Results 111 to 120 of about 24,885,017 (322)
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
QuEst: Adversarial Attack Intensity Estimation via Query Response Analysis
MathematicsDeep learning has dramatically advanced computer vision tasks, including person re-identification (re-ID), substantially improving matching individuals across diverse camera views.
Eun Gi Lee, Chi Hyeok Min, Seok Bong Yoo
doaj +1 more source
Research on The Security of Face Recognition Systems Based on Digital and Physical Counterattacks [PDF]
ITM Web of ConferencesAdversarial attacks have become an important direction in the research of their security by generating adversarial samples or physically interfering to deceive face recognition systems. This study compares the two methods of digital and physical attacks,
Ma Tengyan
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples
, 2018 Adversarial examples are known to have a negative effect on the performance of classifiers which have otherwise good performance on undisturbed images.
Aydemir, Ayse Elvan +2 more
core
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Adversarial Neural Network Training for Secure and Robust Brain-to-Brain Communication
IEEE AccessIn the rapidly evolving domain of brain-to-brain communication, safeguarding the transmission of information against adversarial threats is paramount.
Hossein Ahmadi +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source