Modified correlation based technique in micro array data analysis for searching differentially expressed genes. - A. Chandra Sekhara Rao; Durvasula V. L. N. Somayajulu; Haider Banka (RAIT, 2012)

An Improved Quantum Inspired Immune Clone Optimization Algorithm. - Annavarapu Chandra Sekhara Rao; Suresh Dara 001; Haider Banka (SEMCCO, 2015)

Deep Learning Based Approach for Classification and Detection of Papaya Leaf Diseases. - Rathan Kumar Veeraballi; Muni Sankar Nagugari; Chandra Sekhara Rao Annavarapu; Eswar Varma Gownipuram (ISDA (1), 2018)

Breast cancer classification of image using convolutional neural network. - Kundan Kumar; Annavarapu Chandra Sekhara Rao (RAIT, 2018)

Segmentation of Lungs from Chest X Rays Using Firefly Optimized Fuzzy C-Means and Level Set Algorithm. - Ebenezer Jangam; A. C. S. Rao (RTIP2R (2), 2018)

Public Datasets and Techniques for Segmentation of Anatomical Structures from Chest X-Rays: Comparitive Study, Current Trends and Future Directions. - Ebenezer Jangam; A. C. S. Rao (RTIP2R (2), 2018)

A Relative Kernel-density Based Outlier Detection Algorithm. - Abdul Wahid; A. C. S. Rao; Koushik Deb (SKIMA, 2018)

ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Appl. Soft Comput., 2018)

Machine learning algorithms for wireless sensor networks: A survey. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Inf. Fusion, 2019)

An Outlier Detection Algorithm based on KNN-kernel Density Estimation. - Abdul Wahid; Annavarapu Chandra Sekhara Rao (IJCNN, 2020)

U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation. - Nikhil Varma Keetha; Samson Anosh Babu Parisapogu; Chandra Sekhara Rao Annavarapu (CoRR, 2020)

Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification. - Samson Anosh Babu Parisapogu; Chandra Sekhara Rao Annavarapu (Appl. Intell., 2021)

A stacked ensemble for the detection of COVID-19 with high recall and accuracy. - Ebenezer Jangam; Chandra Sekhara Rao Annavarapu (Comput. Biol. Medicine, 2021)

ODRA: an outlier detection algorithm based on relevant attribute analysis method. - Abdul Wahid; Annavarapu Chandra Sekhara Rao (Clust. Comput., 2021)

A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles. - Abdul Wahid; Rajesh Sharma; Chandra Sekhara Rao Annavarapu (CoRR, 2021)

Machine learning algorithms for social media analysis: A survey. - Balaji T. K.; Chandra Sekhara Rao Annavarapu; Annushree Bablani (Comput. Sci. Rev., 2021)

An extended ACO-based mobile sink path determination in wireless sensor networks. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (J. Ambient Intell. Humaniz. Comput., 2021)

NaNOD: A natural neighbour-based outlier detection algorithm. - Abdul Wahid; Chandra Sekhara Rao Annavarapu (Neural Comput. Appl., 2021)

A survey on sentiment analysis methods, applications, and challenges. - Mayur Wankhade; Annavarapu Chandra Sekhara Rao; Chaitanya Kulkarni (Artif. Intell. Rev., 2022)

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking. - Ebenezer Jangam; Aaron Antonio Dias Barreto; Chandra Sekhara Rao Annavarapu (Appl. Intell., 2022)

Explainable multi-module semantic guided attention based network for medical image segmentation. - Meghana Karri; Chandra Sekhara Rao Annavarapu; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Survey on recent advances in IoT application layer protocols and machine learning scope for research directions. - Praveen Kumar Donta; Satish Narayana Srirama; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Digit. Commun. Networks, 2022)

RDOF: An outlier detection algorithm based on relative density. - Abdul Wahid; Annavarapu Chandra Sekhara Rao (Expert Syst. J. Knowl. Eng., 2022)

Multi-type skin diseases classification using OP-DNN based feature extraction approach. - Arushi Jain; Annavarapu Chandra Sekhara Rao; Praphula Kumar Jain; Ajith Abraham (Multim. Tools Appl., 2022)

Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Sustain. Comput. Informatics Syst., 2022)

CBVoSD: context based vectors over sentiment domain ensemble model for review classification. - Mayur Wankhade; Chandra Sekhara Rao Annavarapu; Mukul Kirti Verma (J. Supercomput., 2022)

A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features. - Meghana Karri; Chandra Sekhara Rao Annavarapu (Expert Syst. Appl., 2023)

Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs. - Bala Gangadhara Gutam; Praveen Kumar Donta; Chandra Sekhara Rao Annavarapu; Yu-Chen Hu (J. Ambient Intell. Humaniz. Comput., 2023)

iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning. - Praveen Kumar Donta; Satish Narayana Srirama; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (J. Ambient Intell. Humaniz. Comput., 2023)

Skin lesion segmentation using two-phase cross-domain transfer learning framework. - Meghana Karri; Chandra Sekhara Rao Annavarapu; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images. - Ebenezer Jangam; Chandra Sekhara Rao Annavarapu; Aaron Antonio Dias Barreto (Multim. Tools Appl., 2023)

A Real-Time Cardiac Arrhythmia Classification Using Hybrid Combination of Delta Modulation, 1D-CNN and Blended LSTM. - Meghana Karri; Chandra Sekhara Rao Annavarapu; Kishore Kumar Pedapenki (Neural Process. Lett., 2023)

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation. - Meghana Karri; Chandra Sekhara Rao Annavarapu; U. Rajendra Acharya (Appl. Intell., 2023)

MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis. - Mayur Wankhade; Chandra Sekhara Rao Annavarapu; Ajith Abraham (J. Supercomput., 2023)

Optimized levy flight model for heart disease prediction using CNN framework in big data application. - Arushi Jain; Annavarapu Chandra Sekhara Rao; Praphula Kumar Jain; Yu-Chen Hu (Expert Syst. Appl., 2023)

DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising. - Tapan Kumar Nayak; Chandra Sekhara Rao Annavarapu; Soumya Ranjan Nayak; Berihun Molla Gedefaw (BMC Medical Imaging, 2023)

Retina disease prediction using modified convolutional neural network based on Inception-ResNet model with support vector machine classifier. - Arushi Jain; Vishal Bhatnagar; Annavarapu Chandra Sekhara Rao; Manju Khari (Comput. Intell., 2023)

A survey on aspect base sentiment analysis methods and challenges. - Mayur Wankhade; Chaitanya Kulkarni; Annavarapu Chandra Sekhara Rao (Appl. Soft Comput., 2024)

CBMAFM: CNN-BiLSTM Multi-Attention Fusion Mechanism for sentiment classification. - Mayur Wankhade; Chandra Sekhara Rao Annavarapu; Ajith Abraham (Multim. Tools Appl., 2024)

Rapid and accurate classification of Covid-19 severity in CT scans using DRIEN model and advanced feature selection. - Tapan Kumar Nayak; Annavarapu Chandra Sekhara Rao (Biomed. Signal Process. Control., 2025)