Results 101 to 110 of about 1,070 (252)
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +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
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
APT attack threat-hunting network model based on hypergraph Transformer
To solve the problem that advanced persistent threat (APT) in the Internet of things (IoT) environment had the characteristics of strong concealment, long duration, and fast update iterations, it was difficult for traditional passive detection models to ...
Yuancheng LI, Yukun LIN
doaj +2 more sources
Attack Tactic and Technique Guided APT Attack Path Reasoning
Advanced persistent threat (APT) attacks are characterized by high stealthiness and long-lasting persistence, and provenance graphs constructed from kernel audit logs have become an important technique for APT attack detection.
LV Mingqi +4 more
doaj
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
DangerTheory BasedReal-timeResponseModelforAPTAttacks
:Anadvancedpersistentthreat(APT)isanetworkattackduringwhichanunauthorizedpersonobtainsaccesstoanetworkandstaysthereundetectedforalongperiodoftime.APTattacksaredifficulttoidentifybecauseoftheircompletelyinvisibility ...
张瑜 +4 more
doaj
Advanced Persistent Threats (APT)-Attribution-MICTIC Framework Extension [PDF]
openaire +1 more source

