One Algorithm, Four Worlds: The Cross-Domain AI Map That Could Reshape Connected Systems
A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer vision, and ...
A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer vision, and ...
A new study of FemTech apps and devices in the UK, EU and Switzerland finds regulatory gaps, invalid consent and ...
A new review argues that the Internet of Things is a socio-technical ensemble in which human and machine components interact ...
A new framework fuses an unsupervised machine learning ensemble with a lightweight blockchain to detect and confirm intrusions in wireless ...
A graph-augmented framework called IOTTRUST enriches conventional IoT intrusion detection with network flow topology features, achieving 99.07 percent accuracy and ...
Researchers in India have built a hybrid intrusion detection system combining causal learning, entropy-based feature compression, adversarial calibration, and federated ...
A new review of 29 recent studies finds that no deep learning intrusion detection system has been evaluated jointly for ...
Researchers have developed a semi-supervised, domain-adaptive intrusion detection algorithm that combines mutual-information-maximizing adversarial networks with uncertainty-aware pseudo-labeling to detect attacks ...
A new PRISMA-based systematic review of 32 studies finds that AI can dramatically cut household energy and water waste, but ...
Researchers have combined prototypical few-shot learning with adversarial training to build an IoT intrusion detection system that learns attacks from ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine