Results 151 to 160 of about 97,812 (355)
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies [PDF]
This paper uses Bayesian stochastic frontier methods to measure the productivity gap between Poland and Western countries that existed before the beginning of the main Polish economic reform.
Koop, G., Osiewalski, J., Steel, M.F.J.
core +1 more source
Semi-parametric modelling of inefficiencies in stochastic frontier analysis [PDF]
Giovanni Forchini, Raoul Theler
openalex +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Measuring Trade and Trade Potential : A Survey [PDF]
This paper provides a survey and a brief critical review of the literature on the widely used gravity models of trade, as a prelude to the justification of its use with the stochastic frontier methodology.
Shiro Armstrong
core +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Cost Efficiency and Returns to Scope in Italian Investment Firms [PDF]
This paper estimates cost efficiency and returns to scope of Italian investment firms during the period 1998-2002, following the stochastic frontier function approach.
Fulvio Fontini, Marcello Basili
core
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Comparing productivity growth in conventional and grassland dairy farms [PDF]
This paper analyzes technical efficiency and productivity growth of dairy farms in southern Germany. We compare the performance of farms operating on permanent grassland and conventional farms using fodder crops from arable land.
Kellermann, Magnus, Salhofer, Klaus
core +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source

