Results 101 to 110 of about 5,384 (200)
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
IEEE AccessMonocular depth estimation (MDE) is an important task in scene understanding, and significant improvements in its performance have been witnessed with the utilization of convolutional neural networks (CNNs).
Amira Guesmi +3 more
doaj +1 more source
Adversarial Patch for 3D Local Feature Extractor
CoRRLocal feature extractors are the cornerstone of many computer vision tasks. However, their vulnerability to adversarial attacks can significantly compromise their effectiveness. This paper discusses approaches to attack sophisticated local feature extraction algorithms and models to achieve two distinct goals: (1) forcing a match between originally non-
Yu Wen Pao, Li-Chang Lai, Hong-Yi Lin
openaire +2 more sources
Journal of Microscopy, EarlyView.Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source
Searching for safety: Working conditions and policing in a US emergency department
Medical Anthropology Quarterly, EarlyView.Abstract In the United States, emergency departments aren't supposed to turn anyone away. They are the safety‐net of the safety‐net providing life‐saving care. Yet, what happens to healthcare when conditions are so strained that patients and staff lash out at each other? What happens when the safety net becomes a carceral net?
Fabián Luis C. Fernández
wiley +1 more source
Transformer‐Based Contextual Modeling for Predicting Calories From Recipes
Applied AI Letters, Volume 7, Issue 3, October 2026.A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley +1 more source
Super‐Resolution of Planetary Images Based on Generative Adversarial Network
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley +1 more source
Powerful representation of the poor? German welfare associations' narrative advocacy during COVID‐19
Policy Studies Journal, Volume 54, Issue 3, August 2026.Abstract The COVID‐19 pandemic sparked unprecedented experimentation in the German social assistance system, leading to changes previously considered impracticable by policymakers. This included a sanctions moratorium, easier access to benefits, and temporary cash transfers, all of which were advocated by welfare associations—key organized interests ...
Christopher Smith Ochoa
wiley +1 more source
International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda +4 more
wiley +1 more source
IEEE AccessIn the evolving landscape of deep neural network security, adversarial patch attacks present a serious challenge for object detection systems. We introduce OD-Shield, a novel defense approach that employs a convolutional autoencoder framework to detect ...
Byeongchan Kim +6 more
doaj +1 more source
Generative Artificial Intelligence and Large Language Models in Clinical Oncology
MedComm, Volume 7, Issue 7, July 2026.By integrating multimodal data, including medical imaging, pathology, omics, and electronic health records, generative AI and LLMs support cancer diagnosis, treatment planning, and follow‐up management. These technologies also enhance physician–patient communication, improve personalized treatment strategies, and leverage intelligent agent automation ...
Yunfang Yu +14 more
wiley +1 more source