Results 141 to 150 of about 34,476 (259)
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. [PDF]
Rohanian O +6 more
europepmc +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Named entity recognition for Chinese based on global pointer and adversarial training. [PDF]
Li H, Cheng M, Yang Z, Yang L, Chua Y.
europepmc +1 more source
Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata +7 more
wiley +1 more source
Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]
Huang S, Wu X, Wu X, Wang K.
europepmc +1 more source
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali +15 more
wiley +1 more source
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction. [PDF]
Yang Y, Qin X, Wen H, Li F, Lin X.
europepmc +1 more source
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
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. [PDF]
Lanfredi RB, Schroeder JD, Tasdizen T.
europepmc +1 more source

