimization Algorithm.
Int. J. Commun. Syst., May, 2025

Optimized quantum self-attention neural network for biomedical tongue colour image analysis disease diagnosis and classification in Internet of Things.
Nano Commun. Networks, 2025

Optimized Mixed-Order Relation-Aware Recurrent Neural Networks based CAD Model for Skin Cancer Detection and Classification.
Knowl. Based Syst., 2025

Enhanced brain tumor classification via efficient predefined time adaptive neural network optimized with high-level target navigation pigeon-inspired optimization.
Knowl. Based Syst., 2025

Effective Denial-of-Service Attack (DoS) Detection Using Progressive Cyclical Convolutional Neural Network (CNN) in Wireless Sensor Networks.
Int. J. Commun. Syst., 2025

Intelligent QoS-Driven Ad Hoc On-Demand Distance Vector Routing for 5G MANET Using Physically Recurrent Neural Network.
Int. J. Commun. Syst., 2025

Global consistent graph convolutional network for amplifying piezoelectric microelectromechanical sensor performance in fluid-dynamic environments.
Comput. Networks, 2025

2024
Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images.
Medical Biol. Eng. Comput., November, 2024

Artificial intelligence-Enabled deep learning model for multimodal biometric fusion.
Multim. Tools Appl., October, 2024

Modeling and simulation of bacterial foraging variants: acoustic feature selection and classification.
Signal Image Video Process., February, 2024

Classification of multi-spectral data with fine-tuning variants of representative models.
Multim. Tools Appl., 2024

2023
Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm.
Biomed. Signal Process. Control., September, 2023

Cancer prediction with gene expression profiling and differential evolution.
Signal Image Video Process., July, 2023

2022
Entropy based single image dehazing with refined transmission using holistic edges.
Multim. Tools Appl., 2022

2021
Haze-level prior approach to enhance object visibility under atmospheric degradation.
Turkish J. Electr. Eng. Comput. Sci., 2021

2018
Feature selection to recognize text from palm leaf manuscripts.
Signal Image Video Process., 2018

2016
Modeling of palm leaf character recognition system using transform based techniques.
Pattern Recognit. Lett., 2016

A 3D Approach for Palm Leaf Character Recognition Using Histogram Computation and Distance Profile Features.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

Feature Optimization to Recognize Telugu Handwritten Characters by Implementing DE and PSO Techniques.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

2014
Telugu Handwritten Character Recognition Using Zoning Features.
Proceedings of the 2014 International Conference on IT Convergence and Security, 2014


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