Results 121 to 130 of about 686,580 (270)
RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg+5 more
wiley +1 more source
MRDTL: a multi-relational decision tree learning algorithm
Héctor Ariel Leiva
openalex +2 more sources
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees [PDF]
Armstrong Aboah+5 more
openalex +1 more source
Phase change materials are integrated into silicon photonic circuits via 200 mm industrial wafer processes. Interferometric optical characterization reveals switching thresholds, transmission modulation, phase shifts, and record endurance (>108 cycles).
Rajath Sawant+11 more
wiley +1 more source
Machine learning for inference: using gradient boosting decision tree to assess non-linear effects of bus rapid transit on house prices [PDF]
Linchuan Yang+3 more
openalex +1 more source
Topology Optimization Enables Freeform Matrix Fourier Optics
A topology‐optimized freeform metasurface is designed and fabricated to realize matrix Fourier optics, enabling the diffraction of multiple polarization states into distinct far‐field orders. By combining forward design with gradient‐based inverse optimization, high polarization contrast of up to 98.7% is achieved.
Yu‐Tzu Liu+5 more
wiley +1 more source
A Neural Network Decision Tree for Learning Concepts from EEG Data
Vitaly Schetinin
openalex +2 more sources
On learning large output domain decision trees
Bibliography: p. 80-81.
openaire +3 more sources
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley +1 more source
Non‐Hermitian Topological Lattice Photonics: An Analytic Perspective
This review establishes exact analytical solutions for non‐Hermitian Hatano–Nelson, Su–Schrieffer–Heeger, and generalized Rice–Mele models. We demonstrate non‐Hermitian skin effects via point‐gap topology, hybrid skin‐topological edge states in 2D lattices, and spin‐polarized boundary modes governed by dual bulk‐boundary correspondence.
Shihua Chen+6 more
wiley +1 more source