Chandra Sekhara Rao Annavarapu
Orcid: 0000-0002-1239-9843Affiliations:
- Indian Institute of Technology (Indian School of Mines), Dhanbad, India
According to our database1,
Chandra Sekhara Rao Annavarapu
authored at least 37 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Retina disease prediction using modified convolutional neural network based on Inception-ResNet model with support vector machine classifier.
Comput. Intell., December, 2023
DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising.
BMC Medical Imaging, December, 2023
Optimized levy flight model for heart disease prediction using CNN framework in big data application.
Expert Syst. Appl., August, 2023
MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis.
J. Supercomput., July, 2023
SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation.
Appl. Intell., June, 2023
A Real-Time Cardiac Arrhythmia Classification Using Hybrid Combination of Delta Modulation, 1D-CNN and Blended LSTM.
Neural Process. Lett., April, 2023
A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images.
Multim. Tools Appl., April, 2023
Comput. Methods Programs Biomed., April, 2023
iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning.
J. Ambient Intell. Humaniz. Comput., March, 2023
Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs.
J. Ambient Intell. Humaniz. Comput., 2023
A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features.
Expert Syst. Appl., 2023
2022
CBVoSD: context based vectors over sentiment domain ensemble model for review classification.
J. Supercomput., 2022
Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach.
Sustain. Comput. Informatics Syst., 2022
Multi-type skin diseases classification using OP-DNN based feature extraction approach.
Multim. Tools Appl., 2022
Expert Syst. J. Knowl. Eng., 2022
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions.
Digit. Commun. Networks, 2022
Explainable multi-module semantic guided attention based network for medical image segmentation.
Comput. Biol. Medicine, 2022
Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking.
Appl. Intell., 2022
Artif. Intell. Rev., 2022
2021
Neural Comput. Appl., 2021
J. Ambient Intell. Humaniz. Comput., 2021
Comput. Sci. Rev., 2021
A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles.
CoRR, 2021
Clust. Comput., 2021
Comput. Biol. Medicine, 2021
Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification.
Appl. Intell., 2021
2020
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Inf. Fusion, 2019
2018
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints.
Appl. Soft Comput., 2018
Proceedings of the 12th International Conference on Software, 2018
Public Datasets and Techniques for Segmentation of Anatomical Structures from Chest X-Rays: Comparitive Study, Current Trends and Future Directions.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018
Segmentation of Lungs from Chest X Rays Using Firefly Optimized Fuzzy C-Means and Level Set Algorithm.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018
Deep Learning Based Approach for Classification and Detection of Papaya Leaf Diseases.
Proceedings of the Intelligent Systems Design and Applications, 2018
2015
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015
2012
Modified correlation based technique in micro array data analysis for searching differentially expressed genes.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012