Results 181 to 190 of about 512,229 (281)

Lithic analysis in African archaeology: Advances and key themes

Archaeometry, EarlyView.
Abstract Stone artifacts (lithics) preserve for extended periods; thus they are key evidence for probing the evolution of human technological behaviors. Africa boasts the oldest record of stone artifacts, spanning 3.3 Ma, rare instances of ethnographic stone tool‐making, and stone tool archives from diverse ecological settings, making it an anchor for ...
Deborah I. Olszewski, Amanuel Beyin, Justin Pargeter   +2 more
wiley   +1 more source

Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]

Sensors (Basel)
Guo Y, Ma L, Zhang Y.
europepmc   +1 more source

Correcting Axial Length‐Related Magnification Errors in Optical Coherence Tomography Angiography Improves Machine Learning Classification Performance in High Myopia

Clinical &Experimental Ophthalmology, EarlyView.
ABSTRACT Background To determine whether axial length‐related magnification correction in optical coherence tomography angiography (OCTA) improves machine learning classification of high myopia and resolves inconsistencies in the values and discriminatory power of OCTA microvascular metrics.
Danuta M. Sampson, Mila Yue Zhang, Hemn Baghban Jaldian, Madeleine S. Torcasso, Gavrielle R. Untracht, Jocelyn J. Drinkwater, Mei Zhao, David D. Sampson, Andrew Lam, Fred K. Chen   +9 more
wiley   +1 more source

Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels. [PDF]

Proc SPIE Int Soc Opt Eng
Din H, Yuan Y, Kim GH, McNitt-Gray M, Stayman JW, Gang GJ.   +5 more
europepmc   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

An Adaptive Super-Resolution Network for Drone Ship Images. [PDF]

Entropy (Basel)
Li H, Xiong W, Cui Y, Yao L.
europepmc   +1 more source

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 more
wiley   +1 more source

Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]

Sci Rep
Ahmad Z, Shabeer J, Hidayat A, Saleem U, Qadeer T, Sami A, Khalidi ZE, Mehmood S, Pokharel S, Rana OA, Aydogan B, Muhammad W.   +11 more
europepmc   +1 more source

Statistical Denoising of Transient Rendering

Computer Graphics Forum, EarlyView.
Abstract Transient rendering simulates light in motion, measuring the time of flight from the light source to the camera. However, the stochastic nature of Monte Carlo is aggravated in transient rendering, since samples are now spread along the temporal domain.
Oscar Pueyo‐Ciutad, Alvaro Lopez, Diego Gutierrez   +2 more
wiley   +1 more source

A Fast Nonlinear Sparse Model for Blind Image Deblurring. [PDF]

J Imaging
Zhang Z, Guo Z, Xu Z, Chen H, Wang C, Song Y, Lai J, Ji Y, Li Z.   +8 more
europepmc   +1 more source