Results 71 to 80 of about 159,796 (327)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Asymmetric Deep Supervised Hashing
, 2017 Hashing has been widely used for large-scale approximate nearest neighbor search because of its storage and search efficiency. Recent work has found that deep supervised hashing can significantly outperform non-deep supervised hashing in many ...
Jiang, Qing-Yuan, Li, Wu-Jun
core +1 more source
Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance
Advanced Science, EarlyView.DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin +15 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Spinal code based on lightweight hash function [PDF]
Archives of Electrical Engineering, 2019 A spinal code is the type of rateless code, which has been proved to be capacity- achieving over both a binary symmetric channel (BSC) and an additive white Gaussian noise (AWGN) channel. Rateless spinal codes employ a hash function as a coding kernel to
Lina Wang, Xinran Li
doaj +1 more source
Learning to Hash-tag Videos with Tag2Vec
, 2016 User-given tags or labels are valuable resources for semantic understanding of visual media such as images and videos. Recently, a new type of labeling mechanism known as hash-tags have become increasingly popular on social media sites. In this paper, we
Narayanan, PJ +3 more
core +1 more source
SPHINCS$^+$ post-quantum digital signature scheme with Streebog hash function
, 2020 Many commonly used public key cryptosystems will become insecure once a scalable quantum computer is built. New cryptographic schemes that can guarantee protection against attacks with quantum computers, so-called post-quantum algorithms, have emerged in
Anufriev, M. N. +5 more
core +1 more source
A Hash Table Without Hash Functions, and How to Get the Most Out of Your Random Bits [PDF]
, 2022 William Kuszmaul
openalex +1 more source
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
Advanced Intelligent Systems, EarlyView.True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley +1 more source