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ORCIDChandra Sekhara Rao Annavarapu
Person information
- affiliation: Indian Institute of Technology (Indian School of Mines), Dhanbad, India
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2020 – today
- 2023
[j27]Meghana Karri
, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation. Appl. Intell. 53(12): 15407-15423 (2023)- [j26]Tapan Kumar Nayak, Chandra Sekhara Rao Annavarapu, Soumya Ranjan Nayak, Berihun Molla Gedefaw:
DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising. BMC Medical Imaging 23(1): 150 (2023) - [j25]Arushi Jain, Vishal Bhatnagar, Annavarapu Chandra Sekhara Rao, Manju Khari:
Retina disease prediction using modified convolutional neural network based on Inception-ResNet model with support vector machine classifier. Comput. Intell. 39(6): 1088-1111 (2023) - [j24]Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
Skin lesion segmentation using two-phase cross-domain transfer learning framework. Comput. Methods Programs Biomed. 231: 107408 (2023) - [j23]Meghana Karri, Chandra Sekhara Rao Annavarapu:
A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features. Expert Syst. Appl. 214: 119221 (2023) - [j22]Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Yu-Chen Hu:
Optimized levy flight model for heart disease prediction using CNN framework in big data application. Expert Syst. Appl. 223: 119859 (2023) - [j21]Praveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning. J. Ambient Intell. Humaniz. Comput. 14(3): 2951-2966 (2023) - [j20]Bala Gangadhara Gutam, Praveen Kumar Donta, Chandra Sekhara Rao Annavarapu, Yu-Chen Hu:
Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs. J. Ambient Intell. Humaniz. Comput. 14(6): 7147-7158 (2023) - [j19]Ebenezer Jangam, Chandra Sekhara Rao Annavarapu, Aaron Antonio Dias Barreto:
A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images. Multim. Tools Appl. 82(10): 14367-14401 (2023) - [j18]Meghana Karri, Chandra Sekhara Rao Annavarapu, Kishore Kumar Pedapenki:
A Real-Time Cardiac Arrhythmia Classification Using Hybrid Combination of Delta Modulation, 1D-CNN and Blended LSTM. Neural Process. Lett. 55(2): 1499-1526 (2023) - [j17]Mayur Wankhade, Chandra Sekhara Rao Annavarapu, Ajith Abraham:
MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis. J. Supercomput. 79(10): 11452-11477 (2023) - 2022
- [j16]Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni:
A survey on sentiment analysis methods, applications, and challenges. Artif. Intell. Rev. 55(7): 5731-5780 (2022) - [j15]Ebenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu:
Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking. Appl. Intell. 52(2): 2243-2259 (2022) - [j14]Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
Explainable multi-module semantic guided attention based network for medical image segmentation. Comput. Biol. Medicine 151(Part): 106231 (2022) - [j13]Praveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions. Digit. Commun. Networks 8(5): 727-744 (2022) - [j12]Abdul Wahid, Annavarapu Chandra Sekhara Rao:
RDOF: An outlier detection algorithm based on relative density. Expert Syst. J. Knowl. Eng. 39(2) (2022) - [j11]Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Ajith Abraham:
Multi-type skin diseases classification using OP-DNN based feature extraction approach. Multim. Tools Appl. 81(5): 6451-6476 (2022) - [j10]Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach. Sustain. Comput. Informatics Syst. 33: 100642 (2022) - [j9]Mayur Wankhade, Chandra Sekhara Rao Annavarapu, Mukul Kirti Verma:
CBVoSD: context based vectors over sentiment domain ensemble model for review classification. J. Supercomput. 78(5): 6411-6447 (2022) - 2021
- [j8]Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu:
Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification. Appl. Intell. 51(5): 3104-3120 (2021) - [j7]Ebenezer Jangam, Chandra Sekhara Rao Annavarapu:
A stacked ensemble for the detection of COVID-19 with high recall and accuracy. Comput. Biol. Medicine 135: 104608 (2021) - [j6]Abdul Wahid, Annavarapu Chandra Sekhara Rao:
ODRA: an outlier detection algorithm based on relevant attribute analysis method. Clust. Comput. 24(1): 569-585 (2021) - [j5]Balaji T. K., Chandra Sekhara Rao Annavarapu, Annushree Bablani:
Machine learning algorithms for social media analysis: A survey. Comput. Sci. Rev. 40: 100395 (2021) - [j4]Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
An extended ACO-based mobile sink path determination in wireless sensor networks. J. Ambient Intell. Humaniz. Comput. 12(10): 8991-9006 (2021) - [j3]Abdul Wahid, Chandra Sekhara Rao Annavarapu:
NaNOD: A natural neighbour-based outlier detection algorithm. Neural Comput. Appl. 33(6): 2107-2123 (2021) - [i2]Abdul Wahid, Rajesh Sharma, Chandra Sekhara Rao Annavarapu:
A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles. CoRR abs/2104.04939 (2021) - 2020
- [c8]Abdul Wahid, Annavarapu Chandra Sekhara Rao:
An Outlier Detection Algorithm based on KNN-kernel Density Estimation. IJCNN 2020: 1-8 - [i1]Nikhil Varma Keetha, Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu:
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation. CoRR abs/2003.09293 (2020)
2010 – 2019
- 2019
- [j2]Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
Machine learning algorithms for wireless sensor networks: A survey. Inf. Fusion 49: 1-25 (2019) - 2018
- [j1]Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints. Appl. Soft Comput. 69: 528-540 (2018) - [c7]Rathan Kumar Veeraballi, Muni Sankar Nagugari, Chandra Sekhara Rao Annavarapu, Eswar Varma Gownipuram:
Deep Learning Based Approach for Classification and Detection of Papaya Leaf Diseases. ISDA (1) 2018: 291-302 - [c6]Kundan Kumar, Annavarapu Chandra Sekhara Rao:
Breast cancer classification of image using convolutional neural network. RAIT 2018: 1-6 - [c5]Ebenezer Jangam, A. C. S. Rao:
Segmentation of Lungs from Chest X Rays Using Firefly Optimized Fuzzy C-Means and Level Set Algorithm. RTIP2R (2) 2018: 303-311 - [c4]Ebenezer Jangam, A. C. S. Rao:
Public Datasets and Techniques for Segmentation of Anatomical Structures from Chest X-Rays: Comparitive Study, Current Trends and Future Directions. RTIP2R (2) 2018: 321-331 - [c3]Abdul Wahid, A. C. S. Rao, Koushik Deb:
A Relative Kernel-density Based Outlier Detection Algorithm. SKIMA 2018: 1-7 - 2015
- [c2]Annavarapu Chandra Sekhara Rao, Suresh Dara, Haider Banka:
An Improved Quantum Inspired Immune Clone Optimization Algorithm. SEMCCO 2015: 84-91 - 2012
- [c1]A. Chandra Sekhara Rao, Durvasula V. L. N. Somayajulu, Haider Banka:
Modified correlation based technique in micro array data analysis for searching differentially expressed genes. RAIT 2012: 526-530
Coauthor Index
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