Results 111 to 120 of about 61,950 (353)
Decomposition of Total Factor Productivity Change in the U.S. Hog Industry [PDF]
The U.S. hog industry has experienced dramatic structural changes and rapid increases in farm productivity. A stochastic frontier analysis is used to measure hog enterprise total factor productivity (TFP) growth between 1992 and 2004 and to decompose ...
Key, Nigel D. +2 more
core +1 more source
Multi-output Technical Efficiency for Argentinean Dairy Farms Using Stochastic Production and Stochastic Distance Frontiers with Unbalanced Panel Data [PDF]
, 2006 Víctor H Moreira López +7 more
openalex +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.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
Managerial Effiency in German Top League Soccer [PDF]
This study applies stochastic frontier analytic techniques in the estimation of sporting production functions. As ex ante input factors, we use pre-seasonal estimates of wage bills of players and coaches that are transformed during the production process
Kern, Markus, Süssmuth, Bernd
core
Advanced Intelligent Discovery, EarlyView.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
Neural Network Based Models for Efficiency Frontier Analysis: An Application to East Asian Economies' Growth Decomposition [PDF]
There has been a long tradition in business and economics to use frontier analysis to assess a production unit’s performance. The first attempt utilized the data envelopment analysis (DEA) which is based on a piecewise linear and mathematical programming
Bin Wang, Hailin Liao, Tom Weyman-Jones
core
Stochastic Frontier Production Function With Errors-In-Variables
, 1999 This paper develops a procedure for estimating parameters of a cross-sectional stochastic frontier production function when the factors of production suffer from measurement errors. Specifically, we use Fuller's (1987) reliability ratio concept to develop an estimator for the model in Aigner et al (1977).
Dhawan, Rajeev, Jochumzen, Peter
openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.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
Bank Efficiency: Evidence from a Panel of European Banks [PDF]
The goal of this paper is to investigate the efficiency of the banking systems in eight European countries over the period 1994 to 2008 by using the production frontier methodology.
Effrosyni Alevizopoulou +1 more
core
Effects of Foreign Direct Investment on Firm-level Technical Efficiency: Stochastic Frontier Model Evidence from Chinese Manufacturing Firms [PDF]
, 2016 It has been recognized that multinational corporations can spill over to non-affiliated firms in host economies. Existing studies of foreign direct investment (FDI) and productivity growth often assume firms are perfectly efficient.
Wang, Miao Grace, Wong, Sunny
core +1 more source