Results 61 to 70 of about 1,828,404 (296)
Counting Basic-Irreducible Factors Mod p^k in Deterministic Poly-Time and p-Adic Applications [PDF]
, 2019 Finding an irreducible factor, of a polynomial f(x) modulo a prime p, is not known to be in deterministic polynomial time. Though there is such a classical algorithm that counts the number of irreducible factors of f mod p.
Saxena, Nitin +2 more
core +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Refining irreducible water saturation predictions in reservoir rocks using machine learning models
Unconventional ResourcesThis study introduces a data-driven framework for predicting irreducible water saturation (Swi) in reservoir rocks, addressing the limitations of traditional empirical models and capturing the complexity of heterogeneous formations. Using a comprehensive
Lulwah M. Alkwai +4 more
doaj +1 more source
The Japanese Hernia Society (JHS) Guidelines for Adult Groin Hernia Management 2024
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Groin hernia is a common surgical condition. The Japanese Hernia Society (JHS) Guidelines for Groin Hernia Management 2024 were developed to reflect both international evidence and the realities of clinical practice in Japan. This article is an authorized English translation of a summary of the adult section of the JHS Guidelines for Groin ...
Hitoshi Idani +10 more
wiley +1 more source
Random Numerical Semigroups and a Simplicial Complex of Irreducible Semigroups [PDF]
The Electronic Journal of Combinatorics, 2018 We examine properties of random numerical semigroups under a probabilistic model inspired by the Erdos-Renyi model for random graphs. We provide a threshold function for cofiniteness, and bound the expected embedding dimension, genus, and Frobenius number of random semigroups.
Jesús A. De Loera +2 more
openaire +3 more sources
Groups with only two nonlinear non-faithful irreducible characters [PDF]
, 2019 summary:We determine the groups with exactly two nonlinear non-faithful irreducible characters whose kernels intersect ...
Lewis, Mark L., Chen, Xiaoyou
core +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
pyCLAMs: An integrated Python toolkit for classifiability analysis
SoftwareX, 2022 In data-driven discriminative tasks, classifiability analysis is an often-neglected and implicit step. It answers the fundamental question: does the dataset possess sufficient between-class differences? To measure the dataset’s classifiability degree, we
Yinsheng Zhang +3 more
doaj +1 more source
Irreducible Complexity: Obstacle to Darwinian Evolution [PDF]
, 2006 W arykule tym Michael J. Behe pokrótce przedstawia ideę inteligentnego projektu, kładąc szczególny nacisk na własną koncepcję nieredukowalnej złożoności układów biochemicznych.
Behe, Michael J.
core
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source