Real-time electronic circuit control via brain-computer interface with machine learning K. P. Manikandan, D. Aarthi, Sanjit Das, R. Manikandan, Ravi Kumar Saidala, et al. Concepts and Applications of Brain Computer Interfaces, 2025 The purpose of this investigation is to investigate the possibility of achieving with machine instruction algorithms. By utilizing neural impulses, brain-computer interface (BCI) technologies make it possible for the human brain to communicate directly with the outside world. Developing a strong framework that can analyze brain exertion patterns through the application of modern machine literacy methods is the primary emphasis of this project. One of the most important goals is to optimize signal processing techniques to improve the signal-to-noise ratio. Another important objective is to enforce adaptive algorithms to provide effective real-time control. By providing implicit operations in assistive technology and neuroprosthetics, the approach that has been developed intends to facilitate smooth and seamless commerce between electronic systems and pharmaceutical corporations. The experimental confirmation process entails putting the system through a series of tests to determine its dependability, sensitivity, and responsiveness across a variety of circuit configurations.
MACAFNet transformer-based multi-atlas fusion framework for autism spectrum disorder classification using functional connectivity D Aarthi, S Kannimuthu Scientific Reports , 2026 2026
Gradient Aware Attention Networks for Interpretable Chest X Ray Pathology Identification K Kodeeswari, D Aarthi, B Goyal, K Arulmozhiarasu, HD Praveena, ... 2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026 2026
Graph Based Routing Optimisation in 5G/6G Wireless Mesh Networks with Mixed Mobility Nodes D Aarthi, H Anandaram, MS Soundharyaa, S Sowmiya, FV Jayasudha 2026 5th International Conference on Communication, Computing and … , 2026 2026
Classification and Detection of Brain Tumor Using Deep Learning Techniques D Aarthi, SS Deepika, MJ Devi, P Sowmya, S Subathra International Conference on Edge Computing and Applications, 167-177 , 2025 2025
Machine Learning-Based Land Encroachment Detection Using Satellite Imagery S Malathi, D Aarthi, BR Supreeth, K Bhargavi, S Muthumeena, M Tiwari 2025 International Conference on Recent Innovation in Science Engineering … , 2025 2025
A Recent Research and Evolving Patterns in Computer Vision Employing Deep Learning M Mutharasu, D Aarthi, P Ramya, G Manikandan, R Rawat, N Kalaivani 2025 6th International Conference for Emerging Technology (INCET), 1-6 , 2025 2025 Citations: 1
Vehiguard Transfer Learning-Driven Quantum PSO-LSTM for Automotive Cyber Security D Aarthi, D Gokila, P Loganathan, R Mutha, SV Saveeithaa 2025 International Conference on Data Science, Agents & Artificial … , 2025 2025 Citations: 1
Energy-Grid-Optimizer Model Utilizing EfficientNet-Inception Framework for Smart Energy Systems and Grid Optimization D Aarthi, PVN Kumar, PK Gamit, SS Dhamone, PN Reddy, NR Lavuri 2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025 2025
Real-Time Electronic Circuit Control via Brain-Computer Interface With Machine Learning KP Manikandan, D Aarthi, S Das, R Manikandan, RK Saidala, ... Concepts and Applications of Brain-Computer Interfaces, 181-196 , 2025 2025
Certain Investigations on Machine Learning Models for Material Processing D Aarthi, S Kannimuthu International Conference on Recent Advancements in Materials Science and … , 2024 2024
A Novel Machine Learning Model For Financial Volatility Detection In Corporate Companies D Aarthi, R Madala, K Susithra, S Biswal, SS Nanda, K Joshi 2023 6th International Conference on Contemporary Computing and Informatics … , 2023 2023 Citations: 5
A comprehensive analysis of autism spectrum disorder using machine learning algorithms: Survey D Aarthi, S Kannimuthu International Conference on Power Engineering and Intelligent Systems (PEIS … , 2023 2023 Citations: 7
Machine Learning and Deep Transfer Learning approaches were used to create a Face Mask Identification model for COVID-19 BS Rao, D Aarthi, S Verma, PV Nandankar, P Radhakrishnan 2022 International Conference on Innovative Computing, Intelligent … , 2022 2022 Citations: 7
