Results 101 to 110 of about 2,268,403 (339)
Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation
Photoacoustic microscopy (PAM) is a powerful biomedical imaging tool renowned for its non‐invasiveness and high resolution. This review synthesizes recent technological advances and highlights their broad applications from cellular and organ‐level to whole‐animal imaging.
Tingting Wang +3 more
wiley +1 more source
In this paper, we propose a method for constructing error-correcting output codes (ECOCs) based on a codeword bit flipping algorithm to enhance adversarial robustness of neural networks.
Wooram Jang +3 more
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Rethinking data augmentation for adversarial robustness [PDF]
Hamid Eghbal-zadeh +7 more
openalex +1 more source
Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases
This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo +5 more
wiley +1 more source
Artificial intelligence (AI) has made remarkable progress in recent years in remote sensing applications, including environmental monitoring, crisis management, city planning, and agriculture.
Sumaiya Tasneem, Kazi Aminul Islam
doaj +1 more source
Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield [PDF]
Jin-Hwa Kim +2 more
openalex +1 more source
Robustness Against Adversarial Attacks Via Learning Confined Adversarial Polytopes
Comment: The paper has been accepted in ICASSP ...
Hamidi, Shayan Mohajer, Ye, Linfeng
openaire +2 more sources
Robust Adversarial Reinforcement Learning
Deep neural networks coupled with fast simulation and improved computation have led to recent successes in the field of reinforcement learning (RL). However, most current RL-based approaches fail to generalize since: (a) the gap between simulation and real world is so large that policy-learning approaches fail to transfer; (b) even if policy learning ...
Pinto, Lerrel +3 more
openaire +2 more sources
Lithium‐ion battery degradation arises from complex, localized processes during operation, limiting long‐term performance. In situ electrochemical liquid cell TEM provides unique access to these mechanisms. This review summarizes degradation phenomena revealed by liquid cell TEM, traces the evolution of the three main cell designs, compares their ...
Walid Dachraoui, Rolf Erni
wiley +1 more source

