Dipak Nidhi
dipak.nidhi@utu.fi |
Publications
- Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation (2025) 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Nidhi, Dipak Kumar; Nevalainen, Paavo; Chaudhary, Jatin; Heikkonen, Jukka; Kanth, Rajeev
(A4 Refereed article in a conference publication ) - Enhancing Mineral Prospectivity Mapping with Contrastive Representation Learning and Dimensionality Reduction Techniques (2025)
- Lecture Notes in Networks and Systems
(A4 Refereed article in a conference publication ) - Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (2025)
- Journal of Artificial Intelligence Research
(A1 Refereed original research article in a scientific journal) - Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
(A2 Refereed review article in a scientific journal ) - The new age of fetal ultrasonography aided by artificial intelligence (2024) Nidhi, Dipak Kumar
(Other publication) - Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
(A4 Refereed article in a conference publication ) - Evaluation of Spatiotemporal Fetal Cardiac Imaging Using Deep Learning Techniques (2023)
- Lecture Notes in Electrical Engineering
(A4 Refereed article in a conference publication )
UTU Research Portal