A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called Effort.jl is changing that. By mimicking the behavior of complex cosmological ...

Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...

The first half of 2026 brought five major space discoveries that challenged existing scientific theories, from record-breaking black holes and an ancient interstellar comet to surprising findings ...

ESA's Euclid telescope identified 12 quasars from the universe's first 770 million years — more than the previous decade of ...

Abstract: We propose a new many-objective evolutionary algorithm with Pareto-adaptive reference points. In this algorithm, the shape of the Pareto-optimal front (PF) is estimated based on a ratio of ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

We designed our approach to be systematic and minimally biased by previous knowledge of yeast biology. Our objective was to discover distinct expression patterns (clusters) in mRNA data sets and then ...

ABSTRACT: Two Mehrotra-type predictor-corrector interior point algorithms are proposed for solving symmetric cone optimization (SCO) problems, using the Euclidean Jordan algebra. The algorithms ...