Results 271 to 280 of about 489,759 (365)
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer +6 more
wiley +1 more source
Regularized reproducing kernel particle method
Huy Anh Nguyen, Satoyuki Tanaka
openalex +1 more source
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley +1 more source
IMPRESSION generation 2 - accurate, fast and generalised neural network model for predicting NMR parameters in place of DFT. [PDF]
Yiu C +7 more
europepmc +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Probabilistic Richardson extrapolation. [PDF]
Oates CJ +4 more
europepmc +1 more source
Haptic Perception via the Dynamics of a Flexible Body Inspired by an Ostrich's Neck
Inspired by avian anatomy, this study uses a flexible robotic neck to investigate haptic perception driven by musculoskeletal dynamics. By applying physical reservoir computing, the robot encodes external force interactions into its body dynamics, allowing effective object classification.
Kazashi Nakano +3 more
wiley +1 more source
A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning. [PDF]
Sun D, Yang X, Yang H.
europepmc +1 more source
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat +10 more
wiley +1 more source
MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates. [PDF]
Xu S, Liu S, Zhou Y.
europepmc +1 more source

