Results 91 to 100 of about 5,561,446 (302)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

An Adversarial Attack via Penalty Method

IEEE Access
Deep learning systems have achieved significant success across various machine learning tasks. However, they are highly vulnerable to attacks. For example, adversarial examples can fool deep learning systems easily by perturbing inputs with small ...
Jiyuan Sun, Haibo Yu, Jianjun Zhao
doaj   +1 more source

Adversarial attack and defense in reinforcement learning-from AI security view

Cybersecurity, 2019
Reinforcement learning is a core technology for modern artificial intelligence, and it has become a workhorse for AI applications ranging from Atrai Game to Connected and Automated Vehicle System (CAV).
Tong Chen, Jiqiang Liu, Yingxiao Xiang, Wenjia Niu, Endong Tong, Zhen Han   +5 more
doaj   +1 more source

Foveation-based Mechanisms Alleviate Adversarial Examples [PDF]

, 2016
We show that adversarial examples, i.e., the visually imperceptible perturbations that result in Convolutional Neural Networks (CNNs) fail, can be alleviated with a mechanism based on foveations---applying the CNN in different image regions. To see this,
Boix, Xavier, Luo, Yan, Poggio, Tomaso, Roig, Gemma, Zhao, Qi   +4 more
core   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Early Radiation Therapy Response Assessment Using Multi‐Scale Photoacoustic Imaging

Advanced Science, EarlyView.
Tomographic and mesoscopic photoacoustics capture intratumoural features of radioresistance and response. ABSTRACT There is a critical unmet clinical need to identify biomarkers that predict and detect radiation therapy (RT) response in cancer. Using the unique capabilities of multi‐scale photoacoustic imaging (PAI) to depict tumor oxygenation and ...
Thierry L. Lefebvre, Mariam‐Eleni Oraiopoulou, Ellie V. Bunce, Thomas R. Else, Lorna C. Wright, Monika A. Golinska, Lina Hacker, Cara Brodie, Steven Kupczak, Yi Cheng, Lisa Young, Paul W. Sweeney, Sarah E. Bohndiek   +12 more
wiley   +1 more source

An Audio Watermarking Algorithm Based on Adversarial Perturbation

Applied Sciences
Recently, deep learning has been gradually applied to digital watermarking, which avoids the trouble of hand-designing robust transforms in traditional algorithms.
Shiqiang Wu, Jie Liu, Ying Huang, Hu Guan, Shuwu Zhang   +4 more
doaj   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Adversarial robustness analysis of LiDAR-included models in autonomous driving

High-Confidence Computing
In autonomous driving systems, perception is pivotal, relying chiefly on sensors like LiDAR and cameras for environmental awareness. LiDAR, celebrated for its detailed depth perception, is being increasingly integrated into autonomous vehicles.
Bo Yang, Zizhi Jin, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu   +4 more
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source