| SL NO. |
AUTHOR NAME |
TITLE OF THE PAPER |
TITLE OF THE CONFERENCE/ JOURNAL |
AFFILIATION |
AUTHOR TYPE |
YEAR |
| 1 |
Dr. Neelamadhab Padhy |
Comparative Evaluation of Machine Learning Classifiers for Breast Cancer Diagnosis: A Comprehensive Statistical Analysis |
The 6th International Electronic Conference on Applied Sciences) |
GIETU |
6th |
2026 |
| 2 |
Dr. Neelamadhab Padhy |
Does Sampling Improve the Precision-Recall Trade-off in Fraud Detection Systems? An Empirical Study Using Ensemble Machine Learning Models |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2026 |
| 3 |
Dr. Rasmita Panigrahi |
Reinforcement Learning-Driven Adaptive Task Grouping with Deep-ConvLSTM Based VM Sizing in Container as a Service Cloud Environment |
Lecture Notes in Networks and Systems |
GIETU |
2nd |
2026 |
| 4 |
Dr. Neelamadhab Padhy |
AI-Powered ECG Signal Analysis for Cardiac Biosensors |
Lecture Notes in Networks and Systems |
GIETU |
2nd |
2026 |
| 5 |
Dr. Neelamadhab Padhy |
Analysis of a Perturbed Rectangular Patch Antenna with Machine Learning Tactics for 28 GHz Applications |
Wireless Personal Communications |
GIETU |
3rd |
2026 |
| 6 |
Dr. Nilamber Sethi |
Artificial intelligence in pancreatic cancer: applications in early detection, tumor staging, and survival prediction—a comprehensive review |
Wireless Personal Communications |
GIETU |
1st |
2026 |
| 7 |
Mr. Prahallab Sahu |
Interpretable EEG cognitive state assessment using fuzzy modeling and case-based neurophysiological evidence |
Applied Neuropsychology: Adult |
GIETU |
1st |
2026 |
| 8 |
Mr. Prahallab Sahu |
A hybrid adaptive neuro-fuzzy inference system and machine learning architecture for EEG-driven cognitive state recognition |
International Journal of Computers and Applications |
GIETU |
1st |
20226 |
| 9 |
Dr. Nilamber Sethi |
MKVI: Hybridization of k-shell Decomposition, Vertex Cover, and Independent Set for Influence Maximization in Multiplex Networks. |
International Journal of Performability Engineering |
GIETU |
2nd |
2026 |
| 10 |
Dr. Premansu Sekhara Rath |
Chapter Twenty One – AI-enhanced data processing for modeling applications |
Advances in Computers |
GIETU |
2nd |
2026 |
| 11 |
Dr. Kakita Murali Gopal |
A Multi-Stage Hybrid Deep Learning Pipeline for Efficient Breast Cancer Diagnosis |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2026 |
| 12 |
Mr. G.V.S. Narayana |
An image-driven deep learning framework for proxy-based weed-impact assessment and crop-risk analysis |
Discover Life |
GIETU |
1st |
2026 |
| 13 |
Dr. Kakita Murali Gopal |
Integrating Convolutional Neural Networks with Finite-State Machines for Fault Detection in Mobile Robots |
Industrial Robots and Automation |
GIETU |
3rd |
2026 |
| 14 |
Dr. Rasmita Panigrahi |
Investigating the effectiveness of abstract syntax tree for refactoring prediction at class level using LSTM |
Cluster Computing |
GIETU |
1st |
2026 |
| 15 |
Dr. Rasmita Panigrahi |
Energy-and-deadline-aware optimal resource management and task consolidation using a hybrid Adaptive Neuro-Fuzzy Inference System with binary Chaotic Jaya optimization for cloud-based systems |
Journal of Cloud Computing |
GIETU |
2nd |
2026 |
