Results 171 to 180 of about 11,487 (296)

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Study on Regional Evolution Characteristics of Coal Spontaneous Combustion and Gas Coupling Disaster in Composite Goaf with No-Pillar Mining. [PDF]

ACS Omega
Kong D, Han W, Guo J, Xue K, Zhang J, Zheng Y.   +5 more
europepmc   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
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, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Editorial: AI and robotics for increasing disaster resilience in modern societies. [PDF]

Front Robot AI
Kiam JJ, Dimou A, Alford R, Wedler A, Ambe Y.   +4 more
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

Disaster preparedness knowledge and experiences among nurses during a competitive tabletop exercise program. [PDF]

Front Public Health
Hu B, Wang B, Li F, Yang N, Chu Y, Hu S, Sun L.   +6 more
europepmc   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

Australian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings, Art Cotterell, Farzana Bruce   +2 more
wiley   +1 more source

Disaster management knowledge, education and training among Saudi paramedics a scoping review. [PDF]

BMC Public Health
Alqahtani MA, Toloo GS.
europepmc   +1 more source

Agent-based modeling and simulation for disaster recovery

, 2019
Disaster recovery is the process of recovery of a community followed by the losses occurred due to any natural or human-induced disaster. The goal of this research is to minimize the losses occurring because of these disasters by developing an agent ...
Murugesan, Kumareshbabu
core  

Development of a compound hazard risk index for natural and nuclear disasters and establishment of a prefecture-wide support system in Aomori. [PDF]

Front Public Health
Maekawa R, Tsujiguchi T, Naraoka M, Yamanouchi K, Ito K.   +4 more
europepmc   +1 more source