Results 231 to 240 of about 239,181 (305)
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
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
COVID-19 activity screening by a smart-data-driven multi-band voice analysis. [PDF]
Silva G, Batista P, Rodrigues PM.
europepmc +1 more source
Reflux Symptom Index (RSI), Videolaryngostroboscopy and Voice Analysis: A Triad of Non-Invasive Tools to Study Treatment Outcomes of Laryngopharyngeal Reflux Disease (LPRD). [PDF]
Suda A +4 more
europepmc +1 more source
COVID-19: Affect recognition through voice analysis during the winter lockdown in Scotland
de la Fuente Garcia S, Haider F, Luz S.
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
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source

