Results 161 to 170 of about 49,141 (264)

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

A New Switchable Zr12 Oxocluster Based Large Pore Metal–Organic Framework Functionalized With Spin Crossover Complexes for Acetic Acid Colorimetric Sensing

open access: yesAngewandte Chemie, EarlyView.
We present here (1)⊂MIP‐216(Zr), a new hybrid material composed of an FeII spin crossover complex (1) loaded in the pores of a new hydrophobic metal–organic framework (MIP‐216(Zr), that presents a high affinity toward acetic acid and acts as a highly sensitive colorimetric sensor of acetic acid vapor due to a spin state switching of the encapsulated ...
Emmelyne Cuza   +8 more
wiley   +2 more sources

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang   +8 more
wiley   +1 more source

Reaction Environment Engineering for Selective C3+ Formation in CO2 Electroreduction: Progress and Perspectives

open access: yesAngewandte Chemie, EarlyView.
This work focuses on how to improve the selectivity and activity of electrocatalytic CO2 reduction to C3+ products, by the integration of electrocatalyst and electrolyte co‐design. We summarize key C3+ formation mechanisms and provide a comprehensive reaction network through thermodynamic analysis.
Ling Chen, Damien Voiry, Yan Jiao
wiley   +2 more sources

Genetic and environmental determinants of multicellular-like phenotypes in fission yeast. [PDF]

open access: yesGenetics
Kӧvér B   +6 more
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou   +5 more
wiley   +1 more source

Advanced machine learning-based screening for primary aldosteronism with plasma steroids, potassium, and renin. [PDF]

open access: yesNPJ Digit Med
Zhang W   +14 more
europepmc   +1 more source

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

open access: yesAI &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   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy