Results 41 to 50 of about 221,728 (275)
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley +1 more source
It is synthesized precision‐arranged DNA origami plasmonic nanoantennas for multiplexed and intelligent warning of bone loss induced by microgravity and radiation. The ordered nanoantennas simultaneously and accurately detected calcium ions, interleukin‐6, and microRNA‐214 in serum from mice exposed to microgravity and radiation, with performance ...
Yufan Ling +14 more
wiley +1 more source
Plaintiff aims in medical negligence disputes: limitations of an adversarial system. [PDF]
Tumelty ME.
europepmc +1 more source
Financial development in adversarial and inquisitorial legal systems [PDF]
Abstract This paper aims to understand why common law countries have more developed financial markets than civil law countries. One difference between these two legal origins is the procedure of evidence collection for a trial: It is adversarial in common law and inquisitorial in civil law.
openaire +4 more sources
Multiple Classifier Systems for Adversarial Classification Tasks [PDF]
Pattern classification systems are currently used in security applications like intrusion detection in computer networks, spam filtering and biometric identity recognition. These are adversarial classification problems, since the classifier faces an intelligent adversary who adaptively modifies patterns (e.g., spam e-mails) to evade it.
BIGGIO, BATTISTA +2 more
openaire +2 more sources
Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang +3 more
wiley +1 more source
STEMDiff: A Wavelet‐Enhanced Diffusion Model for Physics‐Informed STEM Image Generation
STEMDiff, which is a conditional diffusion model that generates realistic STEM images from crystal structure‐derived binary labels, is proposed, overcoming high‐frequency bias via a Discrete Wavelet Transform‐based architecture. It produces experimentally indistinguishable images, enabling annotation‐free training of networks for precise atomic ...
Yihui Bao +4 more
wiley +1 more source
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
As an important tool in security, the intrusion detection system bears the responsibility of the defense to network attacks performed by malicious traffic.
Lin, Zilong, Shi, Yong, Xue, Zhi
core
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems [PDF]
Xiaofeng Li +2 more
openalex +3 more sources
Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley +1 more source

