Gadekallu, Thippa Reddy

Industry 5.0: A survey on enabling technologies and potential applications

Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration

Digital Transformation in IndustryImpact of AI and Big Data on Business and Society

Cited by 1,890

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

R.M., S. P., Maddikunta, P. K. R., M., P., Koppu, S., Gadekallu, T. R., Chowdhary, C. L., & Alazab, M. (2020) · Computer Communications

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 470

Federated Learning for intrusion detection system: Concepts, challenges and future directions

Agrawal, S., Sarkar, S., Aouedi, O., Yenduri, G., Piamrat, K., Alazab, M., Bhattacharya, S., Maddikunta, P. K. R., & Gadekallu, T. R. (2022) · Computer Communications

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 457

PPSF: a privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities

Kumar, P., Kumar, R., Srivastava, G., Gupta, G. P., Tripathi, R., Gadekallu, T. R., & Xiong, N. N. (2021) · IEEE Transactions on Network Science and Engineering

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 360

Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions

Ramu, S. P., Boopalan, P., Pham, Q.-V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., Nguyen, T. T., & Gadekallu, T. R. (2022) · Sustainable Cities and Society

Privacy-Preserving Technologies in DataSmart Cities and Technologies

Cited by 301

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 217

Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

Bashir, A. K., Victor, N., Bhattacharya, S., Huynh-The, T., Chengoden, R., Yenduri, G., Maddikunta, P. K. R., Pham, Q.-V., Gadekallu, T. R., & Liyanage, M. (2023) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataInternet of Things and AI

Cited by 183

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

Wang, S., Qureshi, M. A., Miralles-Pechuán, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024) · IEEE Open Journal of the Communications Society

Explainable Artificial Intelligence (XAI)Software-Defined Networks and 5G

Cited by 170

RETRACTED: FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems

Arikumar, K., Prathiba, S., Alazab, M., Gadekallu, T., Pandya, S., Khan, J., & Moorthy, R. (2022) · Sensors

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 168

EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme

Song, J., Wang, W., Gadekallu, T. R., Cao, J., & Liu, Y. (2023) · IEEE Transactions on Network Science and Engineering

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 150

A secured distributed detection system based on IPFS and blockchain for industrial image and video data security

Kumar, R., Tripathi, R., Marchang, N., Srivastava, G., Gadekallu, T. R., & Xiong, N. N. (2021) · Journal of Parallel and Distributed Computing

Blockchain Technology Applications and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 140

A review on deep learning for future smart cities

Bhattacharya, S., Somayaji, S. R. K., Gadekallu, T. R., Alazab, M., & Maddikunta, P. K. R. (2022) · Internet Technology Letters

Smart Cities and TechnologiesInternet of Things and AI

Cited by 138

A comprehensive survey on federated learning techniques for healthcare informatics

Dasaradharami Reddy, K., & Gadekallu, T. R. (2023) · Computational Intelligence and Neuroscience

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 126

Real-Time 3D Object Detection and Classification in Autonomous Driving Environment Using 3D LiDAR and Camera Sensors

Arikumar, K. S., Deepak Kumar, A., Gadekallu, T. R., Prathiba, S. B., & Tamilarasi, K. (2022) · Electronics

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 46

Post-Quantum Weighted Anonymous Authentication for Hybrid VANET MAC Protocol

Ahmad, T., Hadi, M. U., Vassiliou, V., Nigar, N., Jhaveri, R. H., Abaker, M., & Gadekallu, T. R. (2026) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)Traffic control and management

Cited by 16

Novel residual hybrid machine learning for solar activity prediction in smart cities

Abdulkadir, R. A., Hasan, M. K., Islam, S., Gadekallu, T. R., Pandey, B., Safie, N., Syväjärvi, M., & Nasor, M. (2023) · Earth Science Informatics

Solar and Space Plasma DynamicsSolar Radiation and Photovoltaics

Cited by 10