Chandra Sekhara Rao Annavarapu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Sentiment Classification

Automatic Detection

Top Venues

J. Ambient Intell. Humaniz. Comput.

Multim. Tools Appl.

Publications

Mayur Wankhade, Chandra Sekhara Rao Annavarapu, Ajith Abraham
CBMAFM: CNN-BiLSTM Multi-Attention Fusion Mechanism for sentiment classification. Multim. Tools Appl. 83 (17) (2024)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
Abdul Wahid, Chandra Sekhara Rao Annavarapu
NaNOD: A natural neighbour-based outlier detection algorithm. Neural Comput. Appl. 33 (6) (2021)
Balaji T. K., Chandra Sekhara Rao Annavarapu, Annushree Bablani
Machine learning algorithms for social media analysis: A survey. Comput. Sci. Rev. 40 (2021)
Ebenezer Jangam, Chandra Sekhara Rao Annavarapu
A stacked ensemble for the detection of COVID-19 with high recall and accuracy. Comput. Biol. Medicine 135 (2021)
Abdul Wahid, Rajesh Sharma, Chandra Sekhara Rao Annavarapu
A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles. CoRR (2021)
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) (2021)
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) (2021)
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 (2020)
Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu
Machine learning algorithms for wireless sensor networks: A survey. Inf. Fusion 49 (2019)
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 (2018)
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)