Results 121 to 130 of about 82,323 (308)

Stochastic Frontier Estimation of Technical Efficiency Measurement in the Iranian Insurance Companies [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2004
The main objective in this paper is twofold: measuring technical efficiency and indicating its determinant factors for the Iranian insurance companies.
Khosrow Piraee,, Hosein Kazemi
doaj  

Analyzing Productivity Growth: Evidence from China’s Manufacturing Industries [PDF]

open access: yes
This article examines the growth attributes of manufacturing industries in China for the sample period of 1999-2007. All manufacturing industries are grouped into and four main industry groups and four geographical regions.
Kui-Wai Li, Tung Liu
core  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects [PDF]

open access: yes
This paper analyzes the performance of the European railway sector in the period of deregulation (1990-2005). Using a stochastic frontier panel data model that controls for unobserved heterogeneity a multiple-output multiple input distance function model
Heike Wetzel
core  

Analysing the efficiency of Portuguese pension funds : a stochastic frontier model [PDF]

open access: yes, 2007
This paper examines technical efficiency of Portuguese pension funds management companies, using a stochastic frontier model in order to obtain estimates of economies of scale and scope.
Barros, Carlos Pestana   +2 more
core  

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced 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

Accounting for unobservables in production models:management and inefficiency [PDF]

open access: yes
This paper explores the role of unobserved managerial ability in production and its relationship with technical efficiency. Previous analyses of managerial ability have been based on strong assumptions about its role in production or on the use of ...
Antonio Álvarez   +2 more
core  

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced 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

COMPARISON OF AGRICULTURAL FARM EFFICIENCY IN SLOVAK REGIONS BEFORE AND AFTER EU ACCESSION [PDF]

open access: yes
This paper presents results of stochastic parametric approach used in estimation of farm technical efficiency. The estimation of output oriented technical efficiency was based on Stochastic Frontier analysis with Cobb-Douglas production function.
Kovae, S., Kropkova, Z., Sojkova, Z.
core   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced 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

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