Olaf Yunus Laitinen Imanov

Orcid: 0009-0006-5184-0810

According to our database1, Olaf Yunus Laitinen Imanov authored at least 11 papers in 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures.
CoRR, April, 2026

Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility.
CoRR, March, 2026

Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction.
CoRR, February, 2026

Autonomous AI Agents for Real-Time Affordable Housing Site Selection: Multi-Objective Reinforcement Learning Under Regulatory Constraints.
CoRR, February, 2026

Energy-Efficient Neuromorphic Computing for Edge AI: A Framework with Adaptive Spiking Neural Networks and Hardware-Aware Optimization.
CoRR, February, 2026

Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations.
CoRR, February, 2026

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting.
CoRR, January, 2026

Transparency-First Medical Language Models: Datasheets, Model Cards, and End-to-End Data Provenance for Clinical NLP.
CoRR, January, 2026

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR, January, 2026

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting.
CoRR, January, 2026

Uncertainty-Calibrated Explainable AI for Fetal Ultrasound Plane Classification.
CoRR, January, 2026


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