Cloud‐Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems N Arivazhagan, K Somasundaram, D Vijendra Babu, ... Scientific Programming 2022 (1), 4100352, 2022 | 51 | 2022 |
Nanotechnology based sensitive bio sensors for covid19 prediction using fuzzy logic control A vikas maheshwari,md rashid mahmood,sumukham,N journal of Nanomaterials 2021, 2021 | 39 | 2021 |
Detection and prediction of HMS from drinking water by analysing the adsorbents from residuals using deep learning SK Suman, N Arivazhagan, L Bhagyalakshmi, H Shekhar, ... Adsorption Science & Technology 2022, 3265366, 2022 | 19 | 2022 |
Analysis of skin cancer and patient healthcare using data mining techniques N Arivazhagan, MA Mukunthan, D Sundaranarayana, A Shankar, ... Computational Intelligence and Neuroscience 2022 (1), 2250275, 2022 | 15 | 2022 |
& Prabhu Sundramurthy, V.(2022). Cloud-Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare … N Arivazhagan, K Somasundaram, D Vijendra Babu, ... Scientific Programming, 1-12, 2022 | 10 | 2022 |
Improving the network performance using mp-olsr protocol for wireless ad hoc network (MANET) B Naveen Chandar, N Arivazhagan, K Venkatesh Int J Recent Technol Eng 8 (3), 5700-5707, 2019 | 5 | 2019 |
Data Privacy and Ethics in Data Analytics RS Rajasegar, P Gouthaman, V Ponnusamy, N Arivazhagan, ... Data Analytics and Machine Learning: Navigating the Big Data Landscape, 195-213, 2024 | 3 | 2024 |
[Retracted] An Improved Machine Learning Model for Diagnostic Cancer Recognition Using Artificial Intelligence N Arivazhagan, J Venkatesh, K Somasundaram, K Vijayalakshmi, ... Evidence‐Based Complementary and Alternative Medicine 2022 (1), 1078056, 2022 | 3 | 2022 |
Inventory Prediction Using Market Basket Analysis and Text Segmentation—A Review NA sai teja Lecture Notes in Networks and Systems 130 130, 2020 | 1 | 2020 |
Computer Vision and Robotics for Industry 5.0 P Gouthaman, RR Shanthi, V Ponnusamy, N Arivazhagan Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges …, 2024 | | 2024 |
Modern Real-World Applications Using Data Analytics and Machine Learning V Ponnusamy, V Nallarasan, RS Rajasegar, N Arivazhagan, ... Data Analytics and Machine Learning: Navigating the Big Data Landscape, 215-235, 2024 | | 2024 |
Revolutionizing Face Detection: VisionaryNet’s Breakthrough in Unraveling Facial Camplexity V Nallarasan, N Arivazhagan, R Lakshminarayanan, D Sharmila, ... 2024 2nd International Conference on Computer, Communication and Control …, 2024 | | 2024 |
Development of a Pothole Detection System Using Deep Learning Techniques and Depth BPKP Colaco, N Arivazhagan Deep Sciences for Computing and Communications: Second International …, 2024 | | 2024 |
An Intensive Approach to Solve Linguistic Issue Using Data Mining and Ontology Based Advanced Algorithms MMU Maheswari, N Arivazhagan International Conference on Artificial Intelligence and Digital Twin …, 2023 | | 2023 |
Development of a Pothole Detection System Using Deep Learning Techniques and Depth Estimation B Phukan, KP Colaco, N Arivazhagan International Conference on Deep Sciences for Computing and Communications …, 2023 | | 2023 |
A Secure Persistent Health Care System Using Blockchain Smart Contract BJ Praveena, N Arivazhagan International Conference on Deep Sciences for Computing and Communications …, 2023 | | 2023 |
A Comparison on Hyperledger Consensus Mechanism Security and their Applications S Nikolić, N Zdravković, I Franc, N Arivazhagan | | 2023 |
Visual Question Answering System for Relational Networks M Fathima Najiya, N Arivazhagan Proceedings of International Conference on Deep Learning, Computing and …, 2022 | | 2022 |
Deep Learning Taxonomy on Human Face Expression Recognition for Communication Applications R Bhargava, N Arivazhagan, K Sureshbabu International Conference on Deep Sciences for Computing and Communications …, 2022 | | 2022 |
Research Article Detection and Prediction of HMS from Drinking Water by Analysing the Adsorbents from Residuals Using Deep Learning SK Suman, N Arivazhagan, L Bhagyalakshmi, H Shekhar, PS Priya, ... | | 2022 |