Results 161 to 170 of about 55,056 (264)

Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation

open access: yesThe Laryngoscope, EarlyView.
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda   +11 more
wiley   +1 more source

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

open access: yesLaser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li   +4 more
wiley   +1 more source

Research on the Development of NVIDIA

open access: yesProceedings of the 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019), 2019
openaire   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

open access: yesLaser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis   +8 more
wiley   +1 more source

Accelerating sow nursing behavior monitoring with modified YOLO11n architecture and TensorRT integration. [PDF]

open access: yesPorcine Health Manag
Rahman M   +5 more
europepmc   +1 more source

Phase Multiplexed Optical Computing: Reconfiguring a Multi‐Task Diffractive Optical Processor Using Illumination Phase Diversity

open access: yesLaser &Photonics Reviews, EarlyView.
A monochrome multi‐task diffractive optical network architecture is designed to leverage illumination‐phase multiplexing to dynamically reconfigure its output function and accurately implement a large set of complex‐valued linear transformations between an input and an output aperture.
Xiao Wang, Aydogan Ozcan
wiley   +1 more source

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