Results 171 to 180 of about 92,357 (305)

Aggregate Matching Efficiency : A Stochastic Production Frontier Approach, France 1990-1994 [PDF]

We evaluate the determinants of aggregate matching efficiency changes through a stochastic Cobb-Douglas production frontier model. The efficiency coefficient is represented by a stochastic function of variables meant to capture workers and firms ...
Aomar IBOURK, Béatrice MAILLARD, Henri R. SNEESSENS, Serge PERELMAN   +3 more
core  

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

Structural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou, Shiping Huang, Belén Riveiro, M. Z. Naser   +3 more
wiley   +1 more source

The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data. [PDF]

Animals (Basel)
Forleo MB, Di Renzo P, Romagnoli L, Giaccio V, Scardera A.   +4 more
europepmc   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

Systems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza, Joshua Sutherland, Marc‐Andre Chavy‐Macdonald, Olivier L. de Weck   +3 more
wiley   +1 more source

Factors associated with the export of traditional Chinese medicinal products: A stochastic frontier analysis. [PDF]

PLoS One
Chen Y, Zhou S, Pei Z, Zhao W, Yang J, Hu Y, Feng X, Xu M.   +7 more
europepmc   +1 more source

A Comparison of Stochastic Frontier Approaches to Estimating Inefficiency and Total Factor Productivity: An Application to Irish Dairy Farming [PDF]

This paper compares standard stochastic frontier models for panel data with a number of recently developed models designed to remove unobserved heterogeneity from the inefficiency component.
Carol Newman, Fiona Thorne, James Carroll   +2 more
core  

A multimodal deep learning framework for predicting sunitinib response in advanced clear cell renal cell carcinoma

VIEW, EarlyView.
In this study, we constructed a prognostic model for ccRCC patients treated with Sunitinib through a deep learning‐based multimodal approach. Our CGPR model further confirms the feasibility of integrating multimodal and provides guidance for future tumor patients to receive precision therapy.
Xi Tian, Yuchen Jiang, Shuxuan Zhu, Xiaohang Liu, Aihetaimujiang Anwaier, Shiqi Ye, Kun Chang, Yuanyuan Qu, Ya‐Jia Gu, Hailiang Zhang, Dingwei Ye, Wenhao Xu   +11 more
wiley   +1 more source

Technical efficiency of teff farms in Ethiopia: Do neighborhood effects matter? A copula stochastic frontier and spatial Durbin regression. [PDF]

Heliyon
Fikadu AA, Gebre GG.
europepmc   +1 more source

Determinants and efficiency of Pakistan's chemical products' exports: An application of stochastic frontier gravity model. [PDF]

PLoS One, 2019
Atif RM, Mahmood H, Haiyun L, Mao H.
europepmc   +1 more source

Assessing the Technical and Allocative Efficiency of U.S. Organic Producers [PDF]

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S.
Lohr, Luanne, Park, Timothy A.
core   +1 more source