Results 111 to 120 of about 221,728 (275)
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang +5 more
wiley +1 more source
Real-time detectors for digital and physical adversarial inputs to perception systems [PDF]
Yiannis Kantaros +5 more
openalex +1 more source
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla +8 more
wiley +1 more source
Adversarial Detection with a Dynamically Stable System
Adversarial detection is designed to identify and reject maliciously crafted adversarial examples(AEs) which are generated to disrupt the classification of target models. Presently, various input transformation-based methods have been developed on adversarial example detection, which typically rely on empirical experience and lead to unreliability ...
Long, Xiaowei, Lin, Jie, Yang, Xiangyuan
openaire +2 more sources
AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee +3 more
wiley +1 more source
Adversarial Attacks on Binary Image Recognition Systems
Eric Balkanski +5 more
openalex +2 more sources
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu +8 more
wiley +1 more source
Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment. [PDF]
Amaithi Rajan A, V V, M A, R PK.
europepmc +1 more source
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang +3 more
wiley +1 more source

