Results 101 to 110 of about 227,956 (276)
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui +3 more
wiley +1 more source
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System [PDF]
Stepan Komkov, Aleksandr Petiushko
openalex +1 more source
Carbon Dots: Small Materials With Big Impacts on Optoelectronic Devices
This review systematically summarizes the roles of carbon dots in optoelectronic devices, emphasizing their electro‐induced effects, and structural optimization strategies. It further analyzes performance limitations and prospects for the preparation and application of high‐quality carbon dots.
Boyang Wang, Junwei Wang, Siyu Lu
wiley +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
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
Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems
Cybersecurity attacks pose a significant threat to the security of network systems through intrusions and illegal communications. Measuring the vulnerability of cybersecurity is crucial for refining the overall system security to further mitigate ...
Meaad Ahmed +3 more
doaj +1 more source
Adversarial Attacks on GMM i-vector based Speaker Verification Systems [PDF]
Xu Li +5 more
openalex +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng +10 more
wiley +1 more source
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems [PDF]
Guangke Chen +6 more
openalex +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems [PDF]
Ashim Gupta, Amrith Krishna
openalex +1 more source

