Dipak Nidhi
dipak.nidhi@utu.fi |
- A Fine-Tuned Fuzzy-Optimized UNet++ for Retinal Vessel Segmentation (2026)
- IEEE Access
- Mineral prospectivity mapping under extreme imbalance using contrastive embeddings balanced learning and integrated uncertainty analysis (2026)
- Discover Computing
- 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
- Enhancing Mineral Prospectivity Mapping with Contrastive Representation Learning and Dimensionality Reduction Techniques (2025)
- Lecture Notes in Networks and Systems
- Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (2025)
- Journal of Artificial Intelligence Research
- Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
- The new age of fetal ultrasonography aided by artificial intelligence (2024) Nidhi, Dipak Kumar
- Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
- Evaluation of Spatiotemporal Fetal Cardiac Imaging Using Deep Learning Techniques (2023)
- Lecture Notes in Electrical Engineering
UTU Research Portal