Results 131 to 140 of about 217,331 (267)
Evaluation of GAN-Based Model for Adversarial Training. [PDF]
Sensors (Basel), 2023 Zhao W, Mahmoud QH, Alwidian S.
europepmc +1 more source
Adversarial Training: A Survey
Adversarial training (AT) refers to integrating adversarial examples -- inputs altered with imperceptible perturbations that can significantly impact model predictions -- into the training process. Recent studies have demonstrated the effectiveness of AT in improving the robustness of deep neural networks against diverse adversarial attacks. However, a
Zhao, Mengnan +5 more
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Diversifying Emotional Dialogue Generation via Selective Adversarial Training. [PDF]
Sensors (Basel), 2023 Li B, Zhao H, Zhang Z.
europepmc +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
Advanced Intelligent Systems, EarlyView.This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
A Gradual Adversarial Training Method for Semantic Segmentation
Remote SensingDeep neural networks (DNNs) have achieved great success in various computer vision tasks. However, they are susceptible to artificially designed adversarial perturbations, which limit their deployment in security-critical applications.
Yinkai Zan, Pingping Lu, Tingyu Meng
doaj +1 more source
Feature separation and adversarial training for the patient-independent detection of epileptic seizures. [PDF]
Front Comput Neurosci, 2023 Yang Y +5 more
europepmc +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification. [PDF]
Sensors (Basel), 2023 Wang D, Jin W, Wu Y.
europepmc +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT For adults with intellectual disability and their families, future planning and moving out of the family home in Australia will increasingly occur within the context of the National Disability Insurance Scheme (NDIS). As a market‐based, individualised funding system its impact on this transition remains largely unknown. This paper reports on a
I. Belperio +5 more
wiley +1 more source