ESBL: Design and Implement A Cloud Integrated Framework for IoT Load Balancing. - Gubba Balakrishna; Nageswara Rao Moparthi (Int. J. Comput. Commun. Control, 2019)

Securing Multimedia by Using DNA-Based Encryption in the Cloud Computing Environment. - Suyel Namasudra; Rupak Chakraborty; Abhishek Majumder; Nageswara Rao Moparthi (ACM Trans. Multim. Comput. Commun. Appl., 2020)

A Review: Data Security in Cloud Computing Using Machine Learning. - Pravallika Kandi; Sujith Raj Tarapatla; Sandeep Kumar; Harshitha Kadiyam; Dinesh Chowdary; Nageswara Rao Moparthi (IC3I, 2022)

Effective neighbor node discovery using improved Bayesian clock synchronization-gossip routing protocol in mobile low duty cycle wireless sensor network. - Sravankumar Bethi; Nageswara Rao Moparthi (Concurr. Comput. Pract. Exp., 2022)

Blockchain-based IoT architecture to secure healthcare system using identity-based encryption. - Pratima Sharma; Nageswara Rao Moparthi; Suyel Namasudra; Vimal Shanmuganathan; Ching-Hsien Hsu (Expert Syst. J. Knowl. Eng., 2022)

Predicting elections over Twitter: a campaign strategies of political parties using machine learning algorithms. - G. Anuradha; Nageswara Rao Moparthi; Sridhar Namballa (Int. J. Adv. Intell. Paradigms, 2022)

Adaptive Secure Energy Efficiency Routing Protocol for Wireless Sensor Network. - Sravankumar Bethi; Nageswara Rao Moparthi (J. Mobile Multimedia, 2022)

Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science. - Vadipina Amarnadh; Nageswara Rao Moparthi (Intell. Decis. Technol., 2023)

AESPNet: Attention Enhanced Stacked Parallel Network to improve automatic Diabetic Foot Ulcer identification. - Sujit Kumar Das; Suyel Namasudra; Awnish Kumar; Nageswara Rao Moparthi (Image Vis. Comput., 2023)

An Efficient and Multi-Tier Node Deployment Strategy Using Variable Tangent Search in an IOT-Fog Environment. - Gunaganti Sravanthi; Nageswara Rao Moparthi (J. Interconnect. Networks, 2023)

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data. - Suyel Namasudra; Dhamodharavadhani S.; R. Rathipriya 001; Rubén González Crespo; Nageswara Rao Moparthi (Big Data, 2024)

MPCSAR-AHH: A hybrid deep learning model for real-time detection of cassava leaf diseases and fertilizer recommendation. - J. Siva Prashanth; Nageswara Rao Moparthi; G. Bala Krishna; A. V. Krishna Prasad; B. Sravankumar; P. Ravinder Rao (Comput. Electr. Eng., 2024)

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT. - Gunaganti Sravanthi; Nageswara Rao Moparthi (Clust. Comput., 2024)

Traffic matrix estimation using matrix-CUR decomposition. - Awnish Kumar; Ngangbam Herojit Singh; Suyel Namasudra; Rubén González Crespo; Nageswara Rao Moparthi (Comput. Commun., 2024)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture. - Arpit Jain; Nageswara Rao Moparthi; A. Swathi 003; Yogesh Kumar Sharma; Nitin Mittal; Ahmed Alhussen; Zamil S. Alzamil; Mohd Anul Haq (Comput. Syst. Sci. Eng., 2024)

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems. - Mobashshirur Rahman; Anita Murmu; Piyush Kumar; Nageswara Rao Moparthi; Suyel Namasudra (J. Inf. Secur. Appl., 2024)

Prediction and assessment of credit risk using an adaptive Binarized spiking marine predators' neural network in financial sector. - Vadipina Amarnadh; Nageswara Rao Moparthi (Multim. Tools Appl., 2024)

An efficient IoT based crop disease prediction and crop recommendation for precision agriculture. - Gunaganti Sravanthi; Nageswara Rao Moparthi (Clust. Comput., 2024)

Range control-based class imbalance and optimized granular elastic net regression feature selection for credit risk assessment. - Vadipina Amarnadh; Nageswara Rao Moparthi (Knowl. Inf. Syst., 2024)

Enhancing Security of Medical Images Using Deep Learning, Chaotic Map, and Hash Table. - Piyush Kumar; Mobashshirur Rahman; Suyel Namasudra; Nageswara Rao Moparthi (Mob. Networks Appl., 2024)

Reliable Federated Learning With GAN Model for Robust and Resilient Future Healthcare System. - Anita Murmu; Piyush Kumar; Nageswara Rao Moparthi; Suyel Namasudra; Pascal Lorenz (IEEE Trans. Netw. Serv. Manag., 2024)

Transforming Healthcare With Artificial Intelligence and Blockchain: A Secure, Transparent and Energy-Efficient Approach. - Sagnik Datta; Suyel Namasudra; Nageswara Rao Moparthi; Suchi Kumari; Rubén González Crespo (Expert Syst. J. Knowl. Eng., 2025)

A Smart Healthcare System Using Consumer Electronics and Federated Learning to Automatically Diagnose Diabetic Foot Ulcers. - Sujit Kumar Das; Nageswara Rao Moparthi; Suyel Namasudra; Rubén González Crespo; David Taniar (Int. J. Interact. Multim. Artif. Intell., 2025)

IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model. - Vinodkumar Bhutnal; Nageswara Rao Moparthi (Multim. Tools Appl., 2025)

DrugBlock: An Advanced System to Secure Drug Supply Chain Using Internet of Things and Blockchain-Enabled Consumer Electronics. - Suyel Namasudra; Sangjukta Das; Rubén González Crespo; David Taniar; Nageswara Rao Moparthi (IEEE Trans. Consumer Electron., 2025)