Results 151 to 160 of about 28,593 (259)

RT‐DETR‐DA for Complex Scenes: Distracted Driving Detection With Feature Interaction and Dynamic Perception

Advanced Intelligent Systems, EarlyView.
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu, QiaoXing Li, XiBin Wang, Ying He, Sen Zhang   +4 more
wiley   +1 more source

Optimized intrusion detection using particle swarm optimization and neural networks in simulated and physical network environments. [PDF]

MethodsX
Ganesh V, Deshmukh SV.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

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, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Enhancing network traffic detection via interpolation augmentation and contrastive learning. [PDF]

PLoS One
Li L, Zhou Q, Yang X, Chen L.
europepmc   +1 more source

Unveiling a New Link: Cholesterol Deficiency in Smith–Lemli–Opitz and Niemann–Pick C as a Driver of Ciliopathies

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The ciliopathies are a group of genetic disorders caused by defective function of either the primary cilia (a large number) or the motile cilia (a much smaller number). These have been defined as diseases with mutations in genes encoding individual ciliary or cilia‐associated proteins.
Robert P. Erickson, Maria Teresa Fiorenza   +1 more
wiley   +1 more source

STS-AT: A Structured Tensor Flow Adversarial Training Framework for Robust Intrusion Detection. [PDF]

Sensors (Basel)
Zhu J, Chen Z, Cong R, Sun H, Dong Y.
europepmc   +1 more source

Engineering Tertiary Lymphoid Structures: Nanomedicine, Bioengineering, and Biomaterials for Precision Immunotherapy

Advanced NanoBiomed Research, EarlyView.
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley   +1 more source

Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach. [PDF]

Sci Rep
Dharini N, Janani VS, Katiravan J.
europepmc   +1 more source

Decoding the Pathophysiology of Autoimmune Diseases—Mechanism, Triggers, and Nanotherapeutics: A Review

Advanced NanoBiomed Research, EarlyView.
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari, Yunhui Min, Eun‐Ju Ko, Doyoung Kwon, Rehan Khan, Young‐Ok Son   +5 more
wiley   +1 more source

Non-local attention enhanced deep learning for robust cyberattack detection in industrial IoT-based SCADA systems. [PDF]

Sci Rep
Yilmaz MT, Polat O, Algul E, Doğan F.
europepmc   +1 more source