Hyper-Spectral Imaging Through a Multi-Mode Fiber via Machine Learning



Deep Learning Image Transmission Through a Multi-mode Fiber
Kürekci, Şahin; Odabaş, M. Ekrem; Yüce, Emre (2019-09-06)
Multi-symplectic integration of coupled non-linear Schrodinger system with soliton solutions
AYDIN, AYHAN; Karasözen, Bülent (2009-01-01)
Systems of coupled non-linear Schrodinger equations with soliton solutions are integrated using the six-point scheme which is equivalent to the multi-symplectic Preissman scheme. The numerical dispersion relations are studied for the linearized equation. Numerical results for elastic and inelastic soliton collisions are presented. Numerical experiments confirm the excellent conservation of energy, momentum and norm in long-term computations and their relations to the qualitative behaviour of the soliton sol...
Multi-modal learning with generalizable nonlinear dimensionality reduction
Kaya, Semih; Vural, Elif; Department of Electrical and Electronics Engineering (2019)
Thanks to significant advancements in information technologies, people can acquire various types of data from the universe. This data may include multiple features in different domains. Widespread machine learning methods benefit from distinctive features of data to reach desired outputs. Numerous studies demonstrate that machine learning algorithms that make use of multi-modal representations of data have more potential than methods with single modal structure. This potential comes from the mutual agreemen...
Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction
KAYA, SEMİH; Vural, Elif (2019-08-26)
In practical machine learning settings, there often exist relations or links between data from different modalities. The goal of multimodal learning algorithms is to efficiently use the information available in different modalities to solve multi-modal classification or retrieval problems. In this study, we propose a multi-modal supervised representation learning algorithm based on nonlinear dimensionality reduction. Nonlinear embeddings often yield more flexible representations compared to linear counterpa...
Nonlinear modelling and control of the flow over aerofoils using CFD simulations
Karaca, H. D.; Alıcı, Gökçen Deniz; KASNAKOĞLU, Coşku (2016-09-01)
A simulation based approach for nonlinear dynamical modelling and feedback control of the drag to lift ratio for aerofoils is investigated through case studies involving NACA 23012, ag13 and b737a aerofoils. The flow around the aerofoils is studied via numerical solutions of the 2D Navier-Stokes (NS) equations. A standard computational fluid dynamics (CFD) solver is extended to be able to measure desired feedback values and to apply a control input to the flow field. The proposed modelling and control appro...
Citation Formats
E. Yüce, “Hyper-Spectral Imaging Through a Multi-Mode Fiber via Machine Learning,” presented at the NanoTr, Ankara, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99136.