GBR-DETR: A Real-Time Tomato Leaf Disease Detection Model for Edge Device Deployment. [PDF]
Zhuo J +6 more
europepmc +1 more source
Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation
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
Technical implementation and feasibility of the world's first artificial intelligence-assisted augmented reality-based instrument de-occlusion in robotic-assisted right hemicolectomy. [PDF]
Petropoulou T +5 more
europepmc +1 more source
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley +1 more source
Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]
Suchý I, Turčaník M.
europepmc +1 more source
Interleaved Diffractive Networks for Information Transfer Through Random Diffusers
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
GPU-Accelerated Signal Processing for Distributed Vibration Sensing Based on OVNA Method. [PDF]
Meoli A +4 more
europepmc +1 more source
Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds
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
Efficient Parallelization of Message Passing Neural Network Potentials for Large-Scale Molecular Dynamics. [PDF]
Xia J, Jiang B.
europepmc +1 more source
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

