Results 131 to 140 of about 5,384,791 (287)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Adaptive Image Adversarial Example Detection Based on Class Activation Mapping

Part 5: ML Attack, VulnerabilityInternational audienceWith the development of deep learning technology, convolutional neural network (CNN) has been widely used in many fields such as face recognition, automatic driving, biomedicine, etc., replacing human
Wang, Xiujuan, Li, Qipeng, Lu, Shuaibing
core   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video

Advanced Intelligent Systems, EarlyView.
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang, Wenmin Wang, Zhongheng Chen, Zhengyu Peng   +3 more
wiley   +1 more source

Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling

Advanced Intelligent Systems, EarlyView.
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park, Mingyun Oh, Dongbeen Shin, Jaehyeon Kim, Jonghyun Ko, Jiseong Im, Yeongheon Yang, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Family Dispute Resolution in Australia: The Under‐Servicing of Indigenous, Migrant and Refugee Families Experiencing Family Violence

Australian Journal of Social Issues, EarlyView.
ABSTRACT Improving access to legal services for Indigenous, migrant and refugee women is critical to addressing family violence. In this context, Family Dispute Resolution (FDR) has long been discussed as a solution for separating families. This paper presents key findings of a research evaluation of an Australian Government $8.37 million pilot project
Siobhan McDonnell, Alyson Wright
wiley   +1 more source

Graph Neural Networks for Adversarial Example Detection

Online commerce has been growing rapidly and the fraudsters exploit the weak points of the payment systems by injecting crafted examples that deceive models.
Priya Amrut Kadam
core   +1 more source

A survey of practical adversarial example attacks

, 2018
Adversarial examples revealed the weakness of machine learning techniques in terms of robustness, which moreover inspired adversaries to make use of the weakness to attack systems employing machine learning.
Lu Sun, Mingtian Tan, Zhe Zhou
core   +1 more source

Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers

Applied System Innovation
Text classifiers are Artificial Intelligence (AI) models used to classify new documents or text vectors into predefined classes. They are typically built using supervised learning algorithms and labelled datasets.
Harsha Moraliyage, Geemini Kulawardana, Daswin De Silva, Zafar Issadeen, Milos Manic, Seiichiro Katsura   +5 more
doaj   +1 more source