AUTISM SPECTRUM DISORDER ANALYSIS USING ARTIFICIAL INTELLIGENCE: A SURVEY D Aarthi, M Udhayamoorthi, G Lavanya International Journal of Advanced Research in Engineering and Technology … , 2020 2020 Citations: 2
Utility Mining Algorithms: A Bird’s Eye View D Aarthi, S Lavanya, S Kannimuthu, K Subhashree International Conference on Computer Networks and Inventive Communication … , 2019 2019 Citations: 1
Analysis of human behavior using gaming effects and social factors in video games KB Subhashree, S Lavanya, KS Bhuvaneshwari, D Aarthi Int J Innov Technol Expl Eng 8, 619-25 , 2019 2019 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
A comprehensive analysis of autism spectrum disorder using machine learning algorithms: Survey D Aarthi, S Kannimuthu International Conference on Power Engineering and Intelligent Systems (PEIS … , 2023 2023 Citations: 7
Machine Learning and Deep Transfer Learning approaches were used to create a Face Mask Identification model for COVID-19 BS Rao, D Aarthi, S Verma, PV Nandankar, P Radhakrishnan 2022 International Conference on Innovative Computing, Intelligent … , 2022 2022 Citations: 7
A Novel Machine Learning Model For Financial Volatility Detection In Corporate Companies D Aarthi, R Madala, K Susithra, S Biswal, SS Nanda, K Joshi 2023 6th International Conference on Contemporary Computing and Informatics … , 2023 2023 Citations: 5
Analysis of human behavior using gaming effects and social factors in video games KB Subhashree, S Lavanya, KS Bhuvaneshwari, D Aarthi Int J Innov Technol Expl Eng 8, 619-25 , 2019 2019 Citations: 3
AUTISM SPECTRUM DISORDER ANALYSIS USING ARTIFICIAL INTELLIGENCE: A SURVEY D Aarthi, M Udhayamoorthi, G Lavanya International Journal of Advanced Research in Engineering and Technology … , 2020 2020 Citations: 2
A Recent Research and Evolving Patterns in Computer Vision Employing Deep Learning M Mutharasu, D Aarthi, P Ramya, G Manikandan, R Rawat, N Kalaivani 2025 6th International Conference for Emerging Technology (INCET), 1-6 , 2025 2025 Citations: 1
Vehiguard Transfer Learning-Driven Quantum PSO-LSTM for Automotive Cyber Security D Aarthi, D Gokila, P Loganathan, R Mutha, SV Saveeithaa 2025 International Conference on Data Science, Agents & Artificial … , 2025 2025 Citations: 1
Utility Mining Algorithms: A Bird’s Eye View D Aarthi, S Lavanya, S Kannimuthu, K Subhashree International Conference on Computer Networks and Inventive Communication … , 2019 2019 Citations: 1
MACAFNet transformer-based multi-atlas fusion framework for autism spectrum disorder classification using functional connectivity D Aarthi, S Kannimuthu Scientific Reports , 2026 2026
Gradient Aware Attention Networks for Interpretable Chest X Ray Pathology Identification K Kodeeswari, D Aarthi, B Goyal, K Arulmozhiarasu, HD Praveena, ... 2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026 2026
Graph Based Routing Optimisation in 5G/6G Wireless Mesh Networks with Mixed Mobility Nodes D Aarthi, H Anandaram, MS Soundharyaa, S Sowmiya, FV Jayasudha 2026 5th International Conference on Communication, Computing and … , 2026 2026
Classification and Detection of Brain Tumor Using Deep Learning Techniques D Aarthi, SS Deepika, MJ Devi, P Sowmya, S Subathra International Conference on Edge Computing and Applications, 167-177 , 2025 2025
Machine Learning-Based Land Encroachment Detection Using Satellite Imagery S Malathi, D Aarthi, BR Supreeth, K Bhargavi, S Muthumeena, M Tiwari 2025 International Conference on Recent Innovation in Science Engineering … , 2025 2025
Energy-Grid-Optimizer Model Utilizing EfficientNet-Inception Framework for Smart Energy Systems and Grid Optimization D Aarthi, PVN Kumar, PK Gamit, SS Dhamone, PN Reddy, NR Lavuri 2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025 2025
Real-Time Electronic Circuit Control via Brain-Computer Interface With Machine Learning KP Manikandan, D Aarthi, S Das, R Manikandan, RK Saidala, ... Concepts and Applications of Brain-Computer Interfaces, 181-196 , 2025 2025
Certain Investigations on Machine Learning Models for Material Processing D Aarthi, S Kannimuthu International Conference on Recent Advancements in Materials Science and … , 2024 2024
