Industry 5.0: A survey on enabling technologies and potential applications PKR Maddikunta, QV Pham, B Prabadevi, N Deepa, K Dev, TR Gadekallu, ... Journal of industrial information integration 26, 100257, 2022 | 1544 | 2022 |
A survey on blockchain for big data: Approaches, opportunities, and future directions N Deepa, QV Pham, DC Nguyen, S Bhattacharya, B Prabadevi, ... Future Generation Computer Systems 131, 209-226, 2022 | 622 | 2022 |
Sensors driven AI-based agriculture recommendation model for assessing land suitability DR Vincent, N Deepa, D Elavarasan, K Srinivasan, SH Chauhdary, ... Sensors 19 (17), 3667, 2019 | 228 | 2019 |
Blockchain for edge of things: Applications, opportunities, and challenges TR Gadekallu, QV Pham, DC Nguyen, PKR Maddikunta, N Deepa, ... IEEE Internet of Things Journal 9 (2), 964-988, 2021 | 191 | 2021 |
An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier N Deepa, B Prabadevi, PK Maddikunta, TR Gadekallu, T Baker, MA Khan, ... The Journal of Supercomputing 77, 1998-2017, 2021 | 157 | 2021 |
Comparative analysis of machine learning algorithms for prediction of smart grid stability† AK Bashir, S Khan, B Prabadevi, N Deepa, WS Alnumay, TR Gadekallu, ... International Transactions on Electrical Energy Systems 31 (9), e12706, 2021 | 107 | 2021 |
Predictive model for battery life in IoT networks PK Reddy Maddikunta, G Srivastava, T Reddy Gadekallu, N Deepa, ... IET Intelligent Transport Systems 14 (11), 1388-1395, 2020 | 105 | 2020 |
Toward blockchain for edge-of-things: a new paradigm, opportunities, and future directions B Prabadevi, N Deepa, QV Pham, DC Nguyen, T Reddy, PN Pathirana, ... IEEE Internet of Things Magazine 4 (2), 102-108, 2021 | 60 | 2021 |
Detecting COVID-19-related fake news using feature extraction S Khan, S Hakak, N Deepa, B Prabadevi, K Dev, S Trelova Frontiers in Public Health 9, 788074, 2022 | 55 | 2022 |
Decision-making tool for crop selection for agriculture development N Deepa, K Ganesan Neural Computing and Applications 31, 1215-1225, 2019 | 55 | 2019 |
Multiclass model for agriculture development using multivariate statistical method N Deepa, MZ Khan, B Prabadevi, DRV PM, PKR Maddikunta, ... IEEE Access 8, 183749-183758, 2020 | 50 | 2020 |
Multi-class classification using hybrid soft decision model for agriculture crop selection N Deepa, K Ganesan Neural Computing and Applications 30, 1025-1038, 2018 | 45 | 2018 |
Realizing sustainable development via modified integrated weighting MCDM model for ranking agrarian dataset N Deepa, K Ganesan, K Srinivasan, CY Chang Sustainability 11 (21), 6060, 2019 | 41 | 2019 |
An ensemble model for intrusion detection in the internet of softwarized things G Srivastava, N Deepa, B Prabadevi, PK Reddy M Adjunct proceedings of the 2021 international conference on distributed …, 2021 | 33 | 2021 |
Quality assessment of tire shearography images via ensemble hybrid faster region-based ConvNets CY Chang, K Srinivasan, WC Wang, GP Ganapathy, DR Vincent, ... Electronics 9 (1), 45, 2019 | 32 | 2019 |
Deep learning for intelligent demand response and smart grids: A comprehensive survey QV Pham, M Liyanage, N Deepa, M VVSS, S Reddy, PKR Maddikunta, ... arXiv preprint arXiv:2101.08013, 2021 | 30 | 2021 |
Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection N Deepa, K Ganesan Soft computing 23 (21), 10793-10809, 2019 | 29 | 2019 |
Predictive mathematical model for solving multi-criteria decision-making problems N Deepa, K Ganesan, B Sethuramasamyraja Neural Computing and Applications 31, 6733-6746, 2019 | 27 | 2019 |
An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm MB Begum, N Deepa, M Uddin, R Kaluri, M Abdelhaq, R Alsaqour Heliyon 9 (6), 2023 | 26 | 2023 |
Deep learning for intelligent demand response and smart grids: A comprehensive survey P Boopathy, M Liyanage, N Deepa, M Velavali, S Reddy, ... Computer Science Review 51, 100617, 2024 | 24 | 2024 |