Chandra Sekhara Rao Annavarapu - researchr alias

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Viewing Publication 1 - 21 from 21

2023

iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learningPraveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu. jaihc, 14(3):2951-2966, March 2023. [doi]

Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNsBala Gangadhara Gutam, Praveen Kumar Donta, Chandra Sekhara Rao Annavarapu, Yu-Chen Hu. jaihc, 14(6):7147-7158, 2023. [doi]

A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray imagesEbenezer Jangam, Chandra Sekhara Rao Annavarapu, Aaron Antonio Dias Barreto. mta, 82(10):14367-14401, April 2023. [doi]

A Real-Time Cardiac Arrhythmia Classification Using Hybrid Combination of Delta Modulation, 1D-CNN and Blended LSTMMeghana Karri, Chandra Sekhara Rao Annavarapu, Kishore Kumar Pedapenki. npl, 55(2):1499-1526, April 2023. [doi]

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentationMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. apin, 53(12):15407-15423, June 2023. [doi]

Skin lesion segmentation using two-phase cross-domain transfer learning frameworkMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. cmpb, 231:107408, April 2023. [doi]

DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noisingTapan Kumar Nayak, Chandra Sekhara Rao Annavarapu, Soumya Ranjan Nayak, Berihun Molla Gedefaw. bmcmi, 23(1):150, December 2023. [doi]

MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysisMayur Wankhade, Chandra Sekhara Rao Annavarapu, Ajith Abraham. tjs, 79(10):11452-11477, July 2023. [doi]

2022

Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approachPraveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu. suscom, 33:100642, 2022. [doi]

Survey on recent advances in IoT application layer protocols and machine learning scope for research directionsPraveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu. dcan, 8(5):727-744, 2022. [doi]

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stackingEbenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu. apin, 52(2):2243-2259, 2022. [doi]

Explainable multi-module semantic guided attention based network for medical image segmentationMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. cbm, 151(Part):106231, 2022. [doi]

CBVoSD: context based vectors over sentiment domain ensemble model for review classificationMayur Wankhade, Chandra Sekhara Rao Annavarapu, Mukul Kirti Verma. tjs, 78(5):6411-6447, 2022. [doi]

2021

2019

Machine learning algorithms for wireless sensor networks: A surveyPraveen Kumar D., Tarachand Amgoth, Chandra Sekhara Rao Annavarapu. inffus, 49:1-25, 2019. [doi]

2018

ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraintsPraveen Kumar D., Tarachand Amgoth, Chandra Sekhara Rao Annavarapu. asc, 69:528-540, 2018. [doi]

Deep Learning Based Approach for Classification and Detection of Papaya Leaf DiseasesRathan Kumar Veeraballi, Muni Sankar Nagugari, Chandra Sekhara Rao Annavarapu, Eswar Varma Gownipuram. isda 2020: 291-302 [doi]

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