Meet Dattatreya Ramchandra Kaprekar: The Indian mathematician who discovered a ‘ghost number’ that always returns to itself

In a modest classroom in Devlali near Nashik, a schoolteacher quietly uncovered one of the most intriguing patterns in ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
IEEE

A Generalization of Iterative Closest Point Registration Algorithms Using a Local Reference Frame-Based SE(3) Augmentation

Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...
Frontiers

MVarGOSIM: an MPS algorithm for characterizing complex structures with multiple variables

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...
GitHub

Tomography baseline iterative algorithms

Many of the common iterative algorithms found in Tomography are missing from the library. They usually don't really fit in any first order algorithm canva (forward-backward, primal-dual etc). Now that ...
Scientific Research Publishing

Greffier, J., Frandon, J., Larbi, A., Beregi, J.P. and Pereira, F. (2019) CT Iterative Reconstruction Algorithms: A Task-Based Image Quality Assessment. European Radiology, 30 ...

ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
Scientific Research Publishing

Cao, J., Chen, J.B. and Cao, S.H. (2015) Studies on Iterative Algorithms for Modeling of Frequency-Domain Wave Equation Based on Multi-Grid Precondition. Chinese Journal of ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...
Frontiers

High-resolution surface wave dispersion spectrum computation based on iterative threshold shrinkage algorithm and its application to irregularly sampled data

Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. The computation of ...