An Integrated and Robust Vision System for Internal and External Thread Defect Detection with Adversarial Defense. [PDF]
Fu L, Li L, Zhang G, Jiang Z.
europepmc +1 more source
Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song +6 more
wiley +1 more source
Segment and Recover: Defending Object Detectors Against Adversarial Patch Attacks. [PDF]
Gu H, Jafarnejadsani H.
europepmc +1 more source
Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar +2 more
openalex +2 more sources
Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems
Ángel Luis Perales Gómez +4 more
openalex +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Conditional generative adversarial network technology for OFDM system receiver signal detection. [PDF]
Liu Y, Liu P, Shi Y, Hao X.
europepmc +1 more source
Overriding Autonomous Driving Systems Using Adaptive Adversarial Billboards
Naman Patel +3 more
openalex +1 more source
This study presents a robot‐assisted remote rehabilitation system for postoperative ankle fractures. The 2.634 kg modular system uses wireless control and deep learning to predict force delays, achieving 100 Hz control (normalized root mean square error ≤ 10.89%).
Zhiyuan He +4 more
wiley +1 more source
Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments. [PDF]
Gutierrez R, Villegas-Ch W, Govea J.
europepmc +1 more source

