Results 171 to 180 of about 145,154 (213)

A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis

Materials Genome Engineering Advances, EarlyView.
Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang, Yunpeng Guo, Chunran Wu, Tingbo Wang, Ming Huang, Wei Li, Xingyu Chen, Haijun Mao, Weijun Zhang, Wenjian Guo, Fenglin Wang, Zhuofeng Liu   +11 more
wiley   +1 more source

From the logic of coordination to goal-directed reasoning: the agentic turn in artificial intelligence. [PDF]

Front Artif Intell
Haidemariam T.
europepmc   +1 more source

The disruption of seed dispersal networks: disentangling the effects of habitat loss and fragmentation

Oikos, EarlyView.
Seed dispersal by frugivores is a central process linking plant reproduction, animal foraging, population persistence, and ecosystem resilience. Currently, the spatial template sustaining these interactions is rapidly reconfigured by habitat loss and fragmentation promoted by human activity.
Eliana Cazetta, Paulo R. Guimarães Jr
wiley   +1 more source

(Finite-Time) Thermodynamics, Hyperbolicity, Lorentz Invariance: Study of an Example. [PDF]

Entropy (Basel)
Guy B.
europepmc   +1 more source

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

Packaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas, Daniel Hellström, Henrik Pålsson, Yulia Vakulenko   +3 more
wiley   +1 more source

A guidance to intelligent metamaterials and metamaterials intelligence. [PDF]

Nat Commun
Qian C, Kaminer I, Chen H.
europepmc   +1 more source

JOM Forum: Theory Testing Is Theory Generation

Journal of Operations Management, EarlyView.
Mikko Ketokivi, Saku Mantere, Herman Aguinis, Richard Makadok, Morgan Swink, Elliot Bendoly, Rogelio Oliva   +6 more
wiley   +1 more source

Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study explores how the atmospheric state at initialisation creates windows of opportunity for improving week 3 forecasts of weather regime activity. Greenland blocking activity increases following Madden–Julian Oscillation phases 7, 8, and 1 and weak stratospheric polar vortex states, revealing patterns exploitable by statistical models.
Fabian Mockert, Christian M. Grams, Sebastian Lerch, Julian Quinting   +3 more
wiley   +1 more source

The WeDDa framework for preventing smishing and vishing using protocol agnostic cryptographic trust. [PDF]

Sci Rep
Salem MFM, Hamad EKI, El-Bendary MAM.
europepmc   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